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World J Crit Care Med. Dec 9, 2025; 14(4): 111059
Published online Dec 9, 2025. doi: 10.5492/wjccm.v14.i4.111059
Effect of music therapy on outcomes of critically ill patients
Sabiha Mukhtar, Piyush Shishir, Department of Anaesthesiology and Critical Care, Era University, Lucknow 226003, Uttar Pradesh, India
Mohd Mustahsin, Madhulika Dubey, Critical Care Unit, Department of Anaesthesiology and Critical Care, Era University, Lucknow 226003, Uttar Pradesh, India
Syed Ahmed Hussain Kazmi, Department of Critical Care Medicine, Era University, Lucknow 226003, Uttar Pradesh, India
ORCID number: Mohd Mustahsin (0000-0003-2503-1906).
Author contributions: Mukhtar S collected the patient’s data; Mustahsin M designed the study, analyzed the data, wrote and revised the paper; Dubey M and Kazmi SAH verified the paper for important intellectual content; Shishir P performed the statistical analysis; all of the authors read and approved the final version of the manuscript to be published.
Institutional review board statement: This study was approved by the Institutional Ethical Committee of Era’s Lucknow Medical College and Hospital, Lucknow (No. ELMC&H/R-Cell/2023/38).
Clinical trial registration statement: This study was registered at Clinical Trial Registry-India, No. CTRI/2024/10/074774.
Informed consent statement: All study participants, or their legal guardian, provided written informed consent before enrollment in this study.
Conflict-of-interest statement: The authors declare no conflicts of interest.
CONSORT 2010 statement: The authors have read the CONSORT 2010 Statement, and the manuscript was prepared and revised according to the CONSORT 2010 Statement.
Data sharing statement: There are no additional data to share.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Mohd Mustahsin, DM, MD, Associate Professor, Head, Critical Care Unit, Department of Anaesthesiology and Critical Care, Era University, FFF-2, Doctor’s Residence, Hardoi Road, Sarfarazganj, Lucknow 226003, Uttar Pradesh, India. mustahsin.malik@gmail.com
Received: June 24, 2025
Revised: July 28, 2025
Accepted: November 4, 2025
Published online: December 9, 2025
Processing time: 159 Days and 22.7 Hours

Abstract
BACKGROUND

Intensive care units (ICUs) are stressful milieus for patients, particularly when under mechanical ventilation. Music is a non-pharmacological intervention that has shown a positive impact on physiological and psychological parameters in patients on mechanical ventilation.

AIM

To evaluate outcome of music therapy on patients who are critically ill to note the effect on ICU stays.

METHODS

One-hundred-and-thirty-six adult patients with acute respiratory failure requiring mechanical ventilation for 48 hours or more were randomized into the music therapy or routine care (control) groups. Patients were assessed for weaning criteria before music therapy was given. If eligible, a 30-minute music therapy was given prior to the extubation. Vital parameters were recorded at 5-minute intervals of therapy. Visual Analog Scale (VAS)-Dyspnea and VAS-Anxiety (VAS-A) were assessed before and after therapy. Richmond Agitation-Sedation Scale and Numerical Rating Scale scoring were conducted.

RESULTS

The difference in times of ventilator support in the music therapy intervention group (58.22 ± 14.90 hours) and the control group (56.88 ± 13.10 hours) was not statistically significant. ICU length of stay was significantly lower in the music therapy group (4.97 ± 1.70 days vs control group: 5.70 ± 1.74 days). ICU mortality was significantly lower in the music therapy group as compared with the control group (7.4% vs 19.1%; P = 0.043). At 0 minute the VAS-A scores of the music therapy (6.82 ± 1.36) and control group (7.07 ± 1.07) were comparable. During the remainder of the observation period, the VAS score of the music therapy group was significantly lower than that of the control group.

CONCLUSION

Music therapy is an inexpensive non-pharmacological intervention for patients in the ICU. However, future multicenter studies are warranted before routinely using music therapy in patients in the ICU.

Key Words: Critically ill patients; Music therapy; Intensive care unit length of stay; Mortality; Non-pharmacological intervention; Anxiety

Core Tip: Patients who are critically ill on mechanical ventilation are under stress and anxiety that can lead to increased intensive care unit (ICU) stay lengths and poor outcomes. Music therapy is a non-pharmacological intervention that has shown a positive impact on physiological and psychological parameters in patients on mechanical ventilation. The current study determined the effect of music therapy for patients who were critically ill on outcomes including the length of the ICU stay.



