共 50 条
Use of different anticholinergic scales and their correlation with anticholinergic symptom burden in a cohort of people living with HIV
被引:3
|作者:
Mazzitelli, Maria
[1
]
Trunfio, Mattia
[2
,3
,4
,5
]
Coin, Alessandra
[6
]
Sasset, Lolita
[1
]
Farina, Jacopo
[6
]
Brundu, Monica
[1
]
Scaglione, Vincenzo
[1
]
Devita, Maria
[7
]
Sergi, Giuseppe
[6
]
Cattelan, Anna M.
[1
,8
]
机构:
[1] Padua Univ Hosp, Infect & Trop Dis Unit, I-35128 Padua, Italy
[2] Univ Turin, Amedeo Savoia Hosp, Dept Med Sci, Infect Dis Unit, I-10149 Turin, Italy
[3] Univ Calif San Diego, Sch Med, HIV Neurobehav Res Program, San Diego, CA USA
[4] Univ Calif San Diego, Sch Med, Dept Neurosci, San Diego, CA USA
[5] Univ Calif San Diego, Sch Med, Dept Psychiat, San Diego, CA USA
[6] Padua Univ Hosp, Geriatr Unit, I-35128 Padua, Italy
[7] Univ Padua, Gen Psychol Dept, I-35131 Padua, Italy
[8] Univ Padua, Dept Mol Med, I-35128 Padua, Italy
关键词:
OLDER-ADULTS;
COGNITIVE IMPAIRMENT;
BENZODIAZEPINE USE;
ELDERLY-PEOPLE;
MEDICATION USE;
QT INTERVAL;
RISK;
POLYPHARMACY;
DRUGS;
PROLONGATION;
D O I:
10.1093/jac/dkad348
中图分类号:
R51 [传染病];
学科分类号:
100401 ;
摘要:
Objectives: How to detect the clinical impact of anticholinergic (AC) burden in people with HIV (PWH) remains poorly investigated. We cross-sectionally described the prevalence and type of AC signs/symptoms and the screening accuracy of three AC scales in detecting their presence in a modern cohort of PWH. Methods: We calculated AC Burden Scale (ABS), AC Risk Score (ARS) and AC Drug Score (ADS) in 721 adult PWH and recorded the presence of AC signs/symptoms over the previous 3 months. High AC risk was defined by ABS score >= 2, and ARS or ADS score >= 3. Comparisons among the scale were based on Cohen's inter-rater agreement, and their screening accuracy was assessed by receiver operating characteristics (ROC) curves and performance measures. Results: We enrolled 721 PWH, of whom 72.0% of participants were male; the median age was 53 years, and 164 participants (22.7%) were on at least one AC drug. Among these, 28.6% experienced at least one AC sign/ symptom. Agreement in AC risk classification was substantial only between ARS and ADS (k = 0.6). Lower and higher risk of AC signs/symptoms was associated with dual regimens [adjusted OR (aOR) = 0.12 versus three-drug regimens, P = 0.002] and increasing number of AC drugs (aOR = 12.91, P < 0.001). Depression and COPD were also associated with higher risk of AC signs/symptoms in analysis unadjusted for number of AC drugs. ABS and ADS showed the best area under the ROC curve (AUROC) of 0.85 (0.78-0.92) and 0.84 (0.75-0.92; P < 0.001 for both). However, at the cut-off used for the general population, the sensitivity of all three scales was very low (34.0%, 46.8% and 46.8%). Conclusions: Up to one-fourth of participants in our cohort were exposed to at least one AC drug, and among them AC signs/symptoms affected more than one-fourth. Both polypharmacy (as number of antiretrovirals and of co-medications with AC properties) and to a lesser extent specific comorbidities shaped the risk of developing AC signs/symptoms. Sensitive screenings for AC risk in PWH should prefer ABS or ADS based on lower cut-offs than those suggested for the general population.
引用
收藏
页码:66 / 77
页数:12
相关论文