Chest pain unit implementation in a multidisciplinary hospital: a retrospective observational study

Frontiers in Cardiovascular Medicine, 2026

Толық мәтін Ашық қол жеткізу: Gold Метадеректер (CSL-JSON)
DOI 10.3389/fcvm.2026.1762236
Деректер сенімділігі 70 орташа
Бұл баға қалай есептеледі

Ол жазбаның өзінің тексерілетін белгілерінен құралады: мақаланың DOI-і бар ма, оның деректерін қанша тәуелсіз дереккөз растады, міндетті өрістер толтырылған ба және соңғы растау қаншалықты жаңа. Дереккөздер арасындағы алшақтық пен идентификатордың болмауы бағаны төмендетеді. 80-нен бастап мән жазбаның қосымша тексерусіз жарияланғанын, 60-тан 79-ға дейін — оның сенімділігі төмен күйде жарияланғанын және қолмен тексеру ұсынылатынын білдіреді. Редактор қолмен тексерген жазбаны қайта есептеу 90-нан төмен түсірмейді. Бұл — мақаланың өзіне емес, ол туралы деректерімізге берілген баға.

Аңдатпа

Background Acute chest pain is a common reason for emergency department visits and requires rapid differentiation between life-threatening and non-life-threatening conditions. Chest Pain Units (CPUs) were developed to improve diagnostic efficiency and optimize management of patients with suspected acute coronary syndrome (ACS). This study evaluated clinical and healthcare utilization patterns before and after CPU implementation in a multidisciplinary hospital in Kazakhstan. Methods A retrospective case–control study was conducted at a 250-bed tertiary hospital. Two consecutive periods were analyzed: pre-implementation (2015–2017) and post-implementation (2018–2020) of CPU. Patients presenting before CPU implementation received standard emergency department care (non-CPU group, n = 1,595), whereas those presenting after implementation were managed in the CPU ( n = 2,121). All consecutive patients with suspected ACS (ICD-10 I20–I22) were included (total n = 3,716). Final diagnoses were based on discharge ICD-10 coding. The CPU protocol included standardized assessment, electrocardiography, serial cardiac troponin measurements, and HEART pathway risk stratification. Outcomes included invasive procedures, mortality, hospital length of stay, and direct treatment costs. Results Baseline characteristics showed a higher proportion of men in both groups ( p = 0.015), with no significant age difference ( p = 0.066). The CPU group had a higher PCI rate (OR 1.43, 95% CI 1.26–1.64, p < 0.001), whereas diagnostic angiography was more frequent in the non-CPU group (OR 0.76, 95% CI 0.67–0.87, p = 0.02). No significant difference was observed for CABG ( p = 0.07). AMI diagnoses were more frequent in the CPU group (37.6% vs. 25.1%; OR 1.80, 95% CI 1.57–2.09, p < 0.001), while unstable angina was more common in the non-CPU group (OR 0.50, 95% CI 0.48–0.64, p < 0.001). Mortality did not differ significantly between groups (2.4% vs. 2.2%, p = 0.543). Direct treatment costs were significantly higher following CPU implementation ( p < 0.001). Conclusion CPU implementation was associated with higher rates of AMI identification and increased PCI use compared with the traditional emergency department approach. CPU-based pathways may improve diagnostic accuracy and management patterns in patients with suspected ACS.