INTRODUCTION

Intensive care units (ICUs) are stressful milieus for patients, particularly when under mechanical ventilation. Anxiety can cause harmful effects on the course of recovery and overall well-being of patients[1]. This may prolong weaning and recovery time. Music is a non-pharmacological intervention that has a positive impact on physiological and psychological parameters in patients on mechanical ventilation[2]. Music promotes relaxation via biological mechanisms that include a reduction in blood cortisol[3]. Music intervention can relieve pain and anxiety and increase comfort in patients admitted to an ICU[4]. Listening to music consistently reduces respiratory rate (RR) and systolic blood pressure (BP) and has an anxiety-reducing effect for patients on mechanical ventilation.

Continuous high doses of sedative medications can cause severe long-term psychological damage such as continued anxiety, depression, and paranoid delusions after ICU discharge[5]. Neurological impairment from sedatives can necessitate reintubation and negatively impact the weaning process[6]. Continuous sedation is a major risk factor for extubation failure. Integrative therapies such as music in addition to sedative and analgesic medications can synergistically enhance comfort and relaxation during mechanical ventilation[7]. Most patients who are critically ill on mechanical ventilation have impaired consciousness and are subject to a high degree of psychological and physical stress. Therefore, these patients may be positively impacted in their clinical course and outcome in the ICU after music therapy. Limited studies have been carried out determining the effect of music therapy on patients who are critically ill on mechanical ventilation. Hence, the present study aimed to determine the impact of music on outcomes in patients who are critically ill on mechanical ventilation.

MATERIALS AND METHODS

This randomized control trial was conducted in the Division of Critical Care Medicine in the Department of Anaesthesiology at Era’s Lucknow Medical College and Hospital, Lucknow (India). The study took place over 18 months and recruited patients who were critically ill and requiring mechanical ventilation. Ethical clearance was obtained from the Institutional Ethical Committee of Era’s Lucknow Medical College and Hospital, Lucknow registration No. ELMC&H/R-Cell/2023/38. The study was started after registering the trial on Clinical Trial Registry-India (CTRI/2024/10/074774).

After obtaining written informed consent from patient attendants, the patients were randomly allocated using the sequentially numbered opaque sealed envelope method into two groups: (1) The experimental (music therapy) group; and (2) The conventional care (control) group. The experimental group received 30 minutes of music therapy in addition to conventional care. Only routine care was provided to the conventional group. The study subjects comprised patients from 18-60 years of age that were admitted to the ICU and were on a ventilator for at least 48 hours or more. Patients under conscious sedation and able to listen to music via headphones were included. Patients with a hearing deficit, history of chronic pain, metastasis cancer, seizures or status epilepticus, evidence of delirium, dementia, or psychiatric diagnosis were excluded. Patients requiring more than two vasopressors or on narcotic medication were also excluded.

Attendants were informed of the benefits and risks of the study. Written and informed consent was taken. A questionnaire for choice of music was completed by the attendant to choose the patient’s music. The patient was assessed for weaning criteria before the music therapy was given. If eligible, 30 minutes of music therapy was given prior to the extubation. Vital parameters were recorded at every 5 minutes during the therapy. Visual Analog Scale (VAS)-Dyspnea (VAS-D) and VAS-Anxiety (VAS-A) were assessed before and after the therapy. Richmond Agitation-Sedation Scale (RAAS) and Numerical Rating Scale (NRS) scoring was conducted as well.

Sample size calculation

The sample size was calculated at the Department of Social and Preventive Medicine, Era’s Lucknow Medical College and Hospital using the formula (Bernard R): n = (σ1² + σ2²/κ) × (Z1-α/2 + Z1-β)²/Δ².

Where n: Sample size, σ: Standard deviation, ∆: Difference of means, κ: Ratio, Z1-α/2: Two-sided Z value, and Z1-β: Power. Considering 90% power with 99% confidence intervals (two-sided), the sample size was 124. Considering 10% non-response rate (attrition bias), the total sample size was 136 (68 in each group).

Statistical analysis

The data were collected and stored in Statistical Package for the Social Sciences 25.0 software (IBM Corp, Armonk, NY, United States) for statistical analysis using the χ2 test, Student’s t-test, and multiple regression analysis. P < 0.05 was statistically significant.

