Characteristics of symptoms and establishment of a predictive model for PICS in mechanically ventilated patients with severe pneumonia: a retrospective study DOI Creative Commons
Jie Ding, Dawei Wang, Xiaoling Zhou

et al.

European journal of medical research, Journal Year: 2025, Volume and Issue: 30(1)

Published: April 10, 2025

The study aimed to characterize the symptoms of post-intensive care unit (ICU) syndrome in mechanically ventilated patients with severe pneumonia and establish a predictive model for this syndrome. A retrospective was conducted on critically ill requiring mechanical ventilation. Patients were categorized into non-ICU-acquired complication (PICS) groups based development ICU-acquired complications. Various demographic, clinical, laboratory, imaging, symptom-related parameters collected analyzed. total 133 including 62 non-ICU-Acquired Complications Group 71 PICS included. Significant differences between observed demographic characteristics, such as age, body mass index (BMI), Acute Physiology Chronic Health Evaluation (APACHE) II score (p < 0.05). Clinical parameters, PaO2/FiO2 (P/F) ratio, white blood cell (WBC) count, serum creatinine, procalcitonin levels, showed statistical significance Ventilation ICU stay laboratory at 72 h, imaging findings, symptom characteristics also displayed significant study's joint exhibited an area under curve (AUC) value 0.786 (95% CI 0.746-0.833), indicating moderate-to-good PICS. findings highlight potential utility multi-faceted integrating identifying risk

Language: Английский

Characteristics of symptoms and establishment of a predictive model for PICS in mechanically ventilated patients with severe pneumonia: a retrospective study DOI Creative Commons
Jie Ding, Dawei Wang, Xiaoling Zhou

et al.

European journal of medical research, Journal Year: 2025, Volume and Issue: 30(1)

Published: April 10, 2025

The study aimed to characterize the symptoms of post-intensive care unit (ICU) syndrome in mechanically ventilated patients with severe pneumonia and establish a predictive model for this syndrome. A retrospective was conducted on critically ill requiring mechanical ventilation. Patients were categorized into non-ICU-acquired complication (PICS) groups based development ICU-acquired complications. Various demographic, clinical, laboratory, imaging, symptom-related parameters collected analyzed. total 133 including 62 non-ICU-Acquired Complications Group 71 PICS included. Significant differences between observed demographic characteristics, such as age, body mass index (BMI), Acute Physiology Chronic Health Evaluation (APACHE) II score (p < 0.05). Clinical parameters, PaO2/FiO2 (P/F) ratio, white blood cell (WBC) count, serum creatinine, procalcitonin levels, showed statistical significance Ventilation ICU stay laboratory at 72 h, imaging findings, symptom characteristics also displayed significant study's joint exhibited an area under curve (AUC) value 0.786 (95% CI 0.746-0.833), indicating moderate-to-good PICS. findings highlight potential utility multi-faceted integrating identifying risk

Language: Английский

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