Shoura SJ, Teaima T, Sana MK, Abbasi A, Atluri R, Yilmaz M, Hammo H, Ali L, Kanitsoraphan C, Park DY, Alyousef T. Outcomes in patients with COVID-19 and new onset heart blocks: Insight from the National Inpatient Sample database. World J Cardiol 2023; 15(9): 448-461 [PMID: 37900263 DOI: 10.4330/wjc.v15.i9.448]
Corresponding Author of This Article
Tareq Alyousef, MD, Director, Department of Cardiology, John H. Stroger Jr. Hospital of Cook County, 1901 W. Harrison St. Suite 3642, Chicago, IL 60612, United States. talyousef@cookcountyhhs.org
Research Domain of This Article
Cardiac & Cardiovascular Systems
Article-Type of This Article
Observational Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Cardiol. Sep 26, 2023; 15(9): 448-461 Published online Sep 26, 2023. doi: 10.4330/wjc.v15.i9.448
Table 1 Baseline demographics and comorbid condition rate of patients admitted for coronavirus disease 2019 pneumonia with and without high degree atrioventricular block without a pacemaker, n (%)
Study group
Control group
P value
High degree atrioventricular block (n = 3210/0.4%)
No high degree atrioventricular block (n = 1058815/99.6%)
Age (year), mean
72
64
< 0.001
Gender
< 0.001
Female
1075 (33.5)
498545 (47.2)
Male
(66.5)
(52.7)
Ethnicity
0.0359
White
1862 (58)
550584 (52)
Black
578 (18)
201175 (19)
Hispanic
482 (15)
211763 (21)
Other
225 (7)
84705 (8)
Chronic kidney disease
1084 (33)
205000 (19)
< 0.001
Hypertension
1030 (32)
437190 (41)
< 0.001
Congestive heart failure
1095 (34)
162930 (15)
< 0.001
Government insured
2555 (82)
673794 (67)
< 0.001
Private insured
480 (15)
292190 (29)
< 0.001
Self-pay
80 (2.6)
35875 (3.6)
0.1828
Poor socioeconomic status
550 (17)
168015 (16)
Hospital region
0.0144
Northeast
550 (17)
186650 (17.6)
Midwest
925 (29)
245190 (23.2)
South
1225 (38)
441800 (42)
West
510 (16)
181964 (17.2)
Hospital bed size
0.0286
Small
770 (24)
270620 (25.6)
Medium
810 (25.2)
304920 (29)
Large
1630 (50.8)
480065 (45.4)
Charlson index
< 0.001
0
385 (12)
296468 (28)
1
642 (20)
296468 (28)
2
578 (18)
169410 (16)
3
1605 (50)
296468 (28)
Median household income
0.0418
First quartile
931 (29)
359997 (34)
Second quartile
995 (31)
296468 (28)
Third quartile
738 (23)
232939 (22)
Fourth quartile
546 (17)
169410 (16)
Myocardial infarction
570 (17)
77240 (7)
< 0.001
Peripheral vascular disease
320 (10)
47355 (4.5)
< 0.001
Cerebrovascular disease
185 (5)
42075 (4)
0.0223
Dementia
570 (17)
116035 (11)
< 0.001
Chronic obstructive lung disease
875 (27)
247225 (23.4)
0.0244
Rheumatoid arthritis
65 (2)
30120 (3)
0.2037
Peptic ulcer disease
20 (0.6)
4625 (0.4)
0.4797
Mild liver disease
95 (3)
36275 (3.4)
0.5039
Diabetes mellitus
680 (21)
262850 (25)
0.0311
Diabetic complications
1790 (55)
327870 (30)
< 0.001
Hemiplegia or paraplegia
50 (1.5)
16690 (1.5)
0.9732
Renal disease
2220 (70)
421060 (40)
< 0.001
Cancer
260 (8)
57440 (5.4)
0.0371
Moderate/severe liver disease
45 (1.4)
15855 (1.5)
0.9051
Metastatic cancer
210 (6.5)
49170 (4.6)
0.3633
AIDS
60 (1.9)
13980 (1.3)
0.6272
Table 2 Baseline demographics and comorbid condition rate of patients admitted for coronavirus disease 2019 pneumonia with and without bundle branch block without a pacemaker, n (%)
Study group
Control group
P value
All bundle branch blocks without pacemaker (n = 17365/1.6%)
No bundle branch blocks (n = 1044660/98.4%)
Age (year), mean
72.5
64
< 0.001
Gender
< 0.001
Female
6845 (39.4)
492775 (47.3)
Male
(60.6)
(52.7)
Ethnicity
0.0359
White
10766 (62)
543223 (52)
Black
2431 (14)
198485 (19)
Hispanic
2952 (17)
219378 (21)
Other
1216 (7)
83573 (8)
Chronic kidney disease
5005 (29)
201080 (19)
< 0.001
Hypertension
6390 (37)
431830 (41)
< 0.001
Congestive heart failure
5470 (32)
158555 (15)
< 0.001
Government insured
13360 (79.5)
662990 (67)
< 0.001
Private insured
3065 (18.2)
289605 (29.3)
< 0.001
Self-pay
385 (2.3)
35570 (3.6)
< 0.001
Poor socioeconomic status
3290
