Background: COVID-19 has been associated with substantial morbidity and mortality worldwide, particularly among hospitalised patients. Evidence regarding real-world treatment patterns, vaccination status and clinical outcomes from eastern India remains limited.
Methods: A prospective, multicentric, observational study was conducted across five government hospitals in eastern India between June 2021 and August 2021. Hospitalised patients with RT-PCR or rapid antigen test confirmed COVID-19 were enrolled. Demographic characteristics, comorbidities, vaccination status, laboratory parameters, medication usage, oxygen supplementation and clinical outcomes were analysed. The study was undertaken as part of a Government of West Bengal initiative to inform state health-policy formulation. Total study duration including analysis and report submission was six months.
Results: Out of 241 recruited patients, 233 (96.68%) were evaluable. Mean age was 54.35 ± 17.19 years. Most patients were unvaccinated (79.40%). Oxygen supplementation was required in 72.96% and systemic corticosteroids were administered in 87.98%. Overall mortality was 6.01%, while 92.70% were discharged. Sepsis and acute kidney injury were significantly associated with mortality, whereas steroid use was associated with improved survival.
Conclusion: Appropriate pharmacotherapy, timely oxygen supplementation and judicious steroid use significantly influenced outcomes among hospitalised COVID-19 patients and provide actionable evidence for health-system preparedness.
Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, emerged as a global public-health emergency with a wide clinical spectrum ranging from mild respiratory illness to severe pneumonia, ARDS, sepsis and death [1–5]. Hospitalised patients contributed disproportionately to morbidity, mortality and healthcare burden [6–8].
During the pandemic, treatment practices evolved rapidly based on emerging evidence, resource availability and regional protocols [9–11]. Oxygen supplementation and systemic corticosteroids became cornerstones of inpatient management in hypoxaemic disease [12–16]. However, real-world data evaluating vaccination status, pharmacotherapy and outcomes from eastern India are limited. This study aimed to generate multicentric evidence to inform clinical practice and state-level health-policy decisions.
MATERIALS AND METHODS
Study Design, Centres and Period
Prospective, multicentric, observational study conducted across five government hospitals in eastern India between June 2021 and August 2021.
Administrative Context and Duration
The study was undertaken as part of a Government of West Bengal–supported initiative to understand treatment patterns and outcomes of hospitalised COVID-19 patients for policy formulation. The total study duration, including data collection, analysis and submission of the final report, was six months.
Study Population
Hospitalised patients of any age and sex with RT-PCR or RAT confirmed COVID-19 were included. Pregnant/lactating women and patients with pre-existing critical illnesses likely to independently influence outcomes were excluded.
Recruitment and Data Collection
Patients were enrolled over a defined 10-day recruitment period at each centre. Data were collected using structured case-record forms from medical records and patients were followed until discharge or death.
Ethics Approval
Approved by the Institutional Ethics Committees of all participating centres and the Department of Health and Family Welfare, Government of West Bengal (Approval No. RKC/461, dated 29 May 2021).
Statistical Analysis
Analysis was performed using SPSS v20. Continuous variables were expressed as mean ± SD or median (IQR); categorical variables as frequencies and percentages. p < 0.05 was considered statistically significant.
RESULTS
Baseline Characteristics
A total of 233 patients were analysed. Sex distribution was retained as per the original dataset. Hypertension (39.91%) and diabetes mellitus (24.03%) were the most common comorbidities.
Table 1. Baseline demographic and clinical characteristics
|
Variable |
Value |
|
Age (years), mean ± SD |
54.35 ± 17.19 |
|
Female gender, n (%) |
131 (56.22) |
|
Male gender, n (%) |
93 (39.91) |
|
Hospital stay (days), mean ± SD |
11.18 ± 6.92 |
|
Unvaccinated, n (%) |
185 (79.40) |
|
Symptomatic at admission, n (%) |
216 (92.70) |
|
RT-PCR confirmed cases, n (%) |
197 (84.55) |
|
Hypertension, n (%) |
93 (39.91) |
|
Diabetes mellitus, n (%) |
56 (24.03) |
Clinical Features and Complications
Fever, cough and breathlessness were common presenting symptoms. Pneumonia (42.92%) and ARDS (36.05%) were the most frequent complications.
