Evidence map›Paper›PMID 35402606›Full record

ArticleBioMed research international2022

Prevalence and Impact of Preexisting Comorbidities on Overall Clinical Outcomes of Hospitalized COVID-19 Patients.

Rajeswari Koyyada, Balakrishna Nagalla, Anusha Tummala, Anula D Singh, Sreekanth Patnam, Ravikiran Barigala, Mahati Kandala, Vamsi Krishna, Sasidhar V Manda

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Observational
  3. Observational
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Rajeswari KoyyadaApollo Hospitals Educational and Research Foundation (AHERF), Apollo Hospitals, 500096, India.ORCID https://orcid.org/0000-0001-5114-2701
Balakrishna NagallaDepartment of Biostatistics, Apollo Institute of Medical Sciences and Research (AIMSR), 500033, India.ORCID https://orcid.org/0000-0002-5613-0942
Anusha TummalaApollo Hospitals Educational and Research Foundation (AHERF), Apollo Hospitals, 500096, India.ORCID https://orcid.org/0000-0001-8116-803X
Anula D SinghApollo Hospitals Educational and Research Foundation (AHERF), Apollo Hospitals, 500096, India.ORCID https://orcid.org/0000-0001-8206-8719
Sreekanth PatnamApollo Hospitals Educational and Research Foundation (AHERF), Apollo Hospitals, 500096, India.ORCID https://orcid.org/0000-0002-5213-1470
Ravikiran BarigalaDepartment of Infectious Diseases, Apollo Health City, 500033, India.ORCID https://orcid.org/0000-0001-7103-226X
Mahati KandalaDepartment of Infectious Diseases, Apollo Health City, 500033, India.ORCID https://orcid.org/0000-0002-8413-3796
Vamsi KrishnaDepartment of Infectious Diseases, Apollo Health City, 500033, India.ORCID https://orcid.org/0000-0001-8910-2481
Sasidhar V MandaApollo Hospitals Educational and Research Foundation (AHERF), Apollo Hospitals, 500096, India.ORCID https://orcid.org/0000-0002-5981-5277
Apollo Hospitals · INApollo Hospitals · INApollo Institute of Medical Sciences & Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 risk increases with comorbidities, and the effect is magnified due to the contribution of individual and combined comorbidities to the overall clinical outcomes. We aimed to explore the influence of demographic factors, clinical manifestations, and underlying comorbidities on mortality, severity, and hospital stay in COVID-19 patients. Therefore, retrospective chart reviews were performed to identify all laboratory-confirmed cases of SARS-CoV-2 infection in Apollo Hospitals, Hyderabad, between March 2020 and August 2020.A total of 369 confirmed SARS-CoV-2 cases were identified: 272 (73.7%) patients were male, and 97 (26.2%) were female. Of the confirmed cases, 218 (59.1%) had comorbidities, and 151 (40.9%) were devoid of comorbidities. This study showed that old age and underlying comorbidities significantly increase mortality, hospital stay, and severity due to COVID-19 infection. The presence of all four comorbidities, diabetes mellitus (DM) + Hypertension (HTN) + coronary artery disease (CAD) + chronic kidney disease (CKD), conferred the most severity (81%). The highest mortality (OR: 44.03, 95% CI: 8.64-224.27) was observed during the hospital stay (12.73 ± 11.38; 95% CI: 5.08-20.38) in the above group. Multivariate analysis revealed that nonsurvivors are highest (81%) in (DM + HTN + CAD + CKD) category with an odds ratio (95% CI) of 44.03 (8.64-224.27). Age, gender, and comorbidities adjusted odds ratio decreased to 20.25 (3.77-108.77). Median survival of 7 days was observed in the (DM + HTN + CAD + CKD) category. In summary, the presence of underlying comorbidities has contributed to a higher mortality rate, greater risk of severe disease, and extended hospitalization periods, hence, resulting in overall poorer clinical outcomes in hospitalized COVID-19 patients.

Indexed as

COVID-19Diabetes MellitusHypertensionRenal Insufficiency, ChronicComorbidityFemaleHospitalizationHumansMalePrevalenceRetrospective StudiesRisk FactorsSARS-CoV-2

Identifiers

PMID35402606
PMCPMC8984738
OpenAlexW4225491305

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.