165275
Hospital region
< 0.001
Northeast
3885 (22.4)
183315 (17.6)
Midwest
4725 (27.2)
241390 (23.2)
South
6160 (35.4)
436866 (42)
West
2595 (15)
179880 (17.2)
Hospital bed size
0.0025
Small
3900 (22.4)
267490 (25.6)
Medium
5345 (30.8)
300385 (29)
Large
8120 (46.8)
473575 (45.4)
Charlson index
< 0.001
0
2952 (17)
292505 (28)
1
3646 (21)
292505 (28)
2
3299 (19)
147145 (16)
3
7466 (43)
292505 (28)
Median household income
< 0.001
First quartile
5088 (29.3)
355184 (34)
Second quartile
4705 (27.1)
292505 (28)
Third quartile
4202 (24.4)
229825 (22)
Fourth quartile
3334 (19.2)
147145 (16)
Myocardial infarction
3035 (17.5)
74775 (7)
< 0.001
Peripheral vascular disease
1530 (9)
46145 (4.4)
< 0.001
Cerebrovascular disease
1045 (6)
41215 (4)
< 0.001
Dementia
2835 (16)
113770 (11)
< 0.001
Chronic obstructive lung disease
4300 (25)
243800 (23.4)
0.0592
Rheumatoid arthritis
495 (3)
29690 (3)
0.9993
Peptic ulcer disease
60 (0.4)
4585 (0.4)
0.4011
Mild liver disease
670 (3.8)
35700 (3.4)
0.1675
Diabetes mellitus
4005 (23)
259525 (25)
0.0137
Diabetic complications
7420 (43)
322240 (30.8)
< 0.001
Hemiplegia or paraplegia
320 (1.8)
16420 (1.6)
0.3728
Renal disease
10370 (60)
412910 (39.5)
< 0.001
Cancer
970 (5.6)
56730 (5.4)
0.7950
Moderate/Severe liver disease
240 (1.4)
15660 (1.5)
0.7335
Metastatic cancer
840 (4.8)
48540 (4.6)
0.8478
AIDS
210 (1.2)
13830 (1.3)
0.8074
Table 3 A Univariate regression analysis of encounters with coronavirus disease 2019 and with high grade atrioventricular block without pacemakers
High degree atrioventricular block without pacemakers
Adjusted OR
95%CI
P value
Mortality
2.18
1.80-2.64
< 0.001
Cardiac arrest
2.78
2.00-3.86
< 0.001
Atrial fibrillation
2.46
2.10-2.90
< 0.001
Atrial flutter
5.45
4.00-7.42
< 0.001
Ventricular fibrillation
6.33
3.27-12.27
< 0.001
Supraventricular tachycardia
3.39
2.31-4.96
< 0.001
Ventricular tachycardia
4.75
3.05-6.46
< 0.001
Acute kidney injury
1.73
1.47-2.03
< 0.001
Sepsis
1.85
1.44-2.39
< 0.001
Mechanical ventilation
1.72
1.33-2.22
< 0.001
Cardiogenic shock
8.75
5.61-13.63
< 0.001
Table 4 Univariate regression analysis of encounters with coronavirus disease 2019 and with bundle branch block without pacemakers
Right or left bundle branch blocks without pacemaker
Adjusted OR
95%CI
P value
Mortality
1.63
1.42-1.89
< 0.001
Cardiac arrest
1.43
1.04-1.97
0.026
Atrial fibrillation
2.12
1.88-2.40
< 0.001
Atrial flutter
2.32
1.70-3.17
< 0.001
Ventricular fibrillation
2.31
1.11-4.82
0.024
Supraventricular tachycardia
2.22
1.64-2.99
< 0.001
Ventricular tachycardia
4.09
3.24-5.14
< 0.001
Acute kidney injury
1.71
1.53-1.90
< 0.001
Sepsis
1.81
1.52-2.26
< 0.001
Mechanical ventilation
1.67
1.38-2.23
< 0.001
Cardiogenic shock
3.29
2.04-5.31
< 0.001
Table 5 Univariate regression analysis demonstrating absolute value of outcomes of interest in encounters with coronavirus disease 2019 and with high grade atrioventricular block or bundle branch blocks without pacemakers, n (%)
In-hospital outcomes Rates
High degree atrioventricular block (n = 3210)
All bundle branch blocks without pacemaker (n = 17365)
Mortality
665 (21.3)
2952 (17.0)
Cardiac arrest
175 (5.6)
504 (2.9)
Atrial fibrillation
172 (5.5)
799 (4.6)
Atrial flutter
209 (6.7)
538 (3.1)
Ventricular fibrillation
44 (1.4)
87 (0.5)
Supraventricular tachycardia
150 (4.8)
555 (3.2)
Ventricular Tachycardia
222 (7.1)
799 (4.6)
Sepsis
365 (11.6)
1233 (7.1)
Mechanical ventilation
324 (10.4)
1528 (8.8)
Cardiogenic shock
103 (3.3)
174 (1.0)
Pulmonary embolism
106 (3.4)
521 (3.0)
Acute kidney injury
1298 (41.6)
5956 (34.3)
Cerebrovascular accidents
50 (1.6)
191 (1.1)
Citation: Shoura SJ, Teaima T, Sana MK, Abbasi A, Atluri R, Yilmaz M, Hammo H, Ali L, Kanitsoraphan C, Park DY, Alyousef T. Outcomes in patients with COVID-19 and new onset heart blocks: Insight from the National Inpatient Sample database. World J Cardiol 2023; 15(9): 448-461