Table 2. Distribution of comorbidities
|
Parameter |
n (%) |
|
Required oxygen during hospital stay |
170 (72.96) |
|
Oxygen via nasal cannula |
101 (45.06) |
|
Oxygen via face mask |
97 (41.63) |
|
Oxygen via NRBM |
64 (27.47) |
|
Oxygen via HFNC |
2 (0.86) |
|
Received corticosteroids |
205 (87.98) |
|
Proning performed |
116 (49.79) |
|
IV fluids administered |
224 (96.14) |
|
Discharged alive |
216 (92.70) |
|
In-hospital mortality |
14 (6.01) |
Table 3. Symptoms and complications
|
Parameter |
Admission (Mean ± SD) |
During Stay (Mean ± SD) |
p value |
|
Platelet count (×10³/cmm) |
217.43 ± 111.92 |
256.12 ± 138.44 |
0.013 |
|
CRP (mg/L) |
40.58 ± 59.26 |
20.18 ± 28.53 |
<0.001 |
|
D-dimer (ng/mL) |
63.81 ± 215.34 |
112.38 ± 282.88 |
0.038 |
|
Ferritin (mg/L) |
645.43 ± 837.00 |
439.88 ± 521.03 |
0.002 |
|
IL-6 (pg/mL) |
104.01 ± 135.82 |
8.39 ± 9.85 |
<0.001 |
|
Pro-calcitonin (ng/mL) |
0.18 ± 0.13 |
0.07 ± 0.04 |
<0.001 |
|
RBG-FBG (mg/dL) |
197.95 ± 143.71 |
101.25 ± 9.25 |
<0.001 |
Laboratory Parameters
Inflammatory and coagulation markers (CRP, D-dimer, ferritin, IL-6, procalcitonin) showed significant derangements during hospital stay.
Table 4. Biochemical and haematological parameters
|
Variable |
Survivors (n=219) |
Expired (n=14) |
p value |
|
Sepsis, n (%) |
3 (1.37) |
3 (21.43) |
0.003 |
|
Acute kidney injury, n (%) |
2 (0.91) |
2 (14.29) |
0.019 |
|
TLC (cells/cmm), mean ± SD |
9608.98 ± 5454.20 |
14118.36 ± 6343.63 |
0.008 |
|
Platelet count (×10³/cmm), mean ± SD |
222.25 ± 112.46 |
142.55 ± 71.97 |
0.038 |
|
D-dimer (ng/mL), mean ± SD |
63.41 ± 218.03 |
72.64 ± 158.02 |
0.002 |
|
Doxycycline use during hospitalization, n (%) |
160 (73.06) |
6 (42.86) |
0.028 |
|
Ivermectin use during hospitalization, n (%) |
151 (68.95) |
5 (35.71) |
0.017 |
|
Steroid use, n (%) |
178 (81.28) |
11 (78.57) |
0.732 |
Treatment Patterns
Doxycycline, ivermectin and heparin were commonly prescribed. Systemic corticosteroids were used in 87.98% of patients.
Clinical Outcomes
Overall mortality was 6.01%, while 92.70% of patients were discharged. Oxygen supplementation was required in 72.96%. Sepsis and acute kidney injury were significantly associated with mortality.
FIGURES
Figure 1: Treatment interventions among hospitalised COVID-19 patients
Figure 2: Vaccination status of the study population
Figure 3: In-hospital clinical outcomes
DISCUSSION
This multicentric observational study provides robust real-world evidence on treatment patterns and outcomes among hospitalised COVID-19 patients in eastern India. The observed mortality of 6.01% was lower than early pandemic reports [6–8], likely reflecting improved supportive care, oxygen availability and adherence to evidence-based therapy.
The association of corticosteroid use with improved survival aligns with global evidence supporting their use in hypoxaemic COVID-19 [14–16]. Conversely, sepsis and acute kidney injury emerged as strong predictors of mortality, emphasising the need for early recognition and aggressive management. The high proportion of unvaccinated patients highlights the protective role of vaccination in reducing disease severity and hospitalisation.
Recommendations (Policy-Relevant)
CONCLUSION
Treatment patterns, vaccination status and key clinical parameters significantly influenced outcomes among hospitalised COVID-19 patients. Evidence from this multicentric study supports rational pharmacotherapy, timely oxygen supplementation and steroid use to reduce mortality and informs health-system policy and preparedness.
Funding: Nil.
Conflict of Interest: None declared.
Data Availability:Data are available from the corresponding author upon reasonable request.
REFERENCES