RESULTS

Out of 182 patients who were assessed for eligibility, 136 were randomly allocated into the music therapy group or the control group (Figure 1).

Figure 1
Figure 1 Flow chart of the study. ITT: Intention to treat.
Baseline demographic characteristics

The mean age of the music therapy group (52.43 ± 10.37 years) was slightly higher than that of the control group (50.59 ± 11.54 years) (Table 1). There was a slight predominance of males (n = 74; 54.4%) in the overall study population as well as in the music therapy (55.9%) and the control (52.9%) groups. The sex ratio of the music therapy group and the control group did not show any significant difference (Table 1).

Table 1 Demographic profile of the music therapy and control group, n (%).
Characteristic
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Mean age (years) (mean ± SD)52.43 ± 10.3750.59 ± 11.54t = 0.977; P = 0.330
Sex
Male38 (55.9)36 (52.9)χ² = 0.119; P = 0.731
Female30 (44.1)32 (47.1)
Religion
Hindu23 (33.8)17 (25.0)χ² = 1.275; P = 0.259
Muslim45 (66.2)51 (75.0)
Socioeconomic status
Lower8 (11.8)8 (11.8)χ² = 1.014; P = 0.798
Upper lower1 (1.5)0 (0)
Lower middle35 (51.5)36 (52.9)
Upper middle24 (35.3)24 (35.3)
Mean Acute Physiology and Chronic Health Evaluation II (mean ± SD)19.24 ± 2.3619.49 ± 2.43t = 0.608; P = 0.544

Out of the 136 patients enrolled in the study, only 40 (29.4%) were Hindu while 96 (70.6%) were Muslims. The predominance of Muslims was observed in both the music therapy group (66.2%) and the control group (75.0%) (Table 1). The majority of the patients belonged to the lower-middle to upper-middle socioeconomic classes (n = 119; 87.5%), and the remaining patients belonged to the lower or upper-lower class. The differences in socioeconomic status of the music therapy group and the control group did not reach statistical significance (Table 1).

A multiple regression was conducted to adjust for potential confounders like baseline characteristics [age, body mass index (BMI), sex], known comorbidities, and history of chronic illness. Overall, the regression was non-significant [F (3, 26) = 13.31, P = 0.934, R2 = 0.10]. Of the predicators investigated, age [β = 0.05, t (130) = 0.592, P = 0.55], BMI [β = 0.027, t (130) = 0.296, P = 0.76], sex [β = 0.028, t (130) = 0.294, P = 0.77], known comorbidities [β = 0.024, t (130) = 0.250, P = 0.80], and history of chronic illness [β = 0.044, t (130) = 0.452, P = 0.652] were non-significant.

Outcome measures

The difference in ventilator time for the music therapy group (58.22 ± 14.90 hours) and the control group (56.88 ± 13.10 hours) was not statistically significant (Table 2). The ICU stay for the control group (5.70 ± 1.74 days) was significantly longer than that of the music therapy group (4.97 ± 1.70 days).

Table 2 Comparison of cumulative ventilator time and cumulative intensive care unit stay.
Outcome
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Mean
SD
Mean
SD
t value
P value
Ventilator time (hours)58.2214.9056.8813.100.5280.598
Intensive care unit stay (days)4.971.705.700.74-2.2990.023

During music therapy the vitals of the patients were recorded every 5 minutes. The difference in the heart rate of the two groups was not statistically significant at any period of the observation. The heart rate of the music therapy group was at its maximum at 0 minute (95.69 ± 15.52 bpm) and at its minimum at 25 minutes (93.10 ± 15.32 bpm). The heart rate of the control group was at its maximum at 0 minute (97.43 ± 20.19 bpm) and at its minimum at 25 minutes (96.34 ± 2.21 bpm) (Table 3, Figure 2A).

