Evidence map›Paper›PMID 33380703›Full record

ArticleThe Indian journal of medical research2020

Acute kidney injury is an independent predictor of in-hospital mortality in a general medical ward: A retrospective study from a tertiary care centre in south India.

Vignesh Kumar Chandiraseharan, Murugabharathy Kalimuthu, Turaka Vijay Prakash, Tina George, Ashwin Rajenesh, Visalakshi Jayaseelan, Thambu David Sudarsanam

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Spectrum, Outcomes, and Mortality Predictors of Acute Kidney Injury among Non-COVID-19 Patients during COVID-19 Pandemic: Data from Four Intensive Care Units.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    Article
  6. Article
  7. Impact of renal recovery on in-hospital and post-discharge mortality.Revista da Escola de Enfermagem da U S P · 2023
    Article
  8. Observational
  9. 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

7 authors at 1 institution in 1 country.

Vignesh Kumar ChandiraseharanDepartment of Internal Medicine, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
Murugabharathy KalimuthuDepartment of Internal Medicine, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
Turaka Vijay PrakashDepartment of Internal Medicine, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
Tina GeorgeDepartment of Internal Medicine, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
Ashwin RajeneshDepartment of Internal Medicine, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
Visalakshi JayaseelanDepartment of Biostatistics, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
Thambu David SudarsanamDepartment of Internal Medicine, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
Christian Medical College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectives: Acute kidney injury (AKI) has been identified as an independent risk factor for mortality in intensive care units. This retrospective study was conducted to determine the effect of AKI on in-hospital mortality in a general medical ward of a tertiary care hospital and risk factors for mortality in patients with AKI.

methods: Demographic and clinical details, and outcome data were collected from case records of patients. In all hospitalized patients, factors associated with increased in-hospital mortality, such as AKI, inotrope requirement, mechanical ventilation and primary disease were compared between patients who died during their hospital stay and those who were discharged alive. Among the hospitalized patients, who had AKI, likely predictors of in-hospital mortality were compared between dead and alive patients at discharge. Factors that were significant in univariate analysis were tested by multivariate regression analysis to identify those that independently predicted poor outcomes.

results: Of the 1150 patients admitted in a general medical ward in a year, 220 patients were identified to have AKI. In-hospital mortality rate among patients with AKI was 19.09 per cent as compared to 1.8 per cent without AKI [adjusted odds ratio (OR) 5.7 (95% CI: 1.56-20.74)]. The presence of AKI was an independent risk factor for death, with an adjusted OR of 6.0 [95% CI: 1.67-21.6]. Among patients with AKI, the presence of haematological malignancy, adjusted OR 25.86 (95% CI: 1.81-369.58), requirement of inotrope, adjusted OR 126.5 (95% CI: 19.39-825.93) and serum creatinine at admission (P<0.001) were found to be independent predictors of death. The presence of underlying chronic kidney disease and hospital-acquired AKI were not found to have an association with mortality. INTERPRETATION &

conclusions: The study showed the in-hospital mortality rate among patients with AKI in a general medical ward was 19.09 per cent. The occurrence of AKI was an independent risk factor for death, with haematological malignancy, use of vasopressors and higher serum creatinine at admission, significantly associated with death among patients with AKI. Large prospective studies need to be done to better understand the outcomes in AKI and the ways to present and manage AKI.

Indexed as

Acute Kidney InjuryHospital MortalityHumansIndiaProspective StudiesRetrospective StudiesRisk FactorsTertiary Care CentersAcute kidney injuryin-hospitalmortalityrisk factors

Identifiers

PMID33380703
PMCPMC8061603
OpenAlexW3116905513

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LicenceCC BY-NC-SA
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Registered trials

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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.