Comparative Clinical Characteristics, Laboratory Findings, and Outcomes of Hypoxemic and Non-Hypoxemic Patients Treated at a Makeshift COVID-19 Unit in Bangladesh: A Retrospective Chart Analysis

Sarmin, Monira; Mahfuz, Mustafa; Shahrin, Lubaba; Shaly, Nusrat Jahan; Shaima, Shamsun Nahar; Shikha, Shamima Sharmin; Jeorge, Didarul Haque; Islam, Shoeb Bin; Chisti, Mohammod Jobayer; Ahmed, Tahmeed

doi:10.3390/jcm11112968

Cited by 4 publications

(1 citation statement)

References 37 publications

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“…We observed in our study, deceased patients had high level of total leucocytes count, neutrophil, CRP, D-Dimer, and low lymphocyte than the survivors. A study done in similar set up in Bangladesh during COVID-19 era, the study team found that the critically ill patients had lymphopenia, high D-Dimer and CRP level than those who are not critically ill [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

Prognostic accuracy of early warning scores for predicting serious illness and in-hospital mortality in patients with COVID-19

Kamal,

Hasan,

Sarmin

et al. 2024

PLOS Glob Public Health

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A simple bedside triage tool is essential to stratify COVID-19 patients in the emergency department (ED). This study aimed to identify an early warning score (EWS) that could best predict the clinical outcomes in COVID-19 patients. Data were obtained from medical records of 219 laboratory-confirmed COVID-19 positive patients. We calculated 13 EWSs based on the admission characteristics of the patients. Receiver operating characteristic (ROC) curve analysis was used to assess the performance of the scores in predicting serious illness and in-hospital mortality. The median patient age was 51 (38, 60) years, and 25 (11.4%) patients died. Among patients admitted with mild to moderate illness (n = 175), 61 (34.9%) developed serious illness. Modified National Early Warning Score (m-NEWS) (AUROC 0.766; 95% CI: 0.693, 0.839) and Rapid Emergency Medicine Score (REMS) (AUROC 0.890; 95% CI: 0.818, 0.962) demonstrated the highest AUROC point estimates in predicting serious illness and in-hospital mortality, respectively. Both m-NEWS and REMS demonstrated good accuracy in predicting both the outcomes. However, no significant difference was found between m-NEWS (p = 0.983) and REMS (p = 0.428) as well as some other EWSs regarding the AUROCs in predicting serious illness and in-hospital mortality. We propose m-NEWS could be used as a triage score to identify COVID-19 patients at risk of disease progression and death especially in resource-poor settings because it has been explicitly developed for risk stratification of COVID-19 patients in some countries like China and Italy. However, this tool needs to be validated by further large-scale prospective studies.

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Section: Discussionmentioning

confidence: 99%

Prognostic accuracy of early warning scores for predicting serious illness and in-hospital mortality in patients with COVID-19

Kamal,

Hasan,

Sarmin

et al. 2024

PLOS Glob Public Health

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Cytokine Storm among Bangladeshi adults with COVID-19: A prospective cohort study

Sarmin,

Akter,

Islam

et al. 2024

Heliyon

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Performance of chest X-ray scoring in predicting disease severity and outcomes of patients hospitalised with COVID-19 in Bangladesh

Nahar Shaima,

Haque,

Sarmin

et al. 2024

SAGE Open Medicine

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Introduction: Evaluation of potential outcomes of COVID-19-affected pneumonia patients using computed tomography scans may not be conceivable in low-resource settings. Thus, we aimed to evaluate the performance of chest X-ray scoring in predicting the disease severity and outcomes of adults hospitalised with COVID-19. Methods: This was a retrospective chart analysis consuming data from COVID-19-positive adults who had chest X-ray availability and were admitted to a temporary COVID unit, in Bangladesh from 23rd April 2020 to 15th November 2021. At least one clinical intensivist and one radiologist combinedly reviewed each admission chest X-ray for the different lung findings. Chest X-ray scoring varied from 0 to 8, depending on the area of lung involvement with 0 indicating no involvement and 8 indicating ⩾75% involvement of both lungs. The receiver operating characteristic curve was used to determine the optimum chest X-ray cut-off score for predicting the fatal outcomes. Result: A total of 218 (82.9%) out of 263 COVID-19-affected adults were included in the study. The receiver operating characteristic curve demonstrated the optimum cut-off as ⩾3 and ⩾5 for disease severity and death, respectively. In multivariate logistic regression analysis, a chest X-ray score of ⩾3 was found to be independently associated with disease severity (aOR: 8.70; 95% CI: 3.82, 19.58, p < 0.001) and a score of ⩾5 with death (aOR: 16.53; 95% CI: 4.74, 57.60, p < 0.001) after adjusting age, sex, antibiotic usage before admission, history of fever, cough, diabetes mellitus, hypertension, total leukocytes count and C-reactive protein. Conclusion: Using chest X-ray scoring derived cut-off at admission might help to identify the COVID-19-affected adults who are at risk of severe disease and mortality. This may help to initiate early and aggressive management of such patients, thereby reducing their fatal outcomes.

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Comparative Clinical Characteristics, Laboratory Findings, and Outcomes of Hypoxemic and Non-Hypoxemic Patients Treated at a Makeshift COVID-19 Unit in Bangladesh: A Retrospective Chart Analysis

Cited by 4 publications

References 37 publications

Prognostic accuracy of early warning scores for predicting serious illness and in-hospital mortality in patients with COVID-19

Prognostic accuracy of early warning scores for predicting serious illness and in-hospital mortality in patients with COVID-19

Cytokine Storm among Bangladeshi adults with COVID-19: A prospective cohort study

Performance of chest X-ray scoring in predicting disease severity and outcomes of patients hospitalised with COVID-19 in Bangladesh

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