Figure 2
Figure 2 Comparison. A: Comparison of heart rate in the music therapy group and the control group during the intervention; B: Comparison of systolic blood pressure (BP) in the music therapy group and the control group during the intervention; C: Comparison of diastolic BP in the music therapy group and the control group during the intervention; D: Comparison of respiratory rate in the music therapy group and the control group during the intervention; E: Comparison of Visual Analog Scale-Anxiety scores in the music therapy group and the control group during the intervention; F: Comparison of mortality in the music therapy group and the control group during the intervention. BP: Blood pressure; Cases: Musical therapy group; Controls: Conventional care group; VAS: Visual Analog Scale.
Table 3 Comparison of heart rates in the music therapy group and the control group during the intervention.
Time (minutes)
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Mean
SD
Mean
SD
t value
P value
095.6915.5297.4320.19-0.5620.575
594.2414.9596.9319.76-0.8960.372
1094.1514.9496.7819.61-0.8800.380
1593.4015.3496.4719.92-1.0080.315
2093.5716.0996.5320.11-0.9460.346
2593.1015.3296.3420.21-1.0520.295
3093.1315.9196.4020.46-1.0390.301

Systolic BP of the two groups was comparable at all periods of observation. The range of the systolic BP of the music therapy group was 121.53 ± 17.66 mmHg (25 minutes) to 124.85 ± 18.96 mmHg. The range of the systolic BP of the control group was 118.69 ± 13.91 mmHg (10 minutes) to 124.32 ± 13.04 mmHg (Table 4, Figure 2B). Diastolic BP of the two groups was comparable at all periods of observation. The diastolic BP of the music therapy group ranged between 72.25 ± 10.34 mmHg (25 minutes) and 74.44 ± 12.98 mmHg (0 minute). The diastolic BP of the control group ranged from 70.51 ± 7.89 mmHg (10 minutes) to 73.76 ± 9.39 mmHg (0 minute) (Table 5, Figure 2C).

Table 4 Comparison of systolic blood pressure in the music therapy group and the control group during the intervention.
Time (minutes)
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Mean
SD
Mean
SD
t value
P value
0124.5417.28124.2513.110.1120.911
5124.8518.96124.3213.040.1900.850
10123.7418.84118.6913.911.7760.078
15123.0717.90120.5015.420.8980.371
20123.3117.68119.7413.431.3270.187
25121.5317.66120.7613.290.2850.776
30122.4117.85119.4314.591.0680.287
Table 5 Comparison of diastolic blood pressure in the music therapy group and the control group during the intervention.
Time (minutes)
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Mean
SD
Mean
SD
t value
P value
074.4412.9873.769.390.3480.728
574.3210.8872.387.821.1950.234
1072.4710.9370.517.891.1960.234
1572.9710.6671.877.240.7060.481
2073.0910.6070.536.621.6880.094
2572.2510.3470.657.031.0570.292
3073.9310.1972.158.911.0850.280

Oxygen saturation levels of all the patients were maintained above 95%. At 0 minute the oxygen saturation of the two groups was comparable (97.72% ± 1.79% vs 96.40% ± 2.41%). During the remainder of the observation, the oxygen saturation level of the music therapy group was significantly higher than that of the control group. The range of oxygen saturation in the music therapy group varied between 97.66% ± 1.59% (15 minutes) and 97.85% ± 1.78%, while that of the control group ranged between 95.78 ± 2.91 (10 minutes) to 96.01% ± 2.59% (30 minutes) (Table 6).

Table 6 Comparison of oxygen saturation in the music therapy group and the control group during the intervention.
Time (minutes)
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Confidence interval
Mean
SD
Mean
SD
t value
P value
097.721.7996.402.411.5720.1180.05-0.06
597.711.8095.852.894.488< 0.0010.00-0.02
1097.821.7895.782.914.942< 0.0010.00-0.02
1597.661.5995.872.714.703< 0.0010.00-0.02
2097.711.8395.902.554.758< 0.0010.00-0.02
2597.851.7895.902.605.113< 0.0010.00-0.02
3097.821.7096.012.594.808< 0.0010.00-0.02

Before therapy, the difference in the RR of the music therapy group (27.84 ± 3.11 per minute) and the control group (28.06 ± 2.07 per minute) was comparable. During the remainder of the observation, the RR of the music therapy group was significantly lower than that of the control group (Table 7, Figure 2D). Body temperature was comparable at all periods of observation in both groups (Table 8).

