Battioni Luciano, Scatularo Cristhian E, Belli Sebastián, Costa de Robert Sara, Gatti Ma de Las Nieves, Soracio Guillermina, Lescano Adrián, Giorgini Julio, Pereiro Stella M
Consejo de Insuficiencia Cardiaca e Hipertensión Pulmonar, Sociedad Argentina de Cardiología, Ciudad Autónoma de Buenos Aires, Argentina.
Consejo de Aspectos Psicosociales. Sociedad Argentina de Cardiología, Ciudad Autónoma de Buenos Aires, Argentina.
Arch Cardiol Mex. 2022 Feb 2;93(Supl 6):36-41. doi: 10.24875/ACM.21000276.
to describe predictors of depression in health workers in Argentina during SARS-CoV-2 pandemic and to generate a score for their screening.
Subanalysis of the Argentine ImPPaCTS-SAC.20 Survey, including health workers with major depression according to PHQ 9 (Patient Health Questionnaire 9). Predictors were evaluated by multivariate analysis; a new score was constructed in the referral cohort and its cut-off point was determined. whose quality was evaluated in the total cohort and in the validation cohort.
270 workers (22.1%) had major depression. Predictors of major depression were female gender (p = 0.002), feeling discriminated against (p = 0.001), use of anxiolytics (p = 0.001) and smoking (p = 0.025). A score was prepared with these variables (female gender 2 points, feeling discriminated against 1.5 points, use of anxiolytics 2.5 points and smoking 3 points), with an area under the curve of 0.65 and a cut-off point of 2. In the validation cohort the area under the curve was 0.66. Compared with PHQ 9, the negative predictive value was 84%.
Health workers in Argentina had a high prevalence of major depression during the pandemic, associated with predictive factors. A test was developed to detect those who are at low risk for it.
描述阿根廷卫生工作者在新冠疫情期间抑郁症的预测因素，并生成用于筛查的评分。
对阿根廷ImPPaCTS-SAC.20调查进行亚分析，纳入根据患者健康问卷9（PHQ 9）诊断为重度抑郁症的卫生工作者。通过多变量分析评估预测因素；在参考队列中构建新的评分，并确定其截断点，在总队列和验证队列中评估其质量。
270名工作者（22.1%）患有重度抑郁症。重度抑郁症的预测因素为女性（p = 0.002）、感觉受到歧视（p = 0.001）、使用抗焦虑药（p = 0.001）和吸烟（p = 0.025）。用这些变量编制了一个评分（女性2分、感觉受到歧视1.5分、使用抗焦虑药2.5分、吸烟3分），曲线下面积为0.65，截断点为2。在验证队列中曲线下面积为0.66。与PHQ 9相比，阴性预测值为84%。
阿根廷的卫生工作者在疫情期间重度抑郁症患病率较高，与预测因素相关。开发了一种检测方法来识别低风险人群。
