Mohammad Anarul Islam1, Sanjana Asma2, Muhammad Salah Uddin3, S M Sadlee4, Mohammad Shukur Ali5, Mohammad Zaforullah Chowdhury6
1Consultant, Department of Respiratory Medicine, National Health Service (NHS), London, UK.
2Faculty of Health Science, Department of Public Health of the University of Sunderland, London, UK.
3Associate Professor, Department of Neurology, Chittagong Medical College, Chattogram, Bangladesh
4Associate Consultant, Stroke Centre, United Hospital Limited, Dhaka, Bangladesh.
5Professor, Department of English, University of Development Alternative (UODA), Dhaka, Bangladesh.
6Principal, East West Medical College, Uttara, Dhaka, Bangladesh.
*Corresponding author: Dr. Md. Anarul Islam, Consultant, Department of Respiratory Medicine, National Health Service (NHS), London, UK
Received: 29 July 2024; Accepted: 31 July 2024; Published: 19 August 2024
Introduction: The initial case of coronavirus disease (COVID-19), triggered by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified in December 2019. The disease swiftly spread, infecting millions globally and significantly challenging healthcare systems. As per the World Health Organization, approximately 5% of COVID-19 patients who are severely or critically ill require intensive care unit (ICU) admission.
Objective: This study aimed to evaluate the treatment outcomes of sick critically COVID-19-positive patients admitted to the ICU at a COVID-19 referral hospital.
Method: A descriptive, retrospective study was conducted in the Department of Respiratory Medicine, in collaboration with the Department of Virology and the COVID unit at Anwer Khan Modern Medical College Hospital, Dhanmondi, Dhaka, Bangladesh, from December 2023 to May 2024.
Results: Among the 100 critically ill COVID-19-positive patients, the most common age group was 54-68 years, with a mean age of 59.83±13.07 years and a median age of 58. The majority of the patients were male (70%). The most frequent comorbidities were diabetes (60%) and hypertension (44%). The predominant clinical presentations included shortness of breath (75%) and fever (66%). The mean levels of CRP, D-dimer, WBC, and ferritin were 112.70±76.85 mg/L, 3.16±0.09 ng/L, 21382±14880.12 cells/uL, and 1402.46±921.46 ng/L, respectively. The study observed a low mortality rate (7%) and a high survival rate (93%) among critically ill COVID-19-positive patients in the ICU. The majority of deaths (6%) occurred in the age group over 69 years, with males being predominant (5%).
Conclusion: This study found a low mortality rate (7%) and a high survival rate (93%) among critically ill COVID-19-positive patients in the ICU. Hence, the national guidelines of Bangladesh and the World Health Organization (WHO) guidelines for the clinical management of critically ill COVID-19 patients were effective standards for managing such cases in Bangladesh.
Outcomes, critically ill, COVID-19, positive cases, intensive care unit (ICU)
Outcomes articles, critically ill articles, COVID-19 articles, positive cases articles, intensive care unit (ICU) articles
The first coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified in December 2019. The virus rapidly spread, leading to millions of infections worldwide and posing a major challenge for healthcare systems [1]. Common symptoms observed in COVID-19 patients encompass fever, dry cough, fatigue, headache, vomiting, diarrhea, difficulty breathing, muscle pain, acute respiratory distress syndrome (ARDS), and shock [2]. Research indicates that those requiring intensive care are typically older, mostly male, with around 40% having underlying health issues including diabetes, heart diseases, hypertension, asthma, and chronic conditions such as liver or kidney disease [3, 4]. While numerous COVID-19 cases are mild or asymptomatic, a considerable portion progress to moderate or severe pneumonia necessitating ICU admission [5]. The surge in COVID-19 hospitalizations overwhelmed emergency departments and ICUs, leaving many countries unable to supply sufficient beds and ventilators for patients experiencing acute respiratory distress [6]. Although there are numerous reports on critically ill patients [7-9], there remains limited understanding of the clinical trajectory, outcomes, and interventions among ICU admissions. Due to variations in study design, patient population, and geographic locations, ICU admission rates vary widely from 4.0% to 32% [10, 11], and mortality rates from 0.7% to 52.4% in COVID-19 positive cases [12]. Patients with severe COVID-19 often present with multiorgan failure, necessitating life-sustaining interventions [13]. The global COVID-19 pandemic has placed significant strain on healthcare systems worldwide, particularly in Bangladesh, which faces unique challenges including high population density and limited healthcare infrastructure. Despite World Health Organization reports indicating that approximately 5% of severe COVID-19 cases require ICU care, Bangladesh has one of the lowest ICU bed capacities per 10,000 residents [14] This situation highlights the need to understand how the healthcare system, with its limited resources, is managing critically ill COVID-19 patients. Health and governmental authorities need to comprehend the clinical characteristics and results of severely ill COVID-19 patients to anticipate the demand for ICU resources and plan for future COVID-19 waves in Bangladesh. Thus, this study aimed to assess the treatment outcomes of critically ill patients with COVID-19 admitted to an ICU at a designated COVID-19 hospital.
