Evidence map›Paper›PMID 26764398›Full record

ArticleAge and ageing2016

The Multidimensional Prognostic Index predicts in-hospital length of stay in older patients: a multicentre prospective study.

Alberto Pilotto, Daniele Sancarlo, Fabio Pellegrini, Franco Rengo, Niccolò Marchionni, Stefano Volpato, Luigi Ferrucci, FIRI-SIGG Study Group

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Age and ageing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Association Between the Multidimensional Prognostic Index and Mortality During 15 Years of Follow-up in the InCHIANTI Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  7. Article
  8. Article
  9. Executive Function, Dexterity, and Discharge Disposition in Older Intensive Care Unit Survivors.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2020
    Article
  10. Review
  11. Article
  12. Article
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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

8 authors at 5 institutions in 2 countries.

Alberto PilottoDepartment of OrthoGeriatrics, Rehabilitation and Stabilization, E.O. Galliera Hospital, Genova 16128, Italy Gerontology-Geriatrics Research Laboratory, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Daniele SancarloGerontology-Geriatrics Research Laboratory, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Fabio PellegriniUnit of Biostatistics, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Franco RengoGeriatric Department, Università Federico II, Napoli, Italy.
Niccolò MarchionniGeriatric Department, Università di Firenze, Florence, Italy.
Stefano VolpatoGeriatrics Unit, University of Ferrara, Ferrara, Italy.
Luigi FerrucciNational Institute on Aging, Baltimore, MD, USA.
FIRI-SIGG Study Group
Istituti di Ricovero e Cura a Carattere Scientifico · ITEnte Ospedaliero Ospedali Galliera · ITNational Institute on Aging · USUniversity of Ferrara · ITUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundprediction of length of stay (LOS) may be useful to optimise care plans to reduce the negative outcomes related to hospitalisation.

objectiveto evaluate whether the Multidimensional Prognostic Index (MPI), based on a Comprehensive Geriatric Assessment (CGA), may predict LOS in hospitalised older patients.

designprospective multicentre cohort study.

settingtwenty Geriatrics Units.

participantspatients aged 65 and older consecutively admitted to Geriatrics Units. MEASUREMENT: at admission, the CGA-based MPI was calculated by using a validated algorithm that included information on basal and instrumental activities of daily living, cognitive status, nutritional status, the risk of pressures sores, co-morbidity, number of drugs and co-habitation status. According to validated cut-offs, subjects were divided into three groups of risk, i.e. MPI-1 low risk (value ≤0.33), MPI-2 moderate risk (value 0.34-0.66) and MPI-3 severe risk of mortality (value ≥0.67).

resultstwo thousand and thirty-three patients were included; 1,159 were women (57.0%). Age- and sex-adjusted mean LOS in patients divided according to the MPI grade was MPI-1 = 10.1 (95% CI 8.6-11.8), MPI-2 = 12.47 (95% CI 10.7-14.68) and MPI-3 = 13.41 (95% CI 11.5-15.7) days (P for trend <0.001). The overall accuracy of the MPI to predict LOS was good (C-statistic 0.74, 95% CI 0.72-0.76). Moreover, a statistically significant trend of LOS means was found even in patients stratified according to their International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) main diagnosis.

conclusionsthe MPI is an accurate predictor of LOS in older patients hospitalised with the most frequent diseases.

Indexed as

Length of StayActivities of Daily LivingAgedAge FactorsCognitionComorbidityFemaleGeriatric AssessmentHumansItalyMaleMarital StatusNutritional StatusNutrition AssessmentPatient AdmissionPolypharmacylength of staymortalityMultidimensional Prognostic Indexolder people

Identifiers

PMID26764398
PMCPMC4711657
OpenAlexW2284558665

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.