The coronavirus disease 2019 (COVID-19) pandemic has disproportionately impacted immunocompromised hosts, leading to higher morbidity and mortality. The clinical outcomes have varied based on the degree of immunosuppression, treatment availability, severe acute respiratory syndrome coronavirus 2 variants, and vaccination status. This review discusses the evolving epidemiology, clinical presentation, treatment, and prevention strategies for COVID-19 in immunocompromised populations, including patients living with human immunodeficiency virus, solid organ transplant, and hematopoietic stem cell transplant recipients.

Few studies have captured the impact of inadequate nurse staffing levels and broader health patient conditions in admitted patients during the COVID-19 pandemic. We aimed to determine the association between nurse staffing coverage, care complexity individual factors (CCIFs) and adverse events (AEs) in patients admitted with COVID-19.

A multicentre cross-sectional study was conducted from March 1, 2020 to March 31, 2022 at eight public health hospitals in Spain. All patients with COVID-19 who were admitted to these hospitals were included. The main variables included AEs, nurse staffing coverage (as measured using the ATIC patient classification system) and CCIFs to evaluate broader patient health conditions. Adjusted logistic models were performed to identify associations with AEs, stratified by patients admitted to wards and hospitalized patients who required admission to intensive care units (ICUs).

A total of 11,968 hospitalized patients, 2,824 (23.6%) experienced AEs. Multivariate analysis showed that higher levels of nurse staffing coverage protected against AEs. Among patients admitted to acute wards, the independent risk factors for AEs included old age, haemodynamic instability, chronic disease, uncontrolled pain, urinary or faecal incontinence and mental status impairments. In addition to these factors, extreme weight, position impairment and communication disorders were factors associated with AEs in patients who required ICU admission.

Nurse staffing coverage was a protective factor for AEs. Several CCIFs related to comorbidity/complications, developmental, and mental-cognitive domains were strongly associated with AEs. Therefore, ensuring safe nurse staffing levels could be improve patient outcomes.

Changing disease dynamics and access to COVID-19 vaccines in Japan warrant a timely description of the burden of severe disease. Here we report inpatient healthcare resource utilization of COVID-19 in Japan and contextualize results with influenza.

We selected persons hospitalized for COVID-19 (ICD-10 code U07.1) from April 1, 2020 - January 31, 2024 or influenza (ICD-10 code J09.X - J11.x) from November 1, 2017 - October 31, 2019 from Medical Data Vision, a large hospital-based database in Japan. Outcomes of interest were length of stay, intensive care unit (ICU) admission, receipt of invasive mechanical ventilation (IMV), and inpatient mortality, assessed overall, as well as stratified by age groups and calendar time.

Among 5,684 hospitalized COVID-19 cases, persons were older (median age 80 vs 64) and had a longer length of stay (median 21 vs 5 days) than the 18,584 influenza cases. The proportions of patients admitted to ICU (3% vs 1%), received IMV (6% vs 3%) and died in hospital (12% vs 3%) were higher in COVID-19 patients than influenza patients. Burden was higher in adult COVID-19 patients than pediatric COVID-19 patients, although for both adults and pediatric patients, COVID-19 burden surpassed influenza. Inpatient burden of COVID-19 between May 2023 and January 2024 remained greater than influenza, with 5-times longer length of stay, more frequent need for ICU care (3-times higher), IMV support (2-times higher) and in-hospital deaths (4-times higher).

These findings underscore the need for continued prevention and treatment of COVID-19 to prevent severe disease.

Previous research demonstrated Non-Hispanic Black populations experience higher COVID-19 mortality rates than Non-Hispanic White individuals. Additionally, cancer status is a known risk factor for COVID-19 death. While prior studies investigated comorbidities as exploratory variables in differences in COVID-19 hospitalization, none have explored their role in COVID-19-related deaths. This study aimed to evaluate whether Charlson Comorbidity Index (CCI) and subsequently, individual diseases are potential explanatory variables for this relationship. The analysis focused on Non-Hispanic Black and Non-Hispanic White cancer patients aged 20 or older, diagnosed between 2011 and 2019, who tested positive for COVID-19 from the start of pandemic through June 30, 2021 from Louisiana Tumor Registry. Two separate mediation analyses were conducted. First checked whether overall comorbidity, measured by CCI, could explain the difference in COVID-19 mortality. If so, further checked which individual comorbidities contributed to this difference. The hazard rate for Non-Hispanic Black cancer patients dying from COVID-19 was 6.46 times than that of Non-Hispanic White patients. The CCI accounted for 12.7% of the differences observed in COVID-19 mortality, with renal disease as the top contributor, explaining 4.9%. These findings could help develop interventions to reduce COVID-19 mortality and address the disproportionate impact, especially by managing chronic conditions like renal disease.

Identifying patients at a risk of severe COVID-19 is crucial for prompt intervention and mortality risk mitigation. The monocyte distribution width (MDW) is an effective accurate predictor of sepsis in emergency settings, facilitating timely patient management. However, few reliable laboratory parameters are available for predicting the severity and prognosis of COVID-19. Thus, this study was conducted to investigate whether MDW can accurately predict the severity and progression of COVID-19 pneumonia.

This retrospective cohort study included patients with COVID-19 pneumonia who had been admitted to our hospital between January 1, 2022, and September 31, 2022. The primary outcome was the development of critical illness, which was assessed in terms of intensive care unit (ICU) admission, need for mechanical ventilation (MV), or mortality. The secondary outcomes were durations of ICU stay, MV, and hospital stay. Multivariate logistic regression was performed to estimate the risks of critical illness and mortality.

Data from 878 patients with COVID-19 were analyzed. Of these, 258 (29.4%) developed critical illness. The high-MDW group (MDW > 22) showed a higher rate of critical illness (155/452, 34.29%) compared to the low-MDW group (103/426, 24.18%). Mortality was also higher in the high-MDW group (95/452, 21.02%) than in the low-MDW group (37/426, 8.69%). Patients with MDW > 22 exhibited a significantly higher risk of developing critical illness (adjusted odds ratio [aOR]: 1.48; 95% confidence interval [CI]: 1.08-2.04) and mortality (aOR: 2.46; 95% CI: 1.63-3.74) compared to those with MDW ≤ 22.