Table 7 Comparison of respiratory in the music therapy group and the control group during the intervention.
Time (minutes)
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Confidence interval
Mean
SD
Mean
SD
t value
P value
027.843.1128.062.07-0.5030.6160.000-0.022
526.663.1128.152.24-3.1930.0020.000-0.022
1026.573.1428.152.24-3.3600.0010.000-0.022
1526.382.8728.072.13-3.905< 0.0010.000-0.022
2026.092.7028.062.15-4.711< 0.0010.000-0.022
2525.602.5328.062.07-6.195< 0.0010.000-0.022
3025.412.5327.902.09-6.240< 0.0010.000-0.022
Table 8 Comparison of body temperature in the music therapy group and the control group during the intervention.
Time (minutes)
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Mean
SD
Mean
SD
t value
P value
098.590.8798.410.931.1290.261
598.530.8198.350.881.2170.226
1098.530.8198.350.881.2170.226
1598.510.8298.350.881.0920.277
2098.510.8298.350.881.0920.277
2598.510.8298.340.841.2210.224
3098.510.8298.340.841.2210.224

The VAS-A scores of the music therapy group (6.82 ± 1.36) and the control group (7.07 ± 1.07) were comparable before the intervention. The VAS-A score of the music therapy group was significantly lower than that of the control group at all other observation timepoints (Table 9, Figure 2E). The VAS-D scores of the music therapy group (4.76 ± 1.09) and the control group (4.76 ± 0.90) were comparable before the intervention. No significant difference was observed between the two groups at 5 minutes and 10 minutes, although the scores were lower in the music therapy group. During the remainder of the observation period, the VAS-D score of the music therapy group was significantly lower than that of the control group (Table 10).

Table 9 Comparison of Visual Analog Scale-Anxiety scores in the music therapy group and the control group during the intervention.
Time (minutes)
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Confidence interval
Mean
SD
Mean
SD
t value
P value
06.821.367.071.07-1.1920.2350.000-0.022
55.961.577.241.08-5.539< 0.0010.000-0.022
105.211.596.741.32-6.101< 0.0010.000-0.022
154.881.456.251.30-5.794< 0.0010.000-0.022
204.491.636.061.49-5.876< 0.0010.000-0.022
253.821.605.561.34-6.847< 0.0010.000-0.022
303.341.565.291.21-8.166< 0.0010.000-0.022
Table 10 Comparison of Visual Analog Scale-Dyspnea scores in the music therapy group and the control group during the intervention.
Time (minutes)Music therapy group (n = 68)
Control group (n = 68)
Statistics
Mean
SD
Mean
SD
t value
P value
04.761.094.760.90< 0.0011.000
54.711.084.750.90-0.2580.797
104.240.984.540.87-1.9430.054
153.511.004.180.85-4.168< 0.001
203.090.913.740.70-4.637< 0.001
252.940.883.600.83-4.511< 0.001
302.491.003.540.90-6.474< 0.001

At the 0-minute and 5-minute intervals, the NRS scores of the music therapy group (3.56 ± 0.82) and control group (3.75 ± 0.66) were comparable. During the remainder of the observation period, the NRS score of the music therapy group was significantly lower than that of the control group (Table 11). Before the intervention, the RAAS scores of the music therapy group (-3.19 ± 0.53) and the control group (-3.38 ± 0.73) were comparable. During the remainder of the observation period, the RAAS score of the music therapy group was significantly lower than that of the control group (Table 12). The mortality rate of the control group was significantly higher than that of the music therapy group (Table 13, Figure 2F).

Table 11 Comparison of Numerical Rating Scale scores in the music therapy group and the control group during the intervention.
Time (minutes)
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Confidence interval
Mean
SD
Mean
SD
t value
P value
03.560.823.750.66-1.5050.1350.075-0.189
53.560.823.750.66-1.5050.1350.046-0.145
103.010.633.650.69-5.580< 0.0010.046-0.145
152.540.683.650.69-9.425< 0.0010.046-0.145
202.240.603.460.84-9.771< 0.0010.046-0.145
252.060.773.150.72-8.522< 0.0010.046-0.145
301.750.662.820.77-8.747< 0.0010.046-0.145
Table 12 Comparison of Richmond Agitation-Sedation Scale scores in the music therapy group and the control group during the intervention.
Time (minutes)
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Confidence interval
Mean
SD
Mean
SD
t value
P value
0-3.190.53-3.380.731.7470.0830.030-0.717
5-2.840.41-3.470.686.573< 0.0010.030-0.717
10-2.590.60-3.240.765.515< 0.0010.030-0.717
15-2.210.56-3.010.747.162< 0.0010.030-0.717
20-1.880.64-3.010.749.551< 0.0010.030-0.717
25-1.440.68-2.711.018.585< 0.0010.030-0.717
30-0.900.85-2.601.0410.487< 0.0010.030-0.717
Table 13 Comparison of mortality in the music therapy group and the control group.
Outcome
Music therapy group (n = 68)
Control group (n = 68)
Statistics
Confidence interval
n
%
n
%
χ² value
P value
Intensive care unit mortality57.41319.14.0980.0430.2293-0.0047
DISCUSSION

