Evidence map›Paper›PMID 33444372›Full record

ArticlePLoS medicine2021

Recognition and management of community-acquired acute kidney injury in low-resource settings in the ISN 0by25 trial: A multi-country feasibility study.

Etienne Macedo, Ulla Hemmila, Sanjib Kumar Sharma, Rolando Claure-Del Granado, Henry Mzinganjira, Emmanuel A Burdmann, Jorge Cerdá, John Feehally, Fredric Finkelstein, Guillermo García-García and 13 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
5.7field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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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

23 authors at 17 institutions in 11 countries.

Etienne MacedoDivision of Nephrology, Department of Medicine, University of California San Diego, San Diego, California, United States of America.ORCID 0000-0002-3669-6519
Ulla HemmilaCollege of Medicine, University of Malawi, Blantyre, Malawi.
Sanjib Kumar SharmaDepartment of Internal Medicine, B.P. Koirala Institute of Health Sciences, Dharan, Nepal.
Rolando Claure-Del GranadoDivision of Nephrology, Hospital Obrero #2-Caja Nacional de Salud, School of Medicine, Universidad Mayor de San Simón, Cochabamba, Bolivia.ORCID 0000-0002-8163-3779
Henry MzinganjiraCollege of Medicine, University of Malawi, Blantyre, Malawi.
Emmanuel A BurdmannLIM 12, Division of Nephrology, University of São Paulo Medical School, São Paulo, Brazil.ORCID 0000-0002-7644-8579
Jorge CerdáDivision of Nephrology, Department of Medicine, Albany Medical College, Albany, New York, United States of America.ORCID 0000-0001-7058-1697
John FeehallyUniversity of Leicester, Leicester, United Kingdom.
Fredric FinkelsteinYale University, New Haven, Connecticut, United States of America.
Guillermo García-GarcíaHospital Civil de Guadalajara, University of Guadalajara Health Science Center, Guadalajara, Jalisco, Mexico.
Vivekanand JhaGeorge Institute for Global Health, University of New South Wales, New Delhi, India.ORCID 0000-0002-8015-9470
Norbert H LameireNephrology Section, Department of Internal Medicine, University Hospital, Ghent, Belgium.
Euyhyun LeeAltman Clinical and Translational Research Institute, University of California San Diego, La Jolla, California, United States of America.
Nathan W LevinMount Sinai School of Medicine, Renal Research Institute, New York, New York, United States of America.
Andrew LewingtonDepartment of Nephrology, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.ORCID 0000-0001-5504-0120
Raúl LombardiDepartment of Critical Care Medicine, Servicio Médico Integral, Montevideo, Uruguay.ORCID 0000-0002-2398-794X
Michael V RoccoSection of Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.ORCID 0000-0003-0544-6071
Eliah Aronoff-SpencerDivision of Nephrology, Department of Medicine, University of California San Diego, San Diego, California, United States of America.ORCID 0000-0002-6279-5027
Marcello TonelliUniversity of Calgary, Calgary, Alberta, Canada.ORCID 0000-0002-0846-3187
Karen YeatesDivision of Nephrology, Department of Medicine, Queen's University, Kingston, Ontario, Canada.ORCID 0000-0003-3628-0879
Giuseppe RemuzziIstituto di Ricerche Farmacologiche Mario Negri, Istituto di Ricovero e Cura a Carattere Scientifico, Bergamo, Italy.ORCID 0000-0002-6194-3446
Ravindra L MehtaDivision of Nephrology, Department of Medicine, University of California San Diego, San Diego, California, United States of America.
ISN 0by25 Trial Study Group
University of California San Diego · USUniversity of Malawi · MWAlbany Medical Center Hospital · USB.P. Koirala Institute of Health Sciences · NPGhent University Hospital · BELeeds Teaching Hospitals NHS Trust · GBManipal Academy of Higher Education · INMario Negri Institute for Pharmacological Research · ITQueen's University · CARenal Research Institute · USUniversidad de Guadalajara · MXUniversidade de São Paulo · BRUniversidad Mayor de San Simón · BOUniversity of Calgary · CAUniversity of Leicester · GBWake Forest University · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is increasingly encountered in community settings and contributes to morbidity, mortality, and increased resource utilization worldwide. In low-resource settings, lack of awareness of and limited access to diagnostic and therapeutic interventions likely influence patient management. We evaluated the feasibility of the use of point-of-care (POC) serum creatinine and urine dipstick testing with an education and training program to optimize the identification and management of AKI in the community in 3 low-resource countries. METHODS AND

