Veysel Karani Baris, Wenyu Song, Min-Jeoung Kang, Luwei Liu, Graham Lowenthal, Luciana Schleder Goncalves, Tanya Martel, Sandy Cho, Diane L Carroll, Debra Furlong, Wadia Gilles-Fowler, Lisa Herlihy, Beth Melanson, Jacqueline Massaro, Lori D Morrow, Paula Wolski, Patricia C Dykes
{"title":"共同发生的压力损伤模式:使用真实世界临床记录的数据驱动研究。","authors":"Veysel Karani Baris, Wenyu Song, Min-Jeoung Kang, Luwei Liu, Graham Lowenthal, Luciana Schleder Goncalves, Tanya Martel, Sandy Cho, Diane L Carroll, Debra Furlong, Wadia Gilles-Fowler, Lisa Herlihy, Beth Melanson, Jacqueline Massaro, Lori D Morrow, Paula Wolski, Patricia C Dykes","doi":"10.1089/wound.2025.0019","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> This study aimed to investigate patterns and risk factors associated with co-occurring pressure injuries (PrIs) using real-world clinical data. <b>Approach:</b> This retrospective cohort study analyzed electronic health records (EHRs) of adult patients with PrIs from 2015 to 2023 across five hospitals within a large U.S. health care system. An EHR-based phenotype-a set of algorithmic rules using structured clinical data-was developed and validated to identify patients with co-occurring PrIs, enabling classification of all patients in the study cohort into either single-occurring or co-occurring PrI groups. The accuracy of the co-occurring PrI phenotype was assessed through chart review. Univariate analyses and binary logistic regression were employed to identify risk factors associated with co-occurring PrIs. All findings are reported in accordance with the STROBE checklist. <b>Results:</b> Among 18,195 patients with at least one PrI record, 4,415 (24.3%) had co-occurring PrIs. The phenotype demonstrated high accuracy (accuracy = 0.96). Pattern analysis showed a direct association between the number of PrIs and severe-stage injuries. Logistic regression revealed that severe PrIs (odds ratio [OR] 3.47; 95% confidence interval [CI]: 3.23-3.74) were most strongly associated with co-occurring PrIs, followed by Black or African American race (OR: 1.45; 95% CI: 1.14-1.84) and spinal cord injury (OR: 1.32; 95% CI: 1.14-1.52). <b>Innovation:</b> This study introduces a validated EHR-based phenotype for identifying co-occurring PrIs. It reveals a direct link between co-occurring PrIs and injury severity, as well as unique risk factors associated with co-occurring PrIs. <b>Conclusions:</b> Co-occurring PrIs are prevalent and strongly associated with severe PrIs. This study also revealed distinct occurrence patterns, with injury severity increasing as the number of co-occurring PrIs rises. The findings from this study emphasize the need for targeted risk assessment and prevention efforts for co-occurring PrIs.</p>","PeriodicalId":7413,"journal":{"name":"Advances in wound care","volume":" ","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Patterns of Co-Occurring Pressure Injuries: A Data-Driven Study Using Real-World Clinical Records.\",\"authors\":\"Veysel Karani Baris, Wenyu Song, Min-Jeoung Kang, Luwei Liu, Graham Lowenthal, Luciana Schleder Goncalves, Tanya Martel, Sandy Cho, Diane L Carroll, Debra Furlong, Wadia Gilles-Fowler, Lisa Herlihy, Beth Melanson, Jacqueline Massaro, Lori D Morrow, Paula Wolski, Patricia C Dykes\",\"doi\":\"10.1089/wound.2025.0019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objective:</b> This study aimed to investigate patterns and risk factors associated with co-occurring pressure injuries (PrIs) using real-world clinical data. <b>Approach:</b> This retrospective cohort study analyzed electronic health records (EHRs) of adult patients with PrIs from 2015 to 2023 across five hospitals within a large U.S. health care system. An EHR-based phenotype-a set of algorithmic rules using structured clinical data-was developed and validated to identify patients with co-occurring PrIs, enabling classification of all patients in the study cohort into either single-occurring or co-occurring PrI groups. The accuracy of the co-occurring PrI phenotype was assessed through chart review. Univariate analyses and binary logistic regression were employed to identify risk factors associated with co-occurring PrIs. All findings are reported in accordance with the STROBE checklist. <b>Results:</b> Among 18,195 patients with at least one PrI record, 4,415 (24.3%) had co-occurring PrIs. The phenotype demonstrated