Fault Lines in India’s COVID-19 Management: Lessons Learned and Future Recommendations

Dhar, Ruby; Pethusamy, Karthikeyan; Jee, Babban; Karmakar, Subhradip

doi:10.2147/rmhp.s320880

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…Returnees from the event propagated COVID-19 over India. The national healthcare sector suffered from a substantial staff and equipment shortage, leading to many instances of failure to manage severe cases [93] , [94] , [95] .…”

Section: Organizing a Mass Gathering Amidst The Covid-19 Public Healt...mentioning

confidence: 99%

Healthcare policies, precautionary measures and outcomes of mass gathering events in the era of COVID-19 pandemic: Expedited review

Alahmari

Khan

Alamri

et al. 2024

Journal of Infection and Public Health

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Section: Organizing a Mass Gathering Amidst The Covid-19 Public Healt...mentioning

confidence: 99%

Healthcare policies, precautionary measures and outcomes of mass gathering events in the era of COVID-19 pandemic: Expedited review

Alahmari

Khan

Alamri

et al. 2024

Journal of Infection and Public Health

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“…and oxygen supply across the country [42,43]. Therefore a proper lab scores based on the relative risk of patient's clinical parameters and routine biomarkers would be an alternative approach for hospital managements to categorize moderate and severe illness at the time of admission.…”

Section: Plos Onementioning

confidence: 99%

Development of lab score system for predicting COVID-19 patient severity: A retrospective analysis

et al. 2022

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Aim To develop an accurate lab score based on in-hospital patients’ potent clinical and biological parameters for predicting COVID-19 patient severity during hospital admission. Methods To conduct this retrospective analysis, a derivation cohort was constructed by including all the available biological and clinical parameters of 355 COVID positive patients (recovered = 285, deceased = 70), collected in November 2020-September 2021. For identifying potent biomarkers and clinical parameters to determine hospital admitted patient severity or mortality, the receiver operating characteristics (ROC) curve and Fischer’s test analysis was performed. Relative risk regression was estimated to develop laboratory scores for each clinical and routine biological parameter. Lab score was further validated by ROC curve analysis of the validation cohort which was built with 50 COVID positive hospital patients, admitted during October 2021-January 2022. Results Sensitivity vs. 1-specificity ROC curve (>0.7 Area Under the Curve, 95% CI) and univariate analysis (p<0.0001) of the derivation cohort identified five routine biomarkers (neutrophil, lymphocytes, neutrophil: lymphocytes, WBC count, ferritin) and three clinical parameters (patient age, pre-existing comorbidities, admitted with pneumonia) for the novel lab score development. Depending on the relative risk (p values and 95% CI) these clinical parameters were scored and attributed to both the derivation cohort (n = 355) and the validation cohort (n = 50). ROC curve analysis estimated the Area Under the Curve (AUC) of the derivation and validation cohort which was 0.914 (0.883–0.945, 95% CI) and 0.873 (0.778–0.969, 95% CI) respectively. Conclusion The development of proper lab scores, based on patients’ clinical parameters and routine biomarkers, would help physicians to predict patient risk at the time of their hospital admission and may improve hospital-admitted COVID-19 patients’ survivability.

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Covid-19, Containment, Policy Initiatives and Urban Restart: Glimpses from Mumbai, India

Sarkar

Kochure

Jana

2022

Advances in 21st Century Human Settlements

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Fault Lines in India’s COVID-19 Management: Lessons Learned and Future Recommendations

Cited by 3 publications

References 33 publications

Healthcare policies, precautionary measures and outcomes of mass gathering events in the era of COVID-19 pandemic: Expedited review

Healthcare policies, precautionary measures and outcomes of mass gathering events in the era of COVID-19 pandemic: Expedited review

Development of lab score system for predicting COVID-19 patient severity: A retrospective analysis

Covid-19, Containment, Policy Initiatives and Urban Restart: Glimpses from Mumbai, India

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