findingsPatients presenting to healthcare centers (HCCs) from 1 October 2016 to 29 September 2017 in the cities Cochabamba, Bolivia; Dharan, Nepal; and Blantyre, Malawi, were assessed utilizing a symptom-based risk score to identify patients at moderate to high AKI risk. POC testing for serum creatinine and urine dipstick at enrollment were utilized to classify these patients as having chronic kidney disease (CKD), acute kidney disease (AKD), or no kidney disease (NKD). Patients were followed for a maximum of 6 months with repeat POC testing. AKI development was assessed at 7 days, kidney recovery at 1 month, and progression to CKD and mortality at 3 and 6 months. Following an observation phase to establish baseline data, care providers and physicians in the HCCs were trained with a standardized protocol utilizing POC tests to evaluate and manage patients, guided by physicians in referral hospitals connected via mobile digital technology. We evaluated 3,577 patients, and 2,101 were enrolled: 978 in the observation phase and 1,123 in the intervention phase. Due to the high number of patients attending the centers daily, it was not feasible to screen all patients to assess the actual incidence of AKI. Of enrolled patients, 1,825/2,101 (87%) were adults, 1,117/2,101 (53%) were females, 399/2,101 (19%) were from Bolivia, 813/2,101 (39%) were from Malawi, and 889/2,101 (42%) were from Nepal. The age of enrolled patients ranged from 1 month to 96 years, with a mean of 43 years (SD 21) and a median of 43 years (IQR 27-62). Hypertension was the most common comorbidity (418/2,101; 20%). At enrollment, 197/2,101 (9.4%) had CKD, and 1,199/2,101 (57%) had AKD. AKI developed in 30% within 7 days. By 1 month, 268/978 (27%) patients in the observation phase and 203/1,123 (18%) in the intervention phase were lost to follow-up. In the intervention phase, more patients received fluids (observation 714/978 [73%] versus intervention 874/1,123 [78%]; 95% CI 0.63, 0.94; p = 0.012), hospitalization was reduced (observation 578/978 [59%] versus intervention 548/1,123 [49%]; 95% CI 0.55, 0.79; p < 0.001), and admitted patients with severe AKI did not show a significantly lower mortality during follow-up (observation 27/135 [20%] versus intervention 21/178 [11.8%]; 95% CI 0.98, 3.52; p = 0.057). Of 504 patients with kidney function assessed during the 6-month follow-up, de novo CKD arose in 79/484 (16.3%), with no difference between the observation and intervention phase (95% CI 0.91, 2.47; p = 0.101). Overall mortality was 273/2,101 (13%) and was highest in those who had CKD (24/106; 23%), followed by those with AKD (128/760; 17%), AKI (85/628; 14%), and NKD (36/607; 6%). The main limitation of our study was the inability to determine the actual incidence of kidney dysfunction in the health centers as it was not feasible to screen all the patients due to the high numbers seen daily.

conclusionsThis multicenter, non-randomized feasibility study in low-resource settings demonstrates that it is feasible to implement a comprehensive program utilizing POC testing and protocol-based management to improve the recognition and management of AKI and AKD in high-risk patients in primary care.

Indexed as

Acute Kidney InjuryAdolescentAdultAgedAged, 80 and overBiomarkersBoliviaChildChild, PreschoolCreatinineDeveloping CountriesDisease ProgressionFeasibility StudiesFemaleHumansInfantBiomarkersCreatinine

Identifiers

PMID33444372
PMCPMC7808595
OpenAlexW3120540451

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