Evidence map›Paper›PMID 40510615›Full record

ArticleKidney medicine2025

Time Trends and Causes of Infection-Related Mortality Among Patients Starting Dialysis in Finland: A Nationwide Cohort Study.

Susanna Kinnunen, Ilkka Helanterä, Auni Juutilainen, Wisam Bitar, Jaakko Helve, Patrik Finne

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Article in Kidney medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Susanna KinnunenDivision of Nephrology, Department of Medicine, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland.
Ilkka HelanteräTransplantation and Liver Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Auni JuutilainenInstitute of Clinical Medicine/Internal Medicine, University of Eastern Finland, Kuopio, Finland.
Wisam BitarDepartment of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Jaakko HelveDepartment of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Patrik FinneDepartment of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale & Objective: Previously, we reported a decrease in infection-related mortality in kidney transplant recipients. Regarding patients treated with dialysis, it is unclear whether infection-related mortality is decreasing. Therefore, we investigated current time trends and specific causes of infection-related mortality over 2 decades in a large cohort of patients treated with dialysis. Study Design: A nationwide cohort study. Setting & Participants: Patients starting kidney replacement therapy were identified through the Finnish Registry for Kidney Diseases. Follow-up continued until death of any cause, kidney transplantation, moving abroad, recovery of kidney function, loss of follow-up, or end of study. Exposure: Long-term kidney replacement therapy. Outcome: Death due to infection. Analytical Approach: Incidence rates, incidence rate ratios, and adjusted Cox regression hazard ratios for infection-related deaths were calculated by sub-cohorts consisting of patients whose kidney replacement therapy was started either 2000-2004, 2005-2009, 2010-2014, or 2015-2019. As sensitivity analyses, we studied infection-related mortality within 1 year of dialysis initiation and performed competing risk analysis. Results: A total of 9,671 adult patients started long-term dialysis from 2000 to 2019. Infection-related deaths declined from 47 to 23 deaths per 1,000 person-years over the four 5-year intervals from 2000-2004 to 2015-2019. The hazard ratio of a Cox model including identified risk factors was 0.49 (95% CI, 0.39-0.62) for patients who started dialysis in 2015-2019 compared with those who started in 2000-2004. The most common specific causes of infection-related deaths were septicemia (38%), pulmonary infection (36%), and peritonitis (8%), whereas opportunistic infections rarely caused death. Limitations: Death certificates may have low sensitivity for infectious diseases. Only one cause of death is available. Categories of infectious deaths may overlap. Conclusions: Risk of dying due to infections has halved since the beginning of the millennium despite aging among patients treated with dialysis. The reason for this development requires further studies.

Indexed as

Dialysishemodialysisincidence rateincidence rate ratioinfection-related mortalitykidney replacement therapymortalityperitoneal dialysissepsis

Identifiers

PMID40510615
PMCPMC12152325

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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.