Our findings suggest that an elevated MDW value at presentation may serve as a promising predictor of severe outcomes in patients with COVID-19 pneumonia. This underscores the need for further research to validate the utility of MDW in predicting critical illness among patients with viral pneumonia.

The COVID-19 pandemic disrupted normal mechanisms of health care delivery and facilitated the rapid and widespread implementation of telehealth technology. As a result, the effectiveness of virtual health care visits in diverse populations represents an important consideration. We used lung cancer screening as a prototype to determine whether subsequent adherence differs between virtual and in-person encounters in an urban, safety-net health care system.

We conducted a retrospective analysis of initial low-dose computed tomography (LDCT) ordered for lung cancer screening from March 2020 through February 2023 within Parkland Health, the integrated safety-net provider for Dallas County, TX. We collected data on patient characteristics, visit type, and LDCT completion from the electronic medical record. Associations among these variables were assessed using the chi-square test. We also performed interaction analyses according to visit type.

Initial LDCT orders were placed for a total of 1,887 patients, of whom 43% were female, 45% were Black, and 17% were Hispanic. Among these orders, 343 (18%) were placed during virtual health care visits. From March to August 2020, 79 of 163 (48%) LDCT orders were placed during virtual visits; after that time, 264 of 1,724 (15%) LDCT orders were placed during virtual visits. No patient characteristics were significantly associated with visit type (in-person v virtual) or LDCT completion. Rates of LDCT completion were 95% after in-person visits and 97% after virtual visits (P = .13).

In a safety-net lung cancer screening population, patients were as likely to complete postvisit initial LDCT when ordered in a virtual encounter as in an in-person encounter.

Previous research has suggested antiviral properties for lithium, including potential effectiveness against COVID-19 in vitro. This study aimed to investigate the impact of lithium and other psychotropic drugs on the risks of mortality, hospitalization, and ICU admission due to COVID-19 among individuals with bipolar disorder. The primary objective was to assess whether lithium was beneficial in COVID-19-infection in a real-world population.

Retrospective register study using data from multiple Swedish patient registers, including 39,063 individuals in Sweden with bipolar disorder and prescribed mood stabilizers. Outcomes included COVID-19-associated death, hospitalization, and ICU admission between 11 March 2020 and 10 March 2021. Multivariate logistic regression adjusted for age, sex, and somatic comorbidities was conducted.

Lithium were prescribed to 44.2 % of patients, either as mono- or combination therapy; other mood stabilizers were prescribed to 55.8 %. There were no significant associations between lithium and COVID-19-associated death, hospitalization, or ICU admission. Atypical antipsychotics were associated with increased odds ratios for COVID-19-associated death (OR 1.58 [95 % CI 1.01-2.47]), hospitalization (OR 1.80 [95 % CI 1.49-2.18]), and ICU admission (OR 2.25 [95 % CI 1.33-3.80]). Benzodiazepines were associated with a significant increase in COVID-19-associated death (OR 1.54 [95 % CI 1.01-2.35]) and hospitalization OR 1.26 [95 % CI 1.03-1.53]). In an ad hoc analysis, lithium monotherapy was, however, associated with reduced hospitalizations and ICU admissions.

Our findings weaken the hypothesis that lithium reduces the risk of severe events associated with COVID-19 infection in bipolar disorder.

Nirmatrelvir/ritonavir (NMV/r) is an oral antiviral treatment for mild to moderate coronavirus disease 2019 (COVID-19).

This phase 2/3, double-blind, randomized (1:1) study assessed oral NMV/r 300 mg/100 mg versus placebo every 12 hours for 5 days in high-risk, unvaccinated, nonhospitalized, symptomatic adults with COVID-19 from 343 sites across 21 countries. In testing the primary endpoint of COVID-19‒related hospitalization and all-cause deaths and key secondary endpoints, including symptom duration and COVID-19‒related medical visits, type I error was controlled with prespecified sequential testing and the Hochberg procedure.

Among 2113 randomized patients enrolled from July 2021 through December 2021, 1966 (NMV/r, n = 977; placebo, n = 989) were included in the prespecified analysis population (symptom onset ≤5 days, did not receive monoclonal antibodies). NMV/r significantly reduced times to sustained alleviation (median, 13 vs 15 days; hazard ratio = 1.27, P < .0001) and resolution (16 vs 19 days; hazard ratio = 1.20, P = .0022) through day 28 and significantly reduced the number of COVID-19‒related medical visits and the proportion of patients with such visits. Hospitalized patients treated with NMV/r had shorter stays, none required intensive care unit admission or mechanical ventilation, and all were discharged to home/self-care. Fewer NMV/r-treated patients required additional treatment for COVID-19. No NMV/r-treated patients died through week 24 compared with 15 placebo-treated patients.

In addition to reducing COVID-19‒related hospitalization or death from any cause through day 28, NMV/r was found to also reduce duration of COVID-19 symptoms and utilization of healthcare resources versus placebo in patients at high risk of progressing to severe disease.

ClinicalTrials.gov, NCT04960202, https://clinicaltrials.gov/study/NCT04960202.

During the COVID-19 pandemic, Florida reported some of the highest numbers of cases and deaths in the US; however, county-level variation in COVID-19 outcomes has yet to be comprehensively investigated. The present ecological study aimed to assess correlates of COVID-19 outcomes among Florida counties that explain variation in case rate, mortality rate, and case fatality rate (CFR) across pandemic waves.

We obtained county-level administrative data and COVID-19 case reports from public repositories. We tested spatial autocorrelation to assess geographic clustering in COVID-19 case rate, mortality rate, and CFR. Stepwise linear regression was employed to investigate the association between COVID-19 outcomes and 17 demographic, socioeconomic, and health-related county-level predictors.

