Evidence map›Paper›PMID 31349813›Full record

ArticleBMC nephrology2019

A prospective study of clinical characteristics and outcomes of acute kidney injury in a tertiary care Centre.

Su Hooi Teo, Kian-Guan Lee, Riece Koniman, Alvin Ren Kwang Tng, Zhong Hong Liew, Thin Thiri Naing, Huihua Li, Ru Yu Tan, Han Khim Tan, Hui Lin Choong and 2 more

Abstract read
In one paragraph

Article in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

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  6. 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
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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

12 authors.

Su Hooi TeoDepartment of Renal Medicine, Academia, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore. teo.su.hooi@singhealth.com.sg.
Kian-Guan LeeDepartment of Renal Medicine, Academia, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
Riece KonimanDepartment of Renal Medicine, Academia, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
Alvin Ren Kwang TngDepartment of Renal Medicine, Academia, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
Zhong Hong LiewDepartment of Renal Medicine, Academia, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
Thin Thiri NaingHealth Services Research Unit, Bachelor of Nursing, University of Sydney, Singapore General Hospital, Singapore, Singapore.
Huihua LiHealth Services Research Unit, Bachelor of Nursing, University of Sydney, Singapore General Hospital, Singapore, Singapore.
Ru Yu TanDepartment of Renal Medicine, Academia, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
Han Khim TanDepartment of Renal Medicine, Academia, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
Hui Lin ChoongDepartment of Renal Medicine, Academia, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
W Y Marjorie FooDepartment of Renal Medicine, Academia, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.
Manish KaushikDepartment of Renal Medicine, Academia, Singapore General Hospital, 20 College Road, Singapore, 169856, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is a major global health problem. We aim to evaluate the epidemiology, risk factors and outcomes of AKI episodes in our single centre. METHODOLOGY: We prospectively identified 422 AKI and acute on chronic kidney disease episodes in 404 patients meeting KDIGO definitions using electronic medical records and clinical data from 15th July to 22nd October 2016, excluding patients with baseline estimated GFR (eGFR) of < 15 mL/min. Patients were followed up till 6 months after AKI diagnosis.

resultsThe mean age was 65.8 ± 14.1. Majority of patients were male (58.2%) of Chinese ethnicity (68.8%). One hundred and thirty-two patients (32.6%) were diagnosed in acute care units. Seventy-five percent of patients developed AKI during admission in a non-Renal specialty. Mean baseline eGFR was 50.2 ± 27.7 mL/min. Mean creatinine at AKI diagnosis was 297 ± 161 μmol/L. Renal consultations were initiated at KDIGO Stages 1, 2 and 3 in 58.9, 24.5 and 16.6% of patients, respectively. Three hundred and ten (76.7%) patients had a single etiology of AKI with the 3 most common etiologies of AKI being pre-renal (27.7%), sepsis-associated (25.5%) and ischemic acute tubular necrosis (15.3%). One hundred and nine (27%) patients received acute renal replacement therapy. In-hospital mortality was 20.3%. Six-month mortality post-AKI event was 9.4%. On survival analysis, patients with KDIGO Stage 3 AKI had significantly shorter survival than other stages.

conclusionAKI is associated with significant in-hospital to 6-month mortality. This signifies the pressing need for AKI prevention, early detection and intervention in mitigating reversible risk factors in order to optimize clinical outcomes.

Indexed as

Acute Kidney InjuryAgedFemaleHospital MortalityHumansMaleMiddle AgedProspective StudiesRisk FactorsSurvival AnalysisTertiary Care CentersAcute kidney injuryDialysisMortality

Identifiers

PMID31349813
PMCPMC6660929

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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.