Evidence map›Paper›PMID 35438223›Full record

Observational studyNephrology (Carlton, Vic.)2022

COVID-19 death and kidney disease in a multiracial Asian country.

Bak Leong Goh, Malini Shanmuganathan, Kalaiarasu Peariasamy, Nor Arisah Misnan, Suresh Kumar Chidambaram, Eddie Fook Sem Wong, Mohan Dass Pathmanathan, Kim Liong Ang, Hin Seng Wong, Lena Lay Ling Yeap

Abstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Nephrology (Carlton, Vic.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Observational
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

10 authors.

Bak Leong GohClinical Research Centre, Hospital Serdang, Kajang, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-4644-7743
Malini ShanmuganathanClinical Research Centre, Hospital Serdang, Kajang, Selangor, Malaysia.
Kalaiarasu PeariasamyInstitute for Clinical Research, National Institute of Health, Setia Alam, Selangor, Malaysia.
Nor Arisah MisnanDepartment of Infectious Disease, Hospital Sungai Buloh, Sungai Buloh, Selangor, Malaysia.
Suresh Kumar ChidambaramDepartment of Infectious Disease, Hospital Sungai Buloh, Sungai Buloh, Selangor, Malaysia.
Eddie Fook Sem WongHemodialysis Unit, Hospital Sungai Buloh, Sungai Buloh, Selangor, Malaysia.
Mohan Dass PathmanathanInstitute for Clinical Research, National Institute of Health, Setia Alam, Selangor, Malaysia.
Kim Liong AngClinical Research Centre, Hospital Serdang, Kajang, Selangor, Malaysia.ORCID https://orcid.org/0000-0001-5699-3935
Hin Seng WongDepartment of Nephrology, Hospital Selayang, Selayang, Selangor, Malaysia.
Lena Lay Ling YeapInfinite Stats Consult, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCOVID-19 infection and kidney disease (KD) carry a considerable risk of mortality. Understanding predictors of death and KD may help improve management and patient outcome.

methodsThis is a prospective multicentre observational study conducted in a multiracial Asian country to identify predictors of death and acute kidney injury (AKI) in hospitalized COVID-19 patients from January to June 2020.

resultsA total of 6078 patients were included in this study. Mean age was 37.3 (±16.8) years, 71% were male, 59.4% Malay, 6.7% Chinese, 2.3% Indian and 31.7% other ethnicities. AKI was seen in 3.5% of patients while 1.6% had pre-existing chronic kidney disease (CKD). Overall case fatality rate (CFR) was 1.3%. Patients with KD (AKI and CKD) had CFR of 20%. Many factors were associated with increased risk of death and AKI. However, significant predictors of death after adjustment for covariates were age (>70 years), Chinese ethnicity, diabetes mellitus (DM) and KD. Adjusted predictors of AKI were age (>51 years), DM and severity at presentation. Chinese were 2.58 times more likely to die (p = .036) compared to Malay. Centre capacity to manage, ventilate and dialyze patients significantly influenced death. Among those with AKI, the most common symptoms were fever, cough, and dyspnea. They had lower absolute lymphocyte count, were more likely to be admitted to ICU, required more ventilation and longer hospitalization.

conclusionPatient and centre factors influence death and AKI among COVID-19 patients. This study also demonstrates death disparities across different racial groups and centre capacities in this multiracial Asian country.

Indexed as

Acute Kidney InjuryCOVID-19Diabetes MellitusRenal Insufficiency, ChronicAdultAgedFemaleHospital MortalityHumansMaleMiddle AgedProspective StudiesRacial GroupsRetrospective StudiesRisk FactorsCOVID-19deathethnicitykidney diseaserisk factors

Identifiers

PMID35438223
PMCPMC9115296

What OpenQuestion holds

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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.