The present study was carried out to assess the impact of music on the outcomes of patients who were critically ill. For this purpose, a total of 136 patients who were critically ill on mechanical ventilation were enrolled in the study and were randomized to two groups. A total of 68 patients were allocated to the intervention group and received music therapy in addition to standard ICU care, and the remaining 68 patients were allocated to the control group and received standard ICU care only.

In the present study, the ICU mortality rate was significantly lower in the music therapy group (7.4%) compared with the control group (19.1%). However, there were significant differences between the two groups for the duration of mechanical ventilation and length of ICU stay. After evaluating the literature, we did not find any reports relating music therapy with reduced ICU mortality or ventilator duration.

We used a randomized controlled design for this study. Randomized controlled studies are the hallmark of clinical research and provide the most robust clinical evidence to differentiate the efficacy between two or more drugs/interventions[8]. In clinical studies (unlike experimental studies), perfect matching between study groups is not possible. Therefore, statistical matching determines that the patient characteristics do not pose a significant confounding effect due to random allocation[9]. Small sample sizes pose a challenge in attaining statistical matching due to random allocation because the patients, particularly those admitted to ICU, are heterogenous in nature. Hence, adequacy of sample size is essential.

We carried out sample size assessment based on a power analysis and maintained an adequate sample size for statistical significance (i.e. 68 patients in each group). A number of earlier studies had group sample sizes of 68 or less, and they did not face any statistical issue in studying the outcomes[10-12]. The adequacy of sample size was also determined by its ability to extend statistical matching of randomly allocated patients in two groups. In the present study, we found that both groups were comparable in this regard, and the adequacy of the sample size could also be tested on this ground.

The mean age of patients in the two groups was 52.43 years and 50.59 years, and the majority of patients in both groups (55.9% and 52.9%) were male. The effect of music therapy on patients who are critically ill has been evaluated in a diversified profile of patients in different age groups including children[13-15]. There are some studies that have been conducted in adults with a mean age of 50-60 years[16,17]. Compared with the present study in which the proportion of males was slightly higher than that of females, Mateu-Capell et al[12] had a clear predominance of males (77.3%). In another study that included patients with head trauma patients, 75% of the patients were males. Mata Ferro et al[18] in their study in the pediatric age group found that 55.2% of patients were males. In another study[19], 82.6% patients were females.

More than 75% of our patients were admitted to the ICU for respiratory reasons. Similarly, Messika et al[20] found that all the patients in their study were acute respiratory failure cases. A diverse profile of patients in the ICU was reported by Raisinghani et al[21] who enrolled patients with sepsis, congestive cardiac failure, acute respiratory distress syndrome, cerebrovascular episodes with complications, and chronic kidney disease with complications. Kobus et al[22] conducted their study among patients with chronic gastroenterological and nephrological diseases. Kakar et al[23] conducted systematic review and meta-analysis in adult critical care and surgical patients. In another study, Johnson et al[24] enrolled patients admitted to a trauma and orthopedic trauma unit. Stress levels in patients with different indications for admission to ICU may vary, and slight variances in the magnitude of stress and the resultant impact of music therapy may be envisaged in the highly diversified profiles of patients admitted to the ICU.

The majority of patients in the music therapy group (60.3%) and the control group (69.1%) had a history of chronic illness. Chronic obstructive pulmonary disease was the most common chronic illness in the music therapy group (23.5%) as well as the control group (30.9%). Statistically, there was no significant difference between the two groups for the profile of chronic illnesses. Kakar et al[25] found a high prevalence of comorbidities like our study. In their study, cardiovascular, gastrointestinal, and neurological chronic illnesses were seen in 61.4%, 22.7%, and 13.6% of patients in the intervention group and 50.0%, 30.0%, and 12.0% of patients in the control group, respectively. Patients in their study also had histories of chronic illnesses like chronic pain and psychiatric illness.