This retrospective descriptive type of study was conducted at the Department of Respiratory Medicine, in collaboration with the Department of Virology and the COVID Unit at Anwer Khan Modern Medical College Hospital, Dhanmondi, Dhaka, Bangladesh, from December 2023 to May 2024. Formal approval was obtained from the hospital registrar. Using a purposive consecutive sampling technique, 100 confirmed COVID-19 positive critically ill patients, regardless of age and sex, treated in the ICU following the clinical management guidelines set by the World Health Organization (WHO) and the Bangladesh National Guidelines for Clinical Management of COVID-19 Positive Cases-2020 [14, 15], were included in this study. Data were collected from the hospital registry and case report files using a pre-structured questionnaire and a Case Record Form (CRF). The data collected underwent processing, refinement, and entry into a computerized system for analysis. Statistical analysis utilized the Statistical Package for the Social Sciences (SPSS) software, version 23.0.
Inclusion criteria:
Exclusion criteria:
Table-1: Baseline characteristics of critically ill COVID-19 positive cases (n=100).
|
Age in years |
Frequency |
Percent |
|
<38 |
2 |
2 |
|
39-53 |
31 |
31 |
|
54-68 |
47 |
47 |
|
69-83 |
12 |
12 |
|
84-105 |
8 |
8 |
|
Total |
100 |
100 |
|
Mean age(years) |
59.83±13.07 |
|
|
Median |
58 |
|
|
Mode |
62 |
|
|
Range |
38-105 |
|
|
Sex distribution |
||
|
Male |
70 |
70 |
|
Female |
30 |
30 |
|
Total |
100 |
100 |
|
Residence distribution |
||
|
Urban |
87 |
|
|
Rural |
13 |
|
|
Total |
100 |
100 |
|
Socio-economic condition |
||
|
Upper class |
85 |
85 |
|
Middle class |
10 |
10 |
|
Lower class |
5 |
5 |
|
Total |
100 |
100 |
Table 1 presents the baseline characteristics of the study subjects. The majority of patients, 47 (47%), were in the 54–68-year age group, followed by 31 (31%) in the 39–53-year range, 12 (12%) in the 69–83-year range, 8 (8%) in the 84-105 year range, and 2 (3%) under 38 years. The mean age was 59.83±13.07 years, with a median of 58 years, a mode of 62 years, and an age range of 38-108 years. Among the patients, 70 (70%) were male and 30 (30%) were female. Most patients, 87 (87.5%), resided in urban areas, while 13 (13.5%) were from rural areas. Socioeconomically, 85 (85%) patients were from the upper class, 10 (10%) from the middle class, and 5 (5%) from the lower class.
Table 2: Distribution of co-morbidities associated with the study subjects (n=100).
