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Multicenter Study
. 2018 Apr 19;13(4):e0195725.
doi: 10.1371/journal.pone.0195725. eCollection 2018.

Derivation and internal validation of a mortality risk index for aged people living with HIV: The Dat'AIDS score

Affiliations
Multicenter Study

Derivation and internal validation of a mortality risk index for aged people living with HIV: The Dat'AIDS score

Maxime Hentzien et al. PLoS One. .

Abstract

Objective: The objective was to develop a multivariable prognostic index for overall mortality over a five-year span integrating classical HIV biomarkers and comorbidities in people living with HIV (PLHIV) aged 60 or older.

Design: Prospective multicenter cohort study from the French Dat'AIDS cohort.

Methods: All HIV-1 infected patients aged 60 years or older on 1st January 2008 were included. Sociodemographic data, CD4 cell count, CD4 nadir, HIV viral load, history of comorbidities, hepatitis co-infections and laboratory parameters at baseline were considered as potential prognostic variables. Primary outcome was all-cause mortality.

Results: Among 1415 patients included, we derived a score comprising the following predictors: Age (65-74: 1 point; ≥75: 8 points), CD4 cell count (200-349: 3 points; <200: 6 points), non-HIV related cancer (6 points), cardiovascular disease (8 points), estimated glomerular filtration rate (30-59 mL/min/1.73m2: 5 points; <30mL/min/1.73m2: 16 points), cirrhosis (13 points), low body mass index (<18.5 kg/m2, 10 points), anemia (6 points). Mean observed score was 7.0 ± 8.0 and ranged from 0 to 45. Score categories defined 4 risk groups for mortality: low, moderate, high and very high risk (5-year survival probability 0.95 (95%CI[0.93-0.97]), 0.90 (95%CI[0.87-0.92]), 0.77 (95%CI[0.68-0.84]) and 0.54 (95%CI[0.43-0.63]) respectively). The score showed good discrimination (C-statistic = 0.76) and calibration.

Conclusions: We propose a multivariable prognostic score for mortality among PLHIV aged 60 or over, who will become the predominant population in future years in western populations. It could be a useful tool for research, for developing preventive and treatment strategies according to risk group, and for risk assessment by clinicians.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Five-year Kaplan-Meier survival probabilities among each risk group.
Fig 2
Fig 2. Assessment of model calibration: Observed (Kaplan Meier, black) versus predicted (Cox, gray) survival curves.

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