Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 441

The DOI matches its OpenAlex record; 33 of the 33 references it cites were found in a registry or an index.

Prognostic Stratification in Critically Ill Patients With Acute Renal Failure Requiring Dialysis

Glenn Matthew Chertow·1995·Archives of Internal Medicine

Abstract

BACKGROUND: Despite the widespread availability of dialytic and intensive care unit technology, the probability of early mortality in critically ill persons with acute renal failure is distressingly high. Previous efforts to predict outcome in this population have been limited by small sample size and the absence of uniform exclusion criteria. Additionally, data obtained decades ago may not apply today owing to changes in case mix. METHODS: The medical records of 132 consecutive patients in the intensive care unit with acute renal failure who required dialysis from 1991 through 1993 were evaluated by a blinded reviewer. RESULTS: The overall in-hospital mortality rate was 70%. Twelve readily available historical, clinical, and laboratory variables were significantly associated with in-hospital mortality. Multivariate logistic regression analysis showed that mechanical ventilation, malignancy, and nonrespiratory organ system failure were independently associated with in-hospital mortality. Using a 95% positivity criterion, this model identified 24% of high-risk patients who died, without misclassification of any survivors. Of those who survived to hospital discharge, 33% were dialysis dependent and 28% were institutionalized long-term. CONCLUSIONS: Among critically ill patients, acute renal failure requiring dialysis is an ominous condition with a high risk of in-hospital mortality. This risk appears to depend largely on comorbid conditions, such as the need for mechanical ventilation and underlying malignancy. While this prognostic model requires prospective validation, it appears to identify a substantial fraction of patients for whom dialysis may be of limited or no benefit.

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

OpenAlex · 10.1001/archinte.155.14.1505

Cites

33 of 33 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 33 references

Cited by

See all 441

Metadata

Authors
Chertow, G. M.
Venue
Archives of Internal Medicine
Publisher
American Medical Association
Published
1995-07-24
Volume
155
Issue
14
Pages
1505-1505
ISSN
0003-9926 (ISSN-L)
OpenAlex
W2056699935
Cited by
441
References
33
FWCI
13.29
Type
journal article
Language
en
Open access
closed

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: Prognostic Stratification in Critically Ill Patients With Acute Renal Failure Requiring Dialysis. https://app.cochat.ai/papers/10.1001/archinte.155.14.1505
The paper
Chertow, G. M. (1995). Prognostic Stratification in Critically Ill Patients With Acute Renal Failure Requiring Dialysis. Archives of Internal Medicine. https://doi.org/10.1001/archinte.155.14.1505

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.