We found mortality rate and CFR were significantly higher in rural counties compared to urban counties, among which significant differences in vaccination coverage were also observed. Multivariate analysis found that the percentage of the population aged over 65 years, the percentage of obese people, and the percentage of the rural population were significant predictors of COVID-19 case rate. Median age, vaccination coverage, percentage of people who smoke, and percentage of the population with diabetes were significant influencing factors for CFR. Importantly, higher vaccination coverage was significantly associated with a reduction in case rate (R = -0.26, p = 0.03) and mortality (R = -0.51, p < 0.001). Last, we found that spatial dependencies play a role in explaining variations in COVID-19 CFR among Florida counties.

Our findings emphasize the need for targeted, equitable public health strategies to reduce disparities and enhance population resilience during public health crises.

Coronavirus 2019 (COVID-19) infection has a significant mortality rate. Despite the disease's extensive effects, little is known about the prognostic indicators that can be used. We aimed to assess the prognostic value of neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-C-reactive protein ratio (LCR) and platelet-to- lymphocyte ratio (PLR) in predicting mortality of intensive care unit (ICU) patients. Demographic data, underlying diseases, laboratory parameters were evaluated. The study included 222 cases. The mortality rate was 57.65%. No significant differences in terms of sex, age, or underlying disease were observed between the two groups with and without mortality. Obesity, oxygen therapy, invasive mechanical ventilation (IMV) rates and high SOFA (Sequential Organ Failure Assessment) scores were found to be significantly higher in the group with a mortal course. The mortality rate was significantly higher in patients with lung involvement over 50%, with a low lymphocyte count at ICU admission. In this patient group, NLR was found to be higher, and LCR was found to be lower (P = .001). Although there was no significant difference in PLR between the two groups in univariate analysis, multivariate analysis revealed that PLR was independently associated with mortality. High NLR and low LCR values at ICU admission might serve as early warning signs for healthcare providers, allowing them to identify patients at higher risk of mortality.

BNT162b2 and mRNA-1273 COVID-19 vaccines have been used for mass vaccinations in Curaçao, the Caribbean but information on adverse events (AEs)in this population is unavailable. This study describes the characteristics of vaccinees that incurred AEs, explores the associations between AEs by vaccine and doses, and estimates the rate of AEs.

Vaccination and AEs data for all persons of age 5 years (range 5-105 years) and older who received two doses of COVID-19 vaccine at 71 centres in Curaçao between February 24, 2021, and April 5, 2023, were included in this retrospective observational study.

The vaccines differed significantly in the frequency distribution of vaccinees by age, age groups, sex, AEs, and prior COVID-19 infection. Occurrence of AEs was strongly associated with mRNA vaccine brand, sex, number of doses, but not with age, age group, and prior COVID-19 infection. Of 209,720 doses, 84 persons (0.04%) incurred AEs following two doses of mRNA vaccines (overall rate of 40.1 per 100,000 persons (95% CI 32.4-49.6). AEs were also significantly higher in females compared to males.AE rates associated with BNT162b2, and mRNA-1273 vaccines were low, but BNT162b2 vaccinees incurred substantially significantly higher AE rates (58.3 per 100,000 persons, 95% CI 45.4-74.9) than mRNA-1273 vaccinees (21.9 per 100,000 persons, 95% CI 14.6-32.8). mRNA-1273 vaccine was associated with a significantly lower risk of AEs.

AE reporting varied by age, sex, and vaccine used as well as the number of doses. Future studies with follow-up and longer-term reporting of AEs should be conducted.

Optimizing outcomes of hospitalized patients anchors on standardizing processes in medical management, interventions to reduce the risk of decompensation, and prompt intervention when a patient decompensates.

A quality improvement initiative (optimized sepsis and respiratory compromise management, reducing health care-associated infection and medication risk, swift management of the deteriorating patient, feedback on performance, and accountability) was implemented in a multistate health system. The primary outcome was risk-adjusted in-hospital mortality. Secondary outcomes included health care-associated infections, patient-days with hypoglycemic and severe hyperglycemic episodes, and hospital onset (HO) acute kidney injury (AKI).

A total of 2,015,408 patients were admitted to 88 hospitals over the 36-month study period. Overall mortality improved from the baseline observed/expected (O/E) of 0.97 in 2021 to 0.74 in 2023 (-23.4%; 4,186 fewer deaths, p < 0.001). Controlling for baseline (2021) mortality O/E ratios, the mean mortality O/E ratio for 2023 was 0.74 for system and 0.84 for peers, representing a difference of -0.10 (p < 0.001, 95% confidence interval [CI] 0.12 - -0.07], with 1,807 fewer deaths). The standardized infection ratio declined for central line-associated blood stream infections by 24.8% (0.58; 88 fewer events), catheter-associated urinary tract infections by 30.6% (0.44; 98 fewer events), HO methicillin-resistant Staphylococcus aureus bacteremia by 29.0% (0.72; 67 fewer events), and HO Clostridioides difficile infection by 35.1% (0.36; 311 fewer events) in 2023 compared to 2021. HO AKI episodes dropped by 6.2% (8.6%; 1,725 fewer events), and patient-days with hypoglycemia and severe hyperglycemia decreased by 5.8% (4.0%; 4,840 fewer events) and 22.8% (5.2%; 30,065 fewer events), respectively.

This systemwide initiative focusing on standardizing processes, feedback on performance, and accountability was associated with sustainable improvements in mortality and a reduction in infectious and safety events.

Coronavirus Disease 2019, caused by severe acute respiratory coronavirus 2, has been an ever-evolving disease and pandemic, profoundly impacting clinical care, drug treatments, and understanding. In response to this global health crisis, there has been an unprecedented increase in research exploring new and repurposed drugs and advancing available clinical interventions and treatments. Given the widespread interest in this topic, this review aims to provide a current summary-for interested professionals not specializing in COVID-19-of the clinical characteristics, recommended treatments, vaccines, prevention strategies, and epidemiology of COVID-19. The review also offers a historical perspective on the pandemic to enhance understanding.

Real-world COVID-19 vaccine effectiveness (VE) studies are investigating exposures of increasing complexity accounting for time since vaccination. These studies require methods that adjust for the confounding that arises when morbidities and demographics are associated with vaccination and the risk of outcome events. Methods based on propensity scores (PS) are well-suited to this when the exposure is dichotomous, but present challenges when the exposure is multinomial.

