Impact of comorbidity on patients with COVID-19 in India: A nationwide analysis

Singh, Priya; Bhaskar, Y. Vijaya; Verma, Pulkit; Rana, Shweta; Goel, Prabudh; Kumar, Sujeet; Gouda, K. C.; Singh, Harpreet

doi:10.3389/fpubh.2022.1027312

Cited by 13 publications

(14 citation statements)

References 35 publications

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“…Reviewing the literature, we observed the relationship between the number of comorbidities and mortality from COVID-19 is not unanimously reported, as there are some data that show an exponential relationship, while others show an inverse relationship (13)(14)(15). However, the common agreement among the consulted studies is that patients affected by different NCDs and COVID-19 have a high and differentiated prevalence around the world that ranges from 33.8-56.6% of the investigated samples (2).…”

Section: Discussionmentioning

confidence: 99%

Individual and mutual effects of diabetes, hypertension, and obesity on acute respiratory distress syndrome mortality rates in clinical patients: a multicentre study

Araújo

Monteiro

Araújo

et al. 2023

Front. Public Health

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Patients with comorbidities are more vulnerable to severe clinical cases of acute respiratory distress syndrome (ARDS) and COVID-19 require complex health care. To analyse the association between the individual and combined effects of diabetes, hypertension, and obesity on ARDS mortality rates among patients receiving clinical care. A multicentre study encompassing retrospective data analysis and conducted with 21,121 patients from 6,723 health services across Brazil, during the 2020–2022 time period. The sample group consisted of clinical patients of both sexes and different age groups who received clinical care and showed at least one comorbidity. The data collected were analysed using binary logistic regressions and the Chi-square test. The overall mortality rate was 38.7%, with a higher predominance among males (p < 0.001), mixed-race individuals (p < 0.001), and older adults (p < 0.001). The main comorbidity variables associated with and leading to death from ARDS were arterial hypertension (p < 0.001), diabetes mellitus (p < 0.001), diabetes mellitus and arterial hypertension (p < 0.001), cardiovascular diseases (p < 0.001) and obesity (p < 0.001). Both the patients who progressed to recovery (48.4%) and to death (20.5%) presented only one comorbidity (χ2 (1,749) = 8, p < 0.001), respectively. The isolated comorbidities with the greatest impact on death outcomes were diabetes (95% CI 2.48–3.05, p < 0.001), followed by obesity (95% CI 1.85–2.41, p < 0.001) and hypertension (95% CI 1.05–1.22, p < 0.001), even after adjusting for sex and number of simultaneous comorbidities. Diabetes and obesity, as isolated conditions, had a greater influence on the number of deaths of clinical patients with ARDS compared to those with mutual diagnosis of diabetes, hypertension and obesity.

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Section: Discussionmentioning

confidence: 99%

Individual and mutual effects of diabetes, hypertension, and obesity on acute respiratory distress syndrome mortality rates in clinical patients: a multicentre study

Araújo

Monteiro

Araújo

et al. 2023

Front. Public Health

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“…Singh et al. [ 17 ] conducted a pan-India study in 2022, highlighting the significant risk factor for mortality in COVID-19 patients with diabetes (OR:2.39; 95%CI: 2.31–2.47), hypertension (OR:2.31; 95%CI:2.23–2.39) and heart disease (OR:2.19; 95%CI: 2.08–2.30). Lippy et al.…”

Section: Discussionmentioning

confidence: 99%

“…In a study by Singh et al. [ 17 ] in India, 2021, it was observed that 32.9% of the patients died within 24 hours of hospital admission due to Delta infection, of which 77.8% had comorbidities. The current study is in agreement where, patients with infections by the Delta variant, died mostly within 48 hours (30.8%) of hospital admission, similar to study done in Tamil Nadu [ 25 ] where 24% of patients succumbed to the disease within a day of admission.…”

Section: Discussionmentioning

confidence: 99%

Is Omicron really mild? – Comparative analysis of comorbidities and disease outcomes associated with SARS-CoV-2 Omicron (B.1.1.529) and Delta (B.1.617.2) variants

Manchanda

Mitra

Rafique

et al. 2023

Indian Journal of Medical Microbiology

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“…Furthermore, the older cohort of 60-79 years has a higher burden of NCDs compared to their younger counterparts in Nepal. Global data showed that the highest death rate was noted in those with cardiovascular diseases, followed by diabetes, chronic respiratory diseases, hypertension, and cancer [30][31][32]. Our study showed that 4 in 10 deceased had hypertension and almost 1 in 3 had type 2 diabetes, compared to the national prevalence of hypertension of 32% (95% CI: 23%-40%) [33] and type 2 diabetes of 8.5% (95% CI: 6.9%-10.4%) [34] among the adult population.…”

Section: Discussionmentioning

confidence: 99%

Epidemiology of COVID‐19 mortality in Nepal: An analysis of the National Health Emergency Operation Center data

Adhikari,

Ranabhat,

Bhattarai

et al. 2023

Public Health Challenges

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IntroductionCOVID‐19 had caused nearly 12,000 deaths in Nepal by March 2023. In this study, we compare COVID‐19‐associated mortality in the first (September 15 to November 30, 2020) and second (April 15 to June 30, 2021) waves of the pandemic in Nepal and investigate the associated epidemiological factors.MethodsWe disaggregated the COVID‐19‐related deaths between the first and second waves of the pandemic using the national COVID‐19 database and evaluated the association of independent variables with the deaths in the first versus second waves.ResultsOut of 8133 deaths, 25% died in the first wave and 75% in the second. Overall, 33.5% of the deceased were female, and 52% of the deaths were in those 60 years or older. A vast majority (92%) of deaths occurred in hospitals. Geographically, the middle “Hill” region (58.3%) witnessed the most significant number of deaths. About two thirds (64%) had at least one comorbid condition. Multivariable logistic regression showed a difference in the reported deaths by province (state) and geography (ecological region) between the first and second waves. Those in the age groups “19–39 years” and “40–59 years” were more likely to die in the second wave than in the first wave compared to the younger age group.ConclusionsOverall, deaths were concentrated among older age groups, males, in the Hill regions, in the western provinces, and those with comorbidities. Therefore, the country must focus on these areas to ensure an efficient and effective pandemic response in the future.

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Impact of comorbidity on patients with COVID-19 in India: A nationwide analysis

Cited by 13 publications

References 35 publications

Individual and mutual effects of diabetes, hypertension, and obesity on acute respiratory distress syndrome mortality rates in clinical patients: a multicentre study

Individual and mutual effects of diabetes, hypertension, and obesity on acute respiratory distress syndrome mortality rates in clinical patients: a multicentre study

Is Omicron really mild? – Comparative analysis of comorbidities and disease outcomes associated with SARS-CoV-2 Omicron (B.1.1.529) and Delta (B.1.617.2) variants

Epidemiology of COVID‐19 mortality in Nepal: An analysis of the National Health Emergency Operation Center data

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