high accuracy (accuracy = 0.96). Pattern analysis showed a direct association between the number of PrIs and severe-stage injuries. Logistic regression revealed that severe PrIs (odds ratio [OR] 3.47; 95% confidence interval [CI]: 3.23-3.74) were most strongly associated with co-occurring PrIs, followed by Black or African American race (OR: 1.45; 95% CI: 1.14-1.84) and spinal cord injury (OR: 1.32; 95% CI: 1.14-1.52). <b>Innovation:</b> This study introduces a validated EHR-based phenotype for identifying co-occurring PrIs. It reveals a direct link between co-occurring PrIs and injury severity, as well as unique risk factors associated with co-occurring PrIs. <b>Conclusions:</b> Co-occurring PrIs are prevalent and strongly associated with severe PrIs. This study also revealed distinct occurrence patterns, with injury severity increasing as the number of co-occurring PrIs rises. The findings from this study emphasize the need for targeted risk assessment and prevention efforts for co-occurring PrIs.</p>\",\"PeriodicalId\":7413,\"journal\":{\"name\":\"Advances in wound care\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in wound care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1089/wound.2025.0019\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DERMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in wound care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/wound.2025.0019","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DERMATOLOGY","Score":null,"Total":0}
Patterns of Co-Occurring Pressure Injuries: A Data-Driven Study Using Real-World Clinical Records.
Objective: This study aimed to investigate patterns and risk factors associated with co-occurring pressure injuries (PrIs) using real-world clinical data. Approach: This retrospective cohort study analyzed electronic health records (EHRs) of adult patients with PrIs from 2015 to 2023 across five hospitals within a large U.S. health care system. An EHR-based phenotype-a set of algorithmic rules using structured clinical data-was developed and validated to identify patients with co-occurring PrIs, enabling classification of all patients in the study cohort into either single-occurring or co-occurring PrI groups. The accuracy of the co-occurring PrI phenotype was assessed through chart review. Univariate analyses and binary logistic regression were employed to identify risk factors associated with co-occurring PrIs. All findings are reported in accordance with the STROBE checklist. Results: Among 18,195 patients with at least one PrI record, 4,415 (24.3%) had co-occurring PrIs. The phenotype demonstrated high accuracy (accuracy = 0.96). Pattern analysis showed a direct association between the number of PrIs and severe-stage injuries. Logistic regression revealed that severe PrIs (odds ratio [OR] 3.47; 95% confidence interval [CI]: 3.23-3.74) were most strongly associated with co-occurring PrIs, followed by Black or African American race (OR: 1.45; 95% CI: 1.14-1.84) and spinal cord injury (OR: 1.32; 95% CI: 1.14-1.52). Innovation: This study introduces a validated EHR-based phenotype for identifying co-occurring PrIs. It reveals a direct link between co-occurring PrIs and injury severity, as well as unique risk factors associated with co-occurring PrIs. Conclusions: Co-occurring PrIs are prevalent and strongly associated with severe PrIs. This study also revealed distinct occurrence patterns, with injury severity increasing as the number of co-occurring PrIs rises. The findings from this study emphasize the need for targeted risk assessment and prevention efforts for co-occurring PrIs.
期刊介绍:
Advances in Wound Care rapidly shares research from bench to bedside, with wound care applications for burns, major trauma, blast injuries, surgery, and diabetic ulcers. The Journal provides a critical, peer-reviewed forum for the field of tissue injury and repair, with an emphasis on acute and chronic wounds.
Advances in Wound Care explores novel research approaches and practices to deliver the latest scientific discoveries and developments.
Advances in Wound Care coverage includes:
Skin bioengineering,
Skin and tissue regeneration,
Acute, chronic, and complex wounds,
Dressings,
Anti-scar strategies,
Inflammation,
Burns and healing,
Biofilm,
Oxygen and angiogenesis,
Critical limb ischemia,
Military wound care,
New devices and technologies.