This simulation study aimed to investigate alternative methods to adjust for confounding in VE studies that have a test-negative design.

Adjustment for a disease risk score (DRS) is compared with multivariable logistic regression. Both stratification on the DRS and direct covariate adjustment of the DRS are examined. Multivariable logistic regression with all the covariates and with a limited subset of key covariates is considered. The performance of VE estimators is evaluated across a multinomial vaccination exposure in simulated datasets.

Bias in VE estimates from multivariable models ranged from -5.3% to 6.1% across 4 levels of vaccination. Standard errors of VE estimates were unbiased, and 95% coverage probabilities were attained in most scenarios. The lowest coverage in the multivariable scenarios was 93.7% (95% CI 92.2%-95.2%) and occurred in the multivariable model with key covariates, while the highest coverage in the multivariable scenarios was 95.3% (95% CI 94.0%-96.6%) and occurred in the multivariable model with all covariates. Bias in VE estimates from DRS-adjusted models was low, ranging from -2.2% to 4.2%. However, the DRS-adjusted models underestimated the standard errors of VE estimates, with coverage sometimes below the 95% level. The lowest coverage in the DRS scenarios was 87.8% (95% CI 85.8%-89.8%) and occurred in the direct adjustment for the DRS model. The highest coverage in the DRS scenarios was 94.8% (95% CI 93.4%-96.2%) and occurred in the model that stratified on DRS. Although variation in the performance of VE estimates occurred across modeling strategies, variation in performance was also present across exposure groups.

Overall, models using a DRS to adjust for confounding performed adequately but not as well as the multivariable models that adjusted for covariates individually.

Coronavirus disease (COVID-19) quickly spread around the world after its initial identification in Wuhan, China in 2019 and became a global public health crisis. COVID-19 related hospitalizations and deaths as important disease outcomes have been investigated by many studies while less attention has been given to the relationship between these two outcomes at a public health unit level. In this study, we aim to establish the relationship of counts of deaths and hospitalizations caused by COVID-19 over time across 34 public health units in Ontario, Canada, taking demographic, geographic, socio-economic, and vaccination variables into account.

We analyzed daily data of the 34 health units in Ontario between March 1, 2020 and June 30, 2022. Associations between numbers of COVID-19 related deaths and hospitalizations were explored over three subperiods according to the availability of vaccines and the dominance of the Omicron variant in Ontario. A generalized additive model (GAM) was fit in each subperiod. Heterogeneity across public health units was formulated via a random intercept in each of the models.

Mean daily COVID-19 deaths increased quickly as daily hospitalizations increased, particularly when daily hospitalizations were less than 20. In all the subperiods, mean daily deaths of a public health unit was significantly associated with its population size and the proportion of confirmed cases in subjects over 60 years old. The proportion of fully vaccinated (2 doses of primary series) people in the 60 + age group was a significant factor after the availability of the COVID-19 vaccines. The deprivation index, a measure of poverty, had a significantly positive effect on COVID-19 mortality after the dominance of the Omicron variant in Ontario. Quantification of these effects was provided, including effects related to public health units.

The differences in COVID-19 mortality across health units decreased over time, after adjustment for other covariates. In the last subperiod when most public health protections were released and the Omicron variant dominated, the least advantaged group might suffer higher COVID-19 mortality. Interventions such as paid sick days and cleaner indoor air should be made available to counter lifting of health protections.

To improve medical care and rehabilitation algorithms for patients affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is important to evaluate and summarize the available data on the effect of coronavirus infection (COVID-19) on the endocrine system. The purpose of this review was to study the effect of COVID-19 on the endocrine system. The scientific novelty of this study is the evaluation of the effect of coronavirus infection on the endocrine system and the potential effect of hormones on susceptibility to COVID-19. The results of this review show that the endocrine system is vulnerable to disorders caused by COVID-19, mainly thyroid dysfunction and hyperglycemia. The information in the published literature mentioned here contains some unclear aspects and contradictory data, but much remains to be studied and clarified regarding the impact of COVID-19 on the endocrine system. In particular, this concerns the study of the hyperglycemic status of patients who have had coronavirus infection, which is extremely important for the future metabolic health of COVID-19 survivors. This review contributes to the scientific discourse by systematically synthesizing disparate studies to identify patterns, gaps, and emerging trends in the literature concerning the effects of COVID-19 on the endocrine system. By integrating these findings, this study offers a novel perspective on potential hormonal interactions influencing COVID-19 susceptibility and outcomes, proposing new hypotheses and frameworks for future research.

Vaccination represents a core preventive strategy for public health, with interrelated and multifaceted effects across health and socioeconomic domains. Beyond immediate disease prevention, immunization positively influences downstream health outcomes by mitigating complications of preexisting comorbidities and promoting healthy aging. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza virus, and respiratory syncytial virus (RSV) are common respiratory viruses responsible for broad societal cost and substantial morbidity and mortality, particularly among at-risk individuals, including older adults and people with frailty or certain comorbid conditions. In this narrative review, we summarize the overall impact of vaccination for these 3 viruses, focusing on mRNA vaccines, each of which exhibits unique patterns of infection, risk, and transmission dynamics, but collectively represent a target for preventive strategies. Vaccines for COVID-19 (caused by SARS-CoV-2) and influenza are effective against the most severe outcomes, such as hospitalization and death; these vaccines represent the most potent and cost-effective interventions for the protection of population and individual health against COVID-19 and influenza, particularly for older adults and those with comorbid conditions. Based on promising results of efficacy for the prevention of RSV-associated lower respiratory tract disease, the first RSV vaccines were approved in 2023. Immunization strategies should account for various factors leading to poor uptake, including vaccine hesitancy, socioeconomic barriers to access, cultural beliefs, and lack of knowledge of vaccines and disease states. Coadministration of vaccines and combination vaccines, such as multicomponent mRNA vaccines, offer potential advantages in logistics and delivery, thus improving uptake and reducing barriers to adoption of new vaccines. The success of the mRNA vaccine platform was powerfully demonstrated during the COVID-19 pandemic; these and other new approaches show promise as a means to overcome existing challenges in vaccine development and to sustain protection against viral changes over time.A graphical abstract and video abstract is available with this article.