|
Co-morbidities |
Frequency |
Percent |
|
Hypertension(HTN) |
44 |
44 |
|
Diabetes Mellitus(DM) |
60 |
60 |
|
Cardio vascular disease (CVD) |
1 |
1 |
|
Chorionic Kidney Disease(CKD) |
7 |
7 |
|
Hypothyroid |
4 |
4 |
|
Stenting |
1 |
1 |
|
Hypokalamia |
4 |
4 |
|
Chronic obstructive pulmonary disease(COPD) |
6 |
6 |
|
Bronchial Asthma |
13 |
13 |
|
Benign prostatic hyperplasia(BPH) |
3 |
3 |
|
Benign enlargement of the prostate(BEP) |
5 |
5 |
|
Ischemic heart disease (IHD) |
21 |
21 |
|
Non-ST-elevation myocardial infarction(NSTEMI) |
9 |
9 |
Table-2 shows the distribution of associated co-morbidities of the study subjects The most frequent associated comorbidity was observed to be diabetes mellitus(DM) 60 (60%) followed by hypertension (HTN), 44(44%), ischemic heart disease (IHD) 21(21%),bronchial asthma 13(13%),non-ST-elevation myocardial infarction (NSTEMI) 9 (9%),chronic kidney disease (CKD) 7 (7%), chronic obstructive pulmonary disease (COPD) 6 (%6), benign enlargement of the prostate (BEP) 5 (5%) , hypothyroid 4(4%), hypokalemia 4 (4%) , benign prostatic hyperplasia (BPH) 3(3% ) cardio vascular disease (CVD) 1(1%), stenting 1(1%).
Table-3: Clinical presentation of critically ill COVID-19 positive cases (n=100).
|
Clinical Presentation |
Frequency |
Percentage |
|
Cough |
50 |
50 |
|
Fever |
66 |
66 |
|
SOB |
75 |
75 |
|
Acute respiratory distress syndrome |
17 |
17 |
|
Lower respiratory tract infection |
2 |
2 |
|
Chest pain |
2 |
2 |
Table 3 details the clinical presentations of the study subjects. In critically ill COVID-19 positive cases, the most common symptom was shortness of breath (75%), followed by fever (66%), cough (50%), acute respiratory distress (17%), lower respiratory tract infection (2%), and chest pain (2%).
Table 4: Laboratory parameters of critically ill COVID-19 positive cases (n=100).
|
Laboratory parameters |
(Mean± SD) |
Minimum |
Maximum |
|
Systolic BP |
133.11±19.71 |
100 |
200 |
|
Diastolic BP |
81.14±11.59 |
60 |
130 |
|
Hb% |
9.31±5.12 |
6 |
88 |
|
CRP |
112.70±76.85 |
1.4 |
31.3 |
|
D-dimer |
3.16±0.09 |
0.05 |
10.5 |
|
Temperature (°F) |
100.51±1.79 |
98 |
104 |
|
Respiratory Rate |
91.96±18.99 |
51 |
167 |
|
Oxygen Saturation (%) |
92.26±6.03 |
60 |
99 |
|
Creatinine |
1.31±0.71 |
0.7 |
3.41 |
|
PCT |
2.30±2.61 |
0.05 |
10 |
|
WBC |
21382±14880.12 |
1545 |
87651 |
|
LDH |
500.75±189.83 |
102 |
962 |
|
Ferritin |
1402.46±921.46 |
47.3 |
5267 |
|
Na |
147±16.14 |
123 |
193 |
|
K |
3.77±0.94 |
0.7 |
6.9 |
Table-4 shows the distribution of laboratory parameters of the study subjects. The most frequent COVID-19 detective markers were observed to be mean c-reactive protein (CRP) 112.70 mg/L with a standard deviation of 76.85 mg/L ranges from 1.40 mg/L to 31.3 mg/L followed by D-dimer 3.16 ng/mL with a standard deviation of 0.09 ng/mL ranges from 0.05 ng/mL to 10.50 ng/mL, procalcitonin (PCT) 2.30 ng/mL with a standard deviation of 2.61 ng/mL, ranges from 0.05 ng/mL to 10 ng/mL, white blood cell (WBC) 21382 cells/μL with a standard deviation of 14880.12 cells/μL ranges from 1545 cells/μL to 87651 cells/μL, lactate dehydrogenase(LDH) 500.75 U/L with a standard deviation of 189.83 U/L ranges from 102 U/L to 962 U/L and ferritin 1402.46 ng/mL with a standard deviation of 921.46 ng/mL ranges from 47.30 ng/mL to 5267 ng/mL
Table-5: Treatment outcome of critically ill COVID-19 positive cases at ICU (n=100).
|
Treatment outcome |
Frequency |
Percent |
|
Discharge alive |
93 |
93 |
|
Discharge dead |
7 |
7 |
|
Total |
100 |
100 |
Table-5 shows the treatment outcome of COVID-19 positive critical cases in ICU. Among the 100 critical COVID-19 positive cases, 93(93%) were discharged alive, while 7(7%) cases resulted in death during the treatment at ICU.
