Evidence map›Paper›PMID 31294777›Full record

ArticleInternational health2020

In-hospital mortality among incident hemodialysis older patients in Peru.

Percy Herrera-Añazco, Pedro J Ortiz, Jesus E Peinado, Tania Tello, Fabiola Valero, Adrian V Hernandez, J Jaime Miranda

Open access · hybridAbstract read
In one paragraph

Article in International health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% of its field
1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 2 countries.

Percy Herrera-AñazcoUniversidad San Ignacio de Loyola, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru.
Pedro J OrtizSchool of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru.
Jesus E PeinadoInstituto de Gerontología, Universidad Peruana Cayetano Heredia, Lima, Peru.
Tania TelloSchool of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru.
Fabiola ValeroSchool of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru.
Adrian V HernandezUniversity of Connecticut/Hartford Hospital Evidence-based Practice Center, Hartford, CT, USA.
J Jaime MirandaSchool of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru.
Universidad Peruana Cayetano Heredia · PEHartford Hospital · USUniversidad San Ignacio de Loyola · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the pattern of mortality linked to end stage renal disease (ESRD) is important given the increasing ageing population in low- and middle-income countries.

methodsWe analyzed older patients with ESRD with incident hemodialysis, from January 2012 to August 2017 in one large general hospital in Peru. Individual and health system-related variables were analyzed using Generalized Linear Models (GLM) to estimate their association with in-hospital all-cause mortality. Relative risk (RR) with their 95% confidence intervals (95% CI) were calculated.

resultsWe evaluated 312 patients; mean age 69 years, 93.6% started hemodialysis with a transient central venous catheter, 1.7% had previous hemodialysis indication and 24.7% died during hospital stay. The mean length of stay was 16.1 days (SD 13.5). In the adjusted multivariate models, we found higher in-hospital mortality among those with encephalopathy (aRR 1.85, 95% CI 1.21-2.82 vs. without encephalopathy) and a lower in-hospital mortality among those with eGFR ≤7 mL/min (aRR 0.45, 95% CI 0.31-0.67 vs. eGFR>7 mL/min).

conclusionsThere is a high in-hospital mortality among older hemodialysis patients in Peru. The presence of uremic encephalopathy was associated with higher mortality and a lower estimated glomerular filtration rate with lower mortality.

Indexed as

Hospital MortalityAgedAged, 80 and overAge DistributionFemaleHumansKidney Failure, ChronicMaleMiddle AgedPeruRenal DialysisRisk Factorsepidemiologyhealth servicesmortalityPerurenal dialysis

Identifiers

PMID31294777
PMCPMC7057138
OpenAlexW2957330021

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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.