However, Raisinghani et al[21] reported histories of chronic illnesses in only 10% of their intervention group and 15% of their control group. Mata Ferro et al[18] found a history of chronic illness in 37.1% of their patients. In our study, a higher proportion of patients with chronic illnesses was likely due to the high prevalence of patients with chronic obstructive pulmonary disease who were admitted to ICU following acute exacerbations.

Comorbidities like type 2 diabetes and hypertension were seen in 23.5% and 17.6% of patients in the music therapy group, respectively, and 14.7% and 13.2% of patients in the control group, respectively, in our study. Statistically, the two groups were matched for comorbidities. After reviewing the related studies, most did not report a history of comorbidities like diabetes and hypertension.

The mean Acute Physiology and Chronic Health Evaluation (APACHE) II scores were similar in the two groups, reflecting a moderate risk of mortality. Compared with the present study, Raisinghani et al[21] used Glasgow Coma Scale (GCS) scores to assess ICU severity and found them in the normal (> 12) range. However, in the study by Teja Chunduru and Gandhi[26] using GCS scores, the patients were in the moderate- to high-risk category. Kakar et al[25] used APACHE IV scores to evaluate the ICU severity, and they determined that their groups were in the suboptimal risk category. Due to the varying nature of scales and patients, it is difficult to compare patients in different severity categories.

The mean oxygen saturation and RAAS scores were significantly higher and RR was significantly lower in the music therapy group during the intervention. Similarly, after the 10-minute timepoint VAS-A, VAS-D, and NRS scores were lower in the music therapy group. These findings reflected that music intervention significantly impacted oxygen saturation, RR, anxiety, dyspnea, pain, and agitation-sedation.

Although pulse rate and systolic and diastolic BP remained unaffected by music in our study, Kakar et al[23] found music therapy showed significant improvement in sleep quality. In another study, sedation scores were affected positively by music therapy, and the heart beat stabilized. However, other vital parameters including oxygen saturation remained unaffected[13]. These findings are in partial agreement with our study. In a recent study conducted in children, Kobus et al[22] observed improvement in all vital signs including oxygen saturation. However, Golino et al[27] found that music therapy had a significant impact on RAAS scores but did not impact oxygen saturation. In their study in which live music therapy was used, significant reductions in agitation and heart rates were observed but no benefit on other vital parameters was seen.

We observed that music therapy had a significant impact on reducing anxiety, dyspnea, agitation, and pain scores. Thus, music had a significant relaxing impact. These findings are in agreement with a number of other studies reporting the relaxing effect of music therapy on these psychological aspects and pain scores[10,20,21,28]. Studies have indicated that music therapy can serve as a nursing strategy to modulate pain, sedation need, and anxiety in patients in the ICU[29].

Limitations

Single-center design: This study was conducted at a single institution, Era’s Lucknow Medical College and Hospital in Lucknow (India). While randomized, this single-center approach may limit the generalizability of the findings to diverse patient populations and different healthcare settings as acknowledged by the authors’ call for future multicenter studies.

Limited intervention duration: The music therapy intervention consisted of a single 30-minute session administered prior to extubation. This brief, one-time exposure may not fully capture the potential benefits of music therapy as longer or repeated sessions could yield different or more sustained effects on physiological and psychological parameters.

No blinding of groups: In this study, the control group was given standard treatment by the treating clinician. No placebo equivalent like silent headphones was used. This might lead to bias related to psychological attention given to the experimental group.

Variability in music selection: While patient preference for music genre was considered by consulting attendants, the study did not specify or analyze the types/genres of music used. This variability could introduce an uncontrolled factor in the intervention, making it difficult to determine if specific musical characteristics are more effective than others.

CONCLUSION

The study emphasized that music therapy is an inexpensive non-pharmacological intervention suitable for patients who are critically ill in the ICU. This aligns with previous research suggesting the ability of music to promote relaxation by reducing cortisol levels and to relieve pain and anxiety in the ICU. However, the findings of this study are preliminary, and future multicenter studies are warranted before the routine use of music therapy in patients who are critically ill.

Footnotes

Provenance and peer review: Invited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Critical care medicine

Country of origin: India

Peer-review report’s classification

Scientific Quality: Grade B

Novelty: Grade C

Creativity or Innovation: Grade C

Scientific Significance: Grade C

P-Reviewer: Luo XX, PhD, China S-Editor: Luo ML L-Editor: A P-Editor: Xu ZH

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