COVID-19 vaccination has become a pivotal global strategy in managing the pandemic. Despite COVID-19 no longer being classified as a Public Health Emergency of International Concern, the virus continues affecting people worldwide. This study aimed to evaluate risk factors and vaccine effectiveness on COVID-19-related hospital admissions, intensive care unit (ICU) admission and mortality within the Andalusian population throughout the pandemic.

From March 2020 to April 2022, 671,229 individuals, out of 9,283,485 with electronic health records in Andalusia, experienced SARS-CoV-2 infection and were included in the analysis. Data on demographics, medical history, vaccine administration, and hospitalization records were collected. Associations between medical history, COVID-19 vaccines, and COVID-19 outcomes were assessed.

Our study identified 48,196 hospital admissions, 5,057 ICU admissions, and 11,289 deaths linked to COVID-19. Age, male sex, and chronic diseases were identified as risk factors, while the COVID-19 vaccine demonstrated protective effects, although with reduced effectiveness during the omicron variant period. However, the risk for these outcomes increased over time after receiving the last vaccine dose, particularly after six months, especially among those aged 60 or older.

The global health challenge of COVID-19 persists, marked by emerging variants with higher virulence and severity, particularly among the unvaccinated and those beyond six months post-vaccination, especially those aged 60 and above. These findings highlight the need for robust surveillance systems targeting new variants and administering booster doses, particularly for individuals aged 60 or older with underlying health conditions, to mitigate the global burden of COVID-19.

Older adults are at higher risk of severe outcomes from COVID-19 with comorbidities increasing such risk. Much less is known about the outcomes of young adults with COVID-19 despite their having had high infection rates.

Our objective was to determine outcomes of hospitalized young adults with COVID-19 infection including rates of oxygen use, mortality, ICU admission, intubation, duration of hospitalization, and factors associated with adverse outcomes.

This retrospective cohort study included EHR data from 21 health systems in the United States on 18-29-year-olds hospitalized with COVID-19 from March 1, 2020 - January 31, 2022. Oxygen need was used to identify symptomatic COVID-19. Rates for mortality, ICU admission, and intubation were calculated for the symptomatic and asymptomatic groups. Effects of demographic and health characteristics on outcomes were assessed as were changes in hospital outcomes over time.

Our sample included 9871 young adults hospitalized with COVID-19; 35% required oxygen. Of those who required oxygen, 53.5% were female, 23.7% had an anxiety disorder, 2.6% died (n = 89), 27.7% were admitted to the ICU (n = 955), and 15.8% were intubated (n = 547). A past-year history of any cancer was associated with a 2.1 times increased odds of death. Vaccination was associated with a >40% reduction in the odds of ICU admission. Mortality rates did not change significantly across the study period.

COVID-19 caused significant morbidity and mortality in hospitalized young adults who required oxygen. A cancer history was associated with increased risk of death. Vaccination appeared to have had a protective effect on illness severity.

Background: Several studies have examined INR fluctuations using pharmacokinetic (PK) models or post-hoc INR values after completing nirmatrelvir/ritonavir, but further study of the effects of the drug interaction with warfarin during treatment is necessary. Case Summary: Nirmatrelvir/ritonavir is largely utilized in the outpatient setting so data regarding INR trends in hospitalized patients on warfarin is limited. However, many who receive nirmatrelvir/ritonavir outpatient experience difficulty with presenting to clinic for INR checks due to feeling acutely ill along with isolation precautions. We present the case of a patient receiving warfarin and utilizing home INR testing for monitoring. After diagnosis of coronavirus disease of 2019 (COVID-19), she was started on nirmatrelvir/ritonavir on day five after testing positive. Most recent INR prior to the start of therapy was 2.7 and had been stable on the same dose for months prior to infection. On day two of nirmatrelvir/ritonavir, her INR rose to 4.0 on home point of care INR testing. Despite reducing her dose of warfarin by 15%, her INR remained supratherapeutic the day after completing nirmatrelvir/ritonavir (4.0) and for several checks after. One month after completion of therapy, her INR returned to therapeutic levels. Practice Implications: While PK models and case series have hypothesized both potential increases or decreases in INR with the nirmatrelvir/ritonavir and warfarin interaction, COVID-19 infection itself can cause several pharmacodynamic changes which can increase INR, including decreased appetite and, in severe cases, organ dysfunction. This case provides real-world insight into the drug interaction between nirmatrelvir/ritonavir and the drug-disease state interaction between warfarin and COVID-19.

The impact of antibiotics in patients with positive polymerase chain reaction (PCR) for respiratory viruses without evidence of a respiratory bacterial co-infection is largely unknown. The aim of this study was to assess the association of antibiotics on 30-day mortality and length of hospital stay in patients with an acute respiratory infection and PCR documented presence of respiratory viruses.

We conducted a retrospective cohort study of adult patients admitted to hospital between 2012 and 2021 with positive PCR for influenza virus (H3N2, H1N1, influenza B), respiratory syncytial virus, human metapneumovirus or severe acute respiratory syndrome coronavirus 2. We used logistic regression, the Kaplan-Meier estimator and Poisson's regression to assess the impact of antibiotic therapy on outcomes.

Among 3979 patients, 67.7% received antibiotics. In adjusted analyses, antibiotics initiated in the emergency department (adjusted OR 1.23, 95% CI 0.77-1.96) and days of antibiotic therapy (adjusted OR per day of therapy 0.98, 95% CI 0.95-1.00) had no significant impact on mortality, whereas antibiotics initiated later during admission (adjusted OR 2.25, 95% CI 1.26-4.02) was associated with increased mortality. Patients prescribed antibiotics had longer duration of hospital admission.

We observed no protective association between in-hospital antibiotic therapy and outcomes, suggesting overuse of antibiotics in respiratory infections with proven respiratory viruses. A restrictive antibiotic strategy may be warranted.

There are limited data from sub-Saharan Africa describing the demographic characteristics, clinical features and outcome of patients admitted to public hospitals with severe acute respiratory infections during the COVID-19 pandemic.

