Evidence map›Paper›PMID 38321332›Full record

ArticleAging clinical and experimental research2024

Predictors of hospital readmission rate in geriatric patients.

Arianna Bortolani, Francesco Fantin, Anna Giani, Alessandra Zivelonghi, Bruno Pernice, Elena Bortolazzi, Silvia Urbani, Elena Zoico, Rocco Micciolo, Mauro Zamboni

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Frailty and Cognitive Decline in Hospitalized Elderly Patients: Associations with Clinical and Laboratory Parameters.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  6. Article
  7. Observational
  8. 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

10 authors.

Arianna Bortolani *Section of Geriatric Medicine, Department of Surgery, Dentistry, Pediatric and Gynecology, University of Verona, 37126, Verona, Italy. arianna.bortolani@aovr.veneto.it.
Francesco Fantin *Section of Geriatric Medicine, Centre for Medical Sciences - CISMed, Department of Psychology and Cognitive Science, University of Trento, Rovereto (TN), Italy.
Anna GianiSection of Geriatric Medicine, Department of Surgery, Dentistry, Pediatric and Gynecology, University of Verona, 37126, Verona, Italy.
Alessandra ZivelonghiSection of Geriatric Medicine, Department of Surgery, Dentistry, Pediatric and Gynecology, University of Verona, 37126, Verona, Italy.
Bruno PerniceSection of Geriatric Medicine, Department of Surgery, Dentistry, Pediatric and Gynecology, University of Verona, 37126, Verona, Italy.
Elena BortolazziSection of Geriatric Medicine, Department of Surgery, Dentistry, Pediatric and Gynecology, University of Verona, 37126, Verona, Italy.
Silvia UrbaniSection of Geriatric Medicine, Department of Surgery, Dentistry, Pediatric and Gynecology, University of Verona, 37126, Verona, Italy.
Elena ZoicoSection of Geriatric Medicine, Department of Medicine, University of Verona, Verona, Italy.
Rocco MiccioloCentre for Medical Sciences, Department of Psychology and Cognitive Sciences, University of Trento, Trento, Italy.
Mauro ZamboniSection of Geriatric Medicine, Department of Surgery, Dentistry, Pediatric and Gynecology, University of Verona, 37126, Verona, Italy.

Funding

Fondazione Cassa di Risparmio di Verona Vicenza Belluno e Ancona 2017.0089
6 · The paper itself

Abstract

backgroundHospital readmissions among older adults are associated with progressive functional worsening, increased institutionalization and mortality.

aimIdentify the main predictors of readmission in older adults.

methodsWe examined readmission predictors in 777 hospitalized subjects (mean age 84.40 ± 6.77 years) assessed with Comprehensive Geriatric Assessment (CGA), clinical, anthropometric and biochemical evaluations. Comorbidity burden was estimated by Charlson Comorbidity Index (CCI). Median follow-up was 365 days.

results358 patients (46.1%) had a second admission within 365 days of discharge. Estimated probability of having a second admission was 0.119 (95%C.I. 0.095-0.141), 0.158 (95%C.I. 0.131-0.183), and 0.496 (95%C.I. 0.458-0.532) at 21, 30 and 356 days, respectively. Main predictors of readmission at 1 year were length of stay (LOS) > 14 days (p < 0.001), albumin level < 30 g/l (p 0.018), values of glomerular filtration rate (eGFR) < 40 ml/min (p < 0.001), systolic blood pressure < 115 mmHg (p < 0.001), CCI ≥ 6 (p < 0.001), and cardiovascular diagnoses. When the joint effects of selected prognostic variables were accounted for, LOS > 14 days, worse renal function, systolic blood pressure < 115 mmHg, higher comorbidity burden remained independently associated with higher readmission risk. DISCUSSION: Selected predictors are associated with higher readmission risk, and the relationship evolves with time.

conclusionsThis study highlights the importance of performing an accurate CGA, since defined domains and variables contained in the CGA (i.e., LOS, lower albumin and systolic blood pressure, poor renal function, and greater comorbidity burden), when combined altogether, may offer a valid tool to identify the most fragile patients with clinical and functional impairment enhancing their risk of unplanned early and late readmission.

Indexed as

HospitalizationPatient ReadmissionAgedAged, 80 and overAlbuminsComorbidityHumansLength of StayRetrospective StudiesRisk FactorsAlbuminsComprehensive geriatric assessmentHospital readmissionsPredictorsReadmission risk

Identifiers

PMID38321332
PMCPMC10847193

What OpenQuestion holds

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Registered trials

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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.