Aujoulat Paul, Le Reste Jean Yves, Chiron Benoit, Beurton-Couraud Lucas, Barais Marie, Barraine Pierre, Guillou-Landreat Morgane, Le Goff Delphine
Department of General Practice, University of Western Brittany, 22, av. Camille Desmoulins, Brest, FR 29238, France.
ER 7479 SPURBO, University of Western Brittany, 22, av. Camille Desmoulins, Brest, FR 29238, France.
Prim Health Care Res Dev. 2025 Jul 18;26:e60. doi: 10.1017/S1463423625100157.
The European General Practitioners Research Network (EGPRN) designed and validated a comprehensive definition of multimorbidity using a systematic literature review and qualitative research throughout Europe. Identification of risk factors for decompensation would be an interesting challenge for family physicians (FPs) in the management of multimorbid patients. The aim was to assess which items from the EGPRN's definition of multimorbidity could identify outpatients at risk of decompensation at 24 months.
A cohort study. About 120 multimorbid patients from Western Brittany, France, were included by general practitioners between 2014 and 2015. The status "decompensation" (hospitalization of at least 7 days or death) or "nothing to report (NTR)" was collected at 24 months of follow-up.
At 24 months, there were 44 patients (36.6%) in the decompensation group. Two variables were significant risk factors for decompensation: the number of visits to the FP per year (HR = 1.06 [95% CI 1.03-1.10], < 0.001) and the total number of diseases (HR = 1.12 [95% CI 1.013-1.33], = 0.039).
FPs should be warned that a high number of consultations and a high total number of diseases may predict death or hospitalization. These results need to be confirmed by large-scale cohorts in primary care.
欧洲全科医生研究网络(EGPRN)通过在全欧洲进行系统的文献综述和定性研究,设计并验证了一个关于多病共存的综合定义。识别失代偿的风险因素对家庭医生管理多病共存患者而言将是一项有趣的挑战。目的是评估EGPRN的多病共存定义中的哪些项目能够识别出在24个月时有失代偿风险的门诊患者。
一项队列研究。2014年至2015年期间,法国布列塔尼西部的全科医生纳入了约120名多病共存患者。在随访24个月时收集“失代偿”(至少住院7天或死亡)或“无异常情况报告(NTR)”的状态。
在24个月时,失代偿组有44名患者(36.6%)。两个变量是失代偿的显著风险因素:每年看家庭医生的次数(HR = 1.06 [95% CI 1.03 - 1.10],P < 0.001)和疾病总数(HR = 1.12 [95% CI 1.013 - 1.33],P = 0.039)。
应提醒家庭医生,大量的就诊次数和较多的疾病总数可能预示着死亡或住院。这些结果需要在初级保健的大规模队列研究中得到证实。