We conducted a prospective longitudinal hospital-based sentinel surveillance between May 2020 and December 2022 at 16 public hospitals in Kenya. All patients aged above 18 years admitted to adult medical wards in the participating hospitals were included. We collected data on demographic and clinical characteristics, SARS-CoV-2 infection and COVID-19 vaccination status and, admission episode outcomes. We determined COVID-19 vaccine effectiveness (VE) against admission with SARS-CoV-2 positive severe acute respiratory illness (SARI) (i.e., COVID-19) and progression to inpatient mortality among patients admitted with SARI, using a test-negative case control design.

Of the 52,636 patients included in the study, 17,950 (34.1%) were admitted with SARI. The median age was 50 years. Patients were equally distributed across sexes. Pneumonia was the most common diagnosis at discharge. Hypertension, Human Immunodeficiency Virus (HIV) infection and Diabetes Mellitus were the most common chronic comorbidities. SARS-CoV-2 test results were positive in 2,364 (27.9%) of the 8,471 patients that underwent testing. After adjusting for age, sex and presence of a chronic comorbidity, SARI patients were more likely to progress to inpatient mortality compared to non-SARI patients regardless of their SARS-CoV-2 infection status (adjusted odds ratio (aOR) for SARI and SARS-CoV-2 negative patients 1.22, 95% CI 1.10-1.37; and aOR for SARI and SARS-CoV-2 positive patients 1.32, 95% CI 1.24-1.40). After adjusting for age, sex and presence of a chronic comorbidity, COVID-19 VE against progression to inpatient mortality following admission with SARI for those with a confirmed vaccination status was 0.59 (95% CI 0.27-0.77).

We have provided a comprehensive description of the demographic and clinical pattern of admissions with SARI in Kenyan hospitals during the COVID-19 pandemic period as well as the COVID-19 VE for these patients. These data were useful in providing situational awareness during the first three years of the pandemic in Kenya and informing national response measures.

The aim of this study was to describe the characteristics of patients admitted to the intensive care unit with severe pneumonia due to SARS-CoV-2, comparing them according to successive waves, and to identify prognostic factors for morbidity and mortality.

This single-center retrospective observational descriptive study was conducted from March 10, 2020, to October 17, 2021. All adult patients admitted with SARS-CoV-2 pneumonia presenting acute respiratory failure were included. COVID 19 diagnosis was confirmed by RT-PCR testing of respiratory specimens. The primary endpoint was ICU mortality. Secondary endpoints were the occurrence of ventilator-associated pneumonia (VAP) or bronchopulmonary aspergillosis.

Over the study period, 437 patients were included of whom 282 (65%) patients were ventilated for 9 [5;20] days. Among the studied population, 38% were treated for one or more episodes of VAP, and 22 (5%) for bronchopulmonary aspergillosis. ICU mortality was 26% in the first wave, then fell and stabilized at around 10% in subsequent waves (p = 0.02). Increased age, Charlson index, SOFA score and lactatemia on admission were predictive of mortality. Survival at 90 days was 85% (95% CI 82-88) and was unaffected by the presence of VAP. However, the occurrence of bronchopulmonary aspergillosis increased mortality to 36%.

In this study, we observed mortality in the lower range of those previously reported. Risk factors for mortality mainly included age and previous comorbidities. The prognosis of these critically ill Covid 19 patients improved over the four waves, underlining the likely beneficial effect of vaccination and dexamethasone.

The objective of the present study is twofold: to describe the prevalence and incidence of pressure ulcers (PUs) among ICU patients during the COVID-19 pandemic, and to identify the risk factors associated with the development of PUs in this cohort of ICU patients.

Retrospective cohort study of adult critical care patients admitted in two general ICUs of two different countries (Sweden and Portugal) between March 1st, 2020, and April 30th, 2021, through the analysis of the electronic health record database. The prevalence and incidence were calculated, and a multivariate logistic-regression model was used to calculate odds ratios (ORs), of possible risk factors of PU development.

The sample consisted of 1717 patients. The overall prevalence of PU was 15.3 %, and the incidence of ICU-acquired PUs was 14.1 %. Most of the pressure ulcers documented in this study were at the anterior part of the body (45.35 %) and regarding classification, Category 2 (38.40 %) and Category 3 (22.71 %) pressure ulcers together accounted for over fifty percent of the cases recorded. In the multivariate logistic regression model for PU, age, having COVID-19 (OR = 1.58, 95 % CI: 1.20-2.09), use of mechanical ventilation (OR = 1.49, 95 % CI: 1.13 = 1.97), use of vasopressors (OR = 1.31, 95 % CI: 1.00-1.70), having a Braden risk score ≤16 at admission (OR = 1.63; 95 % CI: 1.04-2.56), and length of stay (LOS) (OR = 1.43, 95 % CI 1.03-2.00 if LOS 90-260 h, OR = 2.34, 95 % CI: 1.63-3.35 if LOS >260 h) were associated with the likelihood of developing an ICU-acquired PUs.

When adjusted for covariates patients with COVID-19 had a higher risk for PU development during the ICU stay compared to patients without COVID-19. Health care personnel in ICU may consider incorporating COVID-19, age, use of mechanical ventilation, vasopressors and estimated LOS in addition to a comprehensive risk assessment including both a risk score and clinical assessment.

The aim of this study was to estimate the effectiveness of original and bivalent COVID-19 vaccines in reducing COVID-19-associated hospitalizations among the adult population of Turin, Italy.

We conducted a retrospective, test-negative, case-control study of 5768 adults aged ≥50 years who had symptoms that were consistent with COVID-19-like illness and were admitted to the hospitals of the Turin Health Unit network from 1 January 2021 to 31 January 2023. We evaluated the effectiveness of the vaccines that at the time of the study were authorized in the European Union (original/bivalent BNT162b2; original mRNA-1273; ChAdOx1-S; Ad26.COV2.S) by comparing the odds of a positive test for SARS-CoV-2 in vaccinated patients with the odds of a positive test in unvaccinated patients. The association between vaccination status, hospitalization, ICU admission and positive SARS-CoV-2 test was estimated by building multivariate adjusted logistic regression models.