Table 6: Age and gender distribution of dead cases (n=7).
|
Age(years) |
Frequency |
Percent |
|
<38 |
0 |
0 |
|
39-53 |
0 |
0 |
|
54-68 |
1 |
1 |
|
69-83 |
3 |
3 |
|
84-105 |
3 |
3 |
|
Gender |
||
|
Male |
5 |
5 |
|
Female |
2 |
2 |
Table 6 displays the age and gender distribution of deceased cases among the study subjects. For critically ill COVID-19 positive patients, the highest mortality was observed in the age groups of 69-83 years and 84-105 years, each accounting for 3% of the deaths, followed by the 54–68-year age group with 1%. Male patients had a higher mortality rate, with 5% of the deaths, while female deaths accounted for 2% of the total cases.
This present study observed that the most frequent age group among critically ill COVID-19 positive patients was 54-68 years (47%), with a mean age of 59.83±13.07 years. The majority of these patients were male (70%). Another study found the mean age of critically ill COVID-19 positive patients to be 58.9±13.7 years, with 52.9% being male (n=319), which aligns with the findings of this study [16]. Most ICU patients came from urban areas (87%) and upper socio-economic backgrounds (85%). This may be due to the rapid spread of COVID-19 in densely populated urban areas and among wealthier individuals. We also found that the most common comorbidities among ICU-admitted COVID-19 positive patients were diabetes mellitus (60%), hypertension (44%), ischemic heart disease (21%), bronchial asthma (13%), non-ST-elevation myocardial infarction (9%), chronic kidney disease (7%), chronic obstructive pulmonary disease (6%), benign enlargement of the prostate (5%), hypothyroidism (4%), hypokalemia (4%), benign prostatic hyperplasia (3%), cardiovascular disease (1%), and history of stenting (1%). A study conducted in Malaysia in 2021 reported that the most common comorbidities were hypertension (15.5%) and diabetes (11.0%), which are consistent with this study's findings [16]. In this study, the most prevalent symptoms among critically ill COVID-19 positive patients were shortness of breath (75%), fever (66%), cough (50%), acute respiratory distress (17%), lower respiratory tract infection (2%), and chest pain (2%). Another study conducted at Shaheed Suhrawardy Medical College Hospital, Dhaka, from July 2020 to December 2020, reported that most patients had a fever (95%), cough (88.4%), dyspnea (43.8%),. Additionally, 40% of patients reported digestive symptoms, including diarrhea (47.9%), vomiting (55.5%), loss of appetite (16.5%), abdominal pain (29.8%), abdominal bloating (24.8%), reflux (0%), and jaundice (3.3%), which are partially similar to our study [17]. We found that the mean c-reactive protein (CRP) level was 112.70 mg/L with a standard deviation of 76.85 mg/L, D-dimer was 3.16 ng/mL with a standard deviation of 0.09 ng/mL, procalcitonin (PCT) was 2.30 ng/mL with a standard deviation of 2.61 ng/mL, white blood cell (WBC) count was 21382 cells/μL with a standard deviation of 14880.12 cells/μL, lactate dehydrogenase (LDH) was 500.75 U/L with a standard deviation of 189.83 U/L, and ferritin was 1402.46 ng/mL with a standard deviation of 921.46 ng/mL. These observations are consistent with other studies [18-20]. In this study, 93% of critically ill COVID-19 positive patients survived, while 7% died. Among the deceased, older age and male gender were predominant. These deaths may be attributed to chronic kidney disease, cardiovascular disease, and multiple comorbidities. These findings are consistent with other studies [21-23]. The results of this study are expected to be valuable for clinicians, policymakers, and frontline workers in addressing and managing future waves of COVID-19 in Bangladesh.
This study found a low mortality rate (7%) and a high survival rate (93%) among critically ill COVID-19 positive patients in the ICU. It was observed that the majority of deaths occurred in older patients and males. Consequently, the national guidelines of Bangladesh, along with the World Health Organization (WHO) guidelines for the clinical management of critically ill COVID-19 patients, proved to be effective standards for managing these cases in Bangladesh.
This was conducted at a single center with a limited purposive sample size and a short study duration. Therefore, the findings may not be representative of the entire country.
Future research could expand upon these findings by conducting a multicenter retrospective study with a large sample size and longitudinal data collection.
Self-funding
None declared\