Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 369

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Older age and comorbidity are independent mortality predictors in a large cohort of 1305 COVID‐19 patients in Michigan, United States

Open access
Imam, Z., Odish, F., Gill, I., O’Connor, D., Armstrong, J., Vanood, A., Ibironke, O., Hanna, A., Ranski, A., Halalau, A.·2020·Journal of Internal Medicine

Abstract

Introduction: Higher comorbidity and older age have been reported as correlates of poor outcomes in COVID‐19 patients worldwide; however, US data are scarce. We evaluated mortality predictors of COVID‐19 in a large cohort of hospitalized patients in the United States. Design: Retrospective, multicenter cohort of inpatients diagnosed with COVID‐19 by RT‐PCR from 1 March to 17 April 2020 was performed, and outcome data evaluated from 1 March to 17 April 2020. Measures included demographics, comorbidities, clinical presentation, laboratory values and imaging on admission. Primary outcome was mortality. Secondary outcomes included length of stay, time to death and development of acute kidney injury in the first 48‐h. Results: The 1305 patients were hospitalized during the evaluation period. Mean age was 61.0 ± 16.3, 53.8% were male and 66.1% African American. Mean BMI was 33.2 ± 8.8 kg m−2. Median Charlson Comorbidity Index (CCI) was 2 (1–4), and 72.6% of patients had at least one comorbidity, with hypertension (56.2%) and diabetes mellitus (30.1%) being the most prevalent. ACE‐I/ARB use and NSAIDs use were widely prevalent (43.3% and 35.7%, respectively). Mortality occurred in 200 (15.3%) of patients with median time of 10 (6–14) days. Age > 60 (aOR: 1.93, 95% CI: 1.26–2.94) and CCI > 3 (aOR: 2.71, 95% CI: 1.85–3.97) were independently associated with mortality by multivariate analyses. NSAIDs and ACE‐I/ARB use had no significant effects on renal failure in the first 48 h. Conclusion: Advanced age and an increasing number of comorbidities are independent predictors of in‐hospital mortality for COVID‐19 patients. NSAIDs and ACE‐I/ARB use prior to admission is not associated with renal failure or increased mortality.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/joim.13119

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 15 references

Cited by

See all 369

Metadata

Authors
Imam, Z., Odish, F., Gill, I., O’Connor, D., Armstrong, J., Vanood, A., Ibironke, O., Hanna, A., Ranski, A., & Halalau, A.
Venue
Journal of Internal Medicine
Publisher
Wiley
Published
2020-06-22
Volume
288
Issue
4
Pages
469-476
ISSN
  • 0954-6820 (ISSN-L)
  • 1365-2796
OpenAlex
W3033710942
Cited by
369
References
15
FWCI
9.93
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Older age and comorbidity are independent mortality predictors in a large cohort of 1305 COVID‐19 patients in Michigan, United States. https://app.cochat.ai/papers/10.1111/joim.13119
The paper
Imam, Z., Odish, F., Gill, I., O’Connor, D., Armstrong, J., Vanood, A., Ibironke, O., Hanna, A., Ranski, A., & Halalau, A. (2020). Older age and comorbidity are independent mortality predictors in a large cohort of 1305 COVID‐19 patients in Michigan, United States. Journal of Internal Medicine. https://doi.org/10.1111/joim.13119

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.