During the predominance of the pre-Omicron variants, the vaccine effectiveness of two and three doses received in the last 120 days against COVID-19-associated hospitalizations was 93.6% (95% CI: 90.1 to 95.9) and 97.1% (95% CI: 90.8 to 99.1), respectively. During the predominance of the Omicron variant, the vaccine effectiveness of two and three doses was 26.6% (95% CI: -0.6 to 46.5) and 75.2% (95% CI: 68.1 to 80.7), respectively, and it rose to 88% (95% CI: 78.2 to 93.3) for four or five doses of the bivalent vaccine.

Our study confirms that the COVID-19 vaccines protect adult patients from hospitalizations, including the subgroup ≥80 years, also during the period of the Omicron variant's predominance.

This retrospective cohort study evaluated the relative vaccine effectiveness (rVE) of two bivalent (original/Omicron BA.4/BA.5) vaccines mRNA-1273.222 versus the BNT162b2 Bivalent in preventing COVID-19-related outcomes in adults with underlying medical conditions associated with increased risk for severe COVID-19.

In a linked electronic health record/claims dataset, US adults (≥18 years) with ≥1 underlying medical condition of interest who received either the bivalent vaccine between 31 August 2022 and 28 February 2023 were identified. The inverse probability of treatment weighting was used to adjust for cohort differences. Cohorts were followed up for COVID-19-related hospitalizations and outpatient encounters until 31 May 2023. Hazard ratios and rVEs were estimated using Cox regression. Subgroup analyses were performed on individuals with pre-specified comorbid conditions.

757,572 mRNA-1273.222 and 1,204,975 BNT162b2 Bivalent recipients were identified. The adjusted rVE over a median follow-up of 198 days was 10.9% (6.2%-15.2%) against COVID-19-related hospitalization and 3.2% (1.7%-4.7%) against COVID-19-related outpatient encounters. rVE estimates for COVID-19 hospitalizations among subgroups with comorbid conditions were as follows: diabetes 15.1% (8.7%-21.0%), cerebro- and cardiovascular disease 14.7% (9.0%-20.1%), chronic lung disease 11.9% (5.1%-18.2%), immunocompromised 15.0% (7.2%-22.2%), chronic kidney disease 8.4% (0.5%-15.7%).

Overall, among adults with underlying medical conditions, mRNA-1273.222 was more effective than BNT162b2 Bivalent, especially in preventing COVID-19-related hospitalizations.

The Brighton Collaboration Benefit-Risk Assessment of VAccines by TechnolOgy (BRAVATO) Working Group evaluates the safety and other key features of new platform technology vaccines, including nucleic acid (RNA and DNA) vaccines. This manuscript uses the BRAVATO template to report the key considerations for a benefit-risk assessment of the coronavirus disease 2019 (COVID-19) mRNA-based vaccine BNT162b2 (Comirnaty®, or Pfizer-BioNTech COVID-19 vaccine) including the subsequent Original/Omicron BA.1, Original/Omicron BA.4-5 and Omicron XBB.1.5 variant-adapted vaccines developed by BioNTech and Pfizer to protect against COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Initial Emergency Use Authorizations or conditional Marketing Authorizations for the original BNT162b2 vaccine were granted based upon a favorable benefit-risk assessment taking into account clinical safety, immunogenicity, and efficacy data, which was subsequently reconfirmed for younger age groups, and by real world evidence data. In addition, the favorable benefit-risk assessment was maintained for the bivalent vaccines, developed against newly arising SARS-CoV-2 variants, with accumulating clinical trial data.

COVID-19 pandemic has highlighted the role of aerosol transmission and the importance of superspreading events. We analyzed a choir rehearsal in November 2020, where all participants, except one who had recently earlier recovered from COVID-19, were infected. We explore the risk factors for severe disease in this event and model the aerosol dispersion in the rehearsal room.

Characteristics of participants were collected by interviews and supplemented with patient records. A computational simulation of aerosol distribution in the rehearsal room and the efficacy of potential safety measures was conducted using the Large-Eddy Simulation approach. Infection risk was studied by analyzing quanta emission and exposure with the Wells-Riley equation.

The simulation showed that airborne transmission likely explains this mass contagion event. Every singer was exposed to the virus in only 5 min from the beginning of the rehearsal, and maximum concentration levels were reached at 20 min the concentration levels started to approach a steady state after 20 min. Although concentration differences existed in the room, risk levels near (1 m) and far (5 m) from the aerosol source were similar for certain singers. Modeling indicated infection risk levels of 70-100% after one hour; the risk would have been considerably reduced by wearing high-filtration respirators. Age and pre-existing comorbidities predicted more severe disease. The high incidence of illness may be partly attributed to the relatively high median age of individuals. Additionally, those admitted to the hospital had multiple underlying health conditions that predispose them to more severe disease.

Airborne transmission and indoor space can explain this mass exposure event. High-filtration respirators could have prevented some infections. The importance of safety distances diminishes the longer the indoor event. The concept of safety distance is challenging, as our study suggests that long range airborne transmission may occur in indoor events with extended duration. We encourage informing the public, especially persons at risk, of safety measures during epidemics.

Severe COVID-19 can result in long-term sequelae known as "chronic COVID," characterized by a wide range of persistent physical and mental symptoms. Chest imaging and pulmonary function test alterations have been observed in recovered patients. Most studies focus on up to a 3-month follow-up after symptom onset or hospital discharge, with few reports on long-term follow-up and limited evidence regarding disease progression in Latin America.

This study aims to describe the clinical characteristics and changes in pulmonary function, imaging, and quality of life in severe and critical COVID-19 patients requiring ICU admission in a high-complexity hospital in Latin America. A prospective cohort of survivors underwent clinical, radiological, pulmonary function, and quality of life assessments 6 and 12 months post-discharge.

One hundred twelve patients were included, all of whom attended the 6-month follow-up, and 99 returned for the 12-month follow-up. Most subjects had no previous respiratory symptoms or significant medical history. At the end of the follow-up period, 74% of the patients showed interstitial infiltrates in chest tomography and a higher frequency of fibroatelectatic tracts and parenchymal bands. Pulmonary function tests returned to normal ranges, except for carbon monoxide diffusion, but no altered scores were reported in the questionnaires.

