Seven-day mortality can be predicted in medical patients by blood pressure, age, respiratory rate, loss of independence, and peripheral oxygen saturation (the PARIS score) : a prospective cohort study with external validation

BACKGROUND: Most existing risk stratification systems predicting mortality in emergency departments or admission units are complex in clinical use or have not been validated to a level where use is considered appropriate. We aimed to develop and validate a simple system that predicts seven-day mortality of acutely admitted medical patients using routinely collected variables obtained within the first minutes after arrival.

METHODS AND FINDINGS: This observational prospective cohort study used three independent cohorts at the medical admission units at a regional teaching hospital and a tertiary university hospital and included all adult (≥ 15 years) patients. Multivariable logistic regression analysis was used to identify the clinical variables that best predicted the endpoint. From this, we developed a simplified model that can be calculated without specialized tools or loss of predictive ability. The outcome was defined as seven-day all-cause mortality. 76 patients (2.5%) met the endpoint in the development cohort, 57 (2.0%) in the first validation cohort, and 111 (4.3%) in the second. Systolic blood Pressure, Age, Respiratory rate, loss of Independence, and peripheral oxygen Saturation were associated with the endpoint (full model). Based on this, we developed a simple score (range 0-5), ie, the PARIS score, by dichotomizing the variables. The ability to identify patients at increased risk (discriminatory power and calibration) was excellent for all three cohorts using both models. For patients with a PARIS score ≥ 3, sensitivity was 62.5-74.0%, specificity 85.9-91.1%, positive predictive value 11.2-17.5%, and negative predictive value 98.3-99.3%. Patients with a score ≤ 1 had a low mortality (≤ 1%); with 2, intermediate mortality (2-5%); and ≥ 3, high mortality (≥ 10%).

CONCLUSIONS: Seven-day mortality can be predicted upon admission with high sensitivity and specificity and excellent negative predictive values.

Medienart:	E-Artikel

Erscheinungsjahr:	2015
Erschienen:	2015

Enthalten in:	Zur Gesamtaufnahme - volume:10
Enthalten in:	PloS one - 10(2015), 4 vom: 15., Seite e0122480

Sprache:	Englisch

Beteiligte Personen:	Brabrand, Mikkel [VerfasserIn] Lassen, Annmarie Touborg [VerfasserIn] Knudsen, Torben [VerfasserIn] Hallas, Jesper [VerfasserIn]

Links:	Volltext

Themen:	Journal Article Oxygen Research Support, Non-U.S. Gov't S88TT14065 Validation Study

Anmerkungen:	Date Completed 28.03.2016 Date Revised 09.04.2022 published: Electronic-eCollection Citation Status MEDLINE

doi:	10.1371/journal.pone.0122480

funding:
Förderinstitution / Projekttitel:

PPN (Katalog-ID):	NLM247993174