Basic & Clinical Medicine ›› 2026, Vol. 46 ›› Issue (10): 1414-1418.doi: 10.16352/j.issn.1001-6325.2026.10.1414

• Clinical Sciences • Previous Articles     Next Articles

Distribution characteristics and influencing factors of peripheral perfusion index in intensive care unit patients

FANG Ning1, ZHAO Mingxi1, YUE Wenjing2, LIU Xinyi3, JIANG Miao1, FAN Liyi1, LUO Hongbo1*   

  1. 1. Department of Critical Care Medicine; 2. Nursing Department, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730;
    3. School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100144, China
  • Received:2026-04-15 Revised:2026-06-16 Online:2026-10-05 Published:2026-09-18
  • Contact: *luohongbo33@126.com

Abstract: Objective To investigate the distribution characteristics and influencing factors of peripheral perfusion index (PPI) in intensive care unit (ICU) patients. Methods A retrospective study was conducted on 308 patients admitted to the ICU of Peking Union Medical College Hospital in Beijing from October 2023 to March 2024. Based on the stable mean PPI value measured within 1 hour of admission, patients were divided into a decreased perfusion group(PPI<0.6) and a normal perfusion group(PPI≥0.6). Results The incidence of decreased PPI was 21.4%(66/308).Multivariate logistic regression analysis showed that circulatory system diseases,increased heart rate,elevated partial pressure of oxygen(PaO2),mechanical ventilation,and blood purification therapy were independent risk factors for a decreased PPI,while higher dorsal hand temperature and higher arterial blood pH were protective factors(all P<0.05). Conclusions Peripheral perfusion abnormality is relatively common in critically ill patients, and decreased PPI is associated with multiple clinical factors. Dynamic PPI monitoring and comprehensive assessment are recommended for high-risk patients to improve clinical outcomes.

Key words: peripheral perfusion index, intensive care units, risk factors, monitoring

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