Despite residual radiological findings, most parameters studied in severe and critical COVID-19 survivors improved over the 12-month follow-up period. Regardless of the imaging abnormalities, the improvement in variables such as symptomatic relief and normal pulmonary function suggests that these alterations are transient. Carbon monoxide diffusion did not normalize by the end of the follow-up, which is consistent with the abnormalities reported in multiple studies, indicating a potential disease-related pattern.

The treatment of COVID-19 patients, especially high-risk patients, remains a large challenge. Glucocorticoids have been accepted as effective medicines for severe COVID-19. However, the glucocorticoid usage guidelines do not cover all the indications for high-risk patients.

To identify more effective treatments for high-risk patients with COVID-19, this retrospective study analyzed routine epidemiological, clinical, and laboratory data from 33 high-risk patients with COVID-19 in Beijing Gobroad Boren Hospital, Beijing, China, most of whom responded well to treatment.

Severe acute respiratory syndrome coronavirus-2 infection was confirmed via real-time reverse transcriptase polymerase chain reaction assays. Outcome measures such as duration of mechanical ventilation, intensive care unit length of stay, and 28-day mortality were analyzed. Patients were divided into two groups: mild to moderate COVID-19 (n = 26) and severe COVID-19 (n = 7). Chest computed tomography images were used to guide methylprednisolone administration or withdrawal.

Upon intensive care unit admission, 12.1% of patients were mechanically ventilated with an average partial pressure of oxygen/fraction of inspired oxygen(PaO2/FiO2) ratio of 279 ± 146. No coinfections with other endemic viruses were observed. The duration of mechanical ventilation was 16 days (interquartile range: 8-28); the intensive care unit length of stay was 11 (interquartile range: 2-33) days; and the 28-day total mortality was 3.0%.

Multivariate regression analysis revealed that low-dose, timely methylprednisolone administration was associated with a lower severe COVID-19 rate and mortality in high-risk patients. For high-risk patients, once there are ground-glass opacities (GGO) in the computed tomography image, continuous and low-dose methylprednisolone administration promotes inflammation remission and protects them from severe COVID-19 or mortality.

We assessed chronic liver disease (CLD)-related mortality in the U.S. using death data (2011-2021) obtained from National Vital Statistics System (NVSS). The average annual percentage change (AAPC) from the models selected by Joinpoint regression analysis over the pre-pandemic (2011-2019) and the 2019-2021 were reported because non-linear trend in death rates were observed over the 2011-2021. Liver-specific death was defined as an underlying cause of death and Chronic liver disease (CLD)-related death was defined as any cause of death. During the pre-pandemic, age-standardized HCC- and cirrhosis-specific death rates were annually increased by AAPC = +1.18% (95% confidence interval, 0.34% to 2.03%) and AAPC = +1.95% (1.56% to 2.35%). In contrast, during the 2019-2021, the AAPC in age-standardized cirrhosis-specific death rate (per 100,000) accelerated by up to AAPC +11.25% (15.23 in 2019 to 18.86 in 2021) whereas that in age-standardized HCC-specific death rate slowed to -0.39 (-1.32% to 0.54%) (3.86 in 2019 to 3.84 in 2021). Compared to HCC-specific deaths, cirrhosis-specific deaths were more likely to be non-Hispanic white (72.4% vs. 62.0%) and non-Hispanic American Indian and Alaska native (AIAN) (2.2% vs. 1.1%) and have NAFLD (45.3% vs. 12.5%) and ALD (27.6% vs. 22.0%). During the 2019-2021, the age-standardized HCV- and HBV-related death rate stabilized, whereas the age-standardized NAFLD- and ALD-related deaths rate increased to 20.16 in 2021 (AAPC = +12.13% [7.76% to 16.68%]) and to 14.95 in 2021 (AAPC = +18.30% [13.76% to 23.03%]), which were in contrast to much smaller incremental increases during the pre-pandemic (AAPC = +1.82% [1.29% to 2.35%] and AAPC = +4.54% [3.97% to 5.11%]), respectively). The most pronounced rise in the age-standardized NAFLD-related death rates during the pandemic was observed among AIAN (AAPC = +25.38%), followed by non-Hispanic White female (AAPC = +14.28%), whereas the age-standardized ALD-related death rates during the pandemic were highest among AIAN (AAPC = +40.65%), followed by non-Hispanic Black female (AAPC = +26.79%).

COVID-19 pandemic had a major negative impact on cirrhosis-specific and CLD-related mortality in the U.S. with significant racial and gender disparities.

Serial blood and mucosal samples were characterized for 102 participants enrolled a median of 7.0 days after coronavirus disease 2019 diagnosis. Mucosal RNA was detectable for a median of 31.5 (95% confidence interval [CI], 20.5-63.5) days, with persistence ≥1 month associated with obesity (body mass index [BMI] ≥30 kg/m2; odds ratio [OR], 3.9 [95% CI, 1.2-13.8]) but not age, sex, or chronic conditions. Fifteen participants had likely reinfection; lower serum anti-spike IgG levels were associated with reinfection risk. Nearly half of participants (47%) reported symptoms lasting ≥2-3 months; persistence ≥3 months was associated with BMI ≥30 kg/m2 (OR, 4.2 [95% CI, 1.1-12.8]) and peak anti-spike and anti-nucleocapsid antibody levels.

Aim: To reveal factors affecting 2-year mortality in geriatric patients hospitalized with COVID-19.Methods: Demographic characteristics, clinical and laboratory data, thorax computed tomography (CT) images, second-year survival status, and causes of death were analyzed.Results: The 2-year post-discharge mortality rate of 605 patients was 21.9%. Mean age of patients in the deceased group was 76.8 ± 8.1 years, which was shorter than the life expectancy at birth in Türkiye. Older age (≥85), delirium, some co-morbidities, and atypical thorax CT involvement were associated with a significant increase in 2-year mortality (p < 0.05).Conclusion: This is the first study to evaluate factors associated with 2-year mortality in older COVID-19 patients. Identifying risk factors for long-term mortality in geriatric COVID-19 patients is important.