Evidence map›Paper›PMID 40640725›Full record

ArticleBMC infectious diseases2025

Sepsis in elderly patients: investigation of prognostic factors in a secondary healthcare facility.

Dilek Dülger, Zeynep Ture, Ayşe Yolcu, Esma Eryılmaz Eren, Nevin Sanlier, Emine Alp

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Frontiers in microbiology · 2026
    Article
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

6 authors.

Dilek DülgerDepartment of Microbiology, University of Health Sciences, Ankara City Health Application and Research Center, Ankara, Türkiye, Turkey. dulgerdrdilek@gmail.com.ORCID http://orcid.org/0000-0003-3640-5686
Zeynep TurePrivate Gurlife Hospital, Infectious Diseases Clinic, Eskişehir, Türkiye, Turkey.ORCID http://orcid.org/0000-0001-6895-0318
Ayşe YolcuDepartment of Infection Control Committee, Ankara 29 Mayıs State Hospital, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0000-0002-0890-5344
Esma Eryılmaz ErenDepartment of Infectious Diseases and Clinical Microbiology, University of Health Sciences, Kayseri City Training and Research Hospital, Kayseri, Türkiye, Turkey.ORCID http://orcid.org/0000-0002-2712-9694
Nevin SanlierFaculty of Health Sciences, Ankara Medipol University, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0000-0001-5937-0485
Emine AlpDepartment of Infectious Diseases and Clinical Microbiology, Ankara Bilkent City Hospital Faculty of Medicine, Ankara Yıldırım Beyazıt University, Ankara, Türkiye, Turkey.ORCID http://orcid.org/0000-0003-0189-6008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate risk factors affecting the prognosis of sepsis in elderly patients.

methodThe study was conducted retrospectively in a secondary healthcare institution between 2016 and 2023. Elderly patients (> 65 years) admitted with sepsis were included. Demographic data, laboratory parameters on the day of diagnosis, sepsis origin, causative microorganisms, and mortality on the 28th day were recorded.

resultsA total of 179 elderly patients were included. The median age was 82 and 44% were male. The mortality rate was 49% on the 28th day. Hypertension was more common in the non-survived patients. Blood urea nitrogen (OR 1.03 (1.00-1.05) p = 0.007), and albumin (OR 0.26 (0.10-0.62) p = 0.003), levels were a predictor of mortality at the time of the admission. In the non-survived patients, Systemic inflammatory response syndrome (SIRS) and quick sepsis-related organ failure assessment scores were higher at the time of sepsis diagnosis (p < 0.001). The rate of septic shock (79.5% vs. 33%), intensive care unit (99% vs. 90%), mechanical ventilation (87.5% vs. 55%), and vasopressor needs (55% vs. 27.5%) were significantly higher in the non-survived patients. The rate of bacteremia was found to be higher in the non-survived patient group (26%) than in the survivors (13.2%). The rate of Gram-negative microorganisms was significantly higher in the non-survived patient group than in the survivors (63% vs. 27%; p < 0.001). The most frequently isolated bacteria were Klebsiella pneumoniae (33%) in blood culture; it was Escherichia coli (35%) in urine cultures and Acinetobacter baumanii (40%) in sputum cultures. On the 3-5th day of treatment, the clinical response rate was lower in the non-survived patient group (29%) than in the surviving's (53%) (p = 0.001). The most important determinants for the mortality were hypertension (OR 2.39 (1.25-4.95) p = 0.019), SIRS score (OR 1.86 (1.32-2.61) p < 0.001) and Gram-negative bacteria sepsis (OR 2.53 (1.22-5.22), p = 0.012).

conclusionThe number and the proportion of the elderly population is increasing worldwide, and sepsis is one of the most common causes of death in elderly patients. Knowing the poor prognostic factors is important for early treatment and to reduce mortality.

Indexed as

SepsisAgedAged, 80 and overFemaleHumansIntensive Care UnitsMalePrognosisRetrospective StudiesRisk FactorsSystemic Inflammatory Response SyndromeelderlygeriatricGram negative bacteriahypertensionSepsisSIRSscore

Identifiers

PMID40640725
PMCPMC12247379

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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.