{"title":"疼痛性慢性胰腺炎患者胰腺支架移除后疼痛复发的风险因素和预测模型。","authors":"Tetsuya Takikawa,Kiyoshi Kume,Yu Tanaka,Kazuhiro Kikuta,Yohei Ogata,Waku Hatta,Shin Hamada,Shin Miura,Ryotaro Matsumoto,Takanori Sano,Akira Sasaki,Hidehiro Hayashi,Misako Sakano,Tomoo Manaka,Atsushi Masamune","doi":"10.1097/mpa.0000000000002392","DOIUrl":null,"url":null,"abstract":"OBJECTIVES\r\nEndoscopic pancreatic stenting (EPS) is an effective treatment modality for painful chronic pancreatitis. However, little is known about the factors that cause pain recurrence after stent removal, and there are no clear criteria for stent removal. We aimed to develop a prediction model for pain recurrence by identifying its risk factors.\r\n\r\nMETHODS\r\nWe retrospectively reviewed 95 patients who underwent EPS due to pain for the first time using a single plastic stent between January 2007 and July 2022 at our institute. Univariate and multivariate stepwise Cox proportional hazards models were used to identify the risk factors for pain recurrence, and a prediction model was developed based on the identified factors.\r\n\r\nRESULTS\r\nOf the 95 enrolled patients, 89 (93.7%) achieved pain relief and 73 (76.8%) did stent removal. Of the 69 patients with a follow-up period ≥6 months after stent removal, 29 (42.0%) had pain recurrence during the median follow-up period of 59 months. Serum lipase level (p = 0.034) and pancreatic parenchymal thickness (p = 0.022) on computed tomography or magnetic resonance imaging were identified as independent risk factors for pain recurrence. The prediction model based on the identified factors had good discrimination ability, with a concordance index of 0.74, and could stratify pain recurrence rates.\r\n\r\nCONCLUSIONS\r\nWe identified the risk factors and developed a new prediction model for pain recurrence following stent removal. This model might be useful for decision-making in pancreatic stent management, such as deciding whether to remove a pancreatic stent, continue EPS, or convert to surgery.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk factors and a prediction model for pain recurrence after pancreatic stent removal in painful chronic pancreatitis.\",\"authors\":\"Tetsuya Takikawa,Kiyoshi Kume,Yu Tanaka,Kazuhiro Kikuta,Yohei Ogata,Waku Hatta,Shin Hamada,Shin Miura,Ryotaro Matsumoto,Takanori Sano,Akira Sasaki,Hidehiro Hayashi,Misako Sakano,Tomoo Manaka,Atsushi Masamune\",\"doi\":\"10.1097/mpa.0000000000002392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OBJECTIVES\\r\\nEndoscopic pancreatic stenting (EPS) is an effective treatment modality for painful chronic pancreatitis. However, little is known about the factors that cause pain recurrence after stent removal, and there are no clear criteria for stent removal. We aimed to develop a prediction model for pain recurrence by identifying its risk factors.\\r\\n\\r\\nMETHODS\\r\\nWe retrospectively reviewed 95 patients who underwent EPS due to pain for the first time using a single plastic stent between January 2007 and July 2022 at our institute. Univariate and multivariate stepwise Cox proportional hazards models were used to identify the risk factors for pain recurrence, and a prediction model was developed based on the identified factors.\\r\\n\\r\\nRESULTS\\r\\nOf the 95 enrolled patients, 89 (93.7%) achieved pain relief and 73 (76.8%) did stent removal. Of the 69 patients with a follow-up period ≥6 months after stent removal, 29 (42.0%) had pain recurrence during the median follow-up period of 59 months. Serum lipase level (p = 0.034) and pancreatic parenchymal thickness (p = 0.022) on computed tomography or magnetic resonance imaging were identified as independent risk factors for pain recurrence. The prediction model based on the identified factors had good discrimination ability, with a concordance index of 0.74, and could stratify pain recurrence rates.\\r\\n\\r\\nCONCLUSIONS\\r\\nWe identified the risk factors and developed a new prediction model for pain recurrence following stent removal. This model might be useful for decision-making in pancreatic stent management, such as deciding whether to remove a pancreatic stent, continue EPS, or convert to surgery.\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/mpa.0000000000002392\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/mpa.0000000000002392","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Risk factors and a prediction model for pain recurrence after pancreatic stent removal in painful chronic pancreatitis.
OBJECTIVES
Endoscopic pancreatic stenting (EPS) is an effective treatment modality for painful chronic pancreatitis. However, little is known about the factors that cause pain recurrence after stent removal, and there are no clear criteria for stent removal. We aimed to develop a prediction model for pain recurrence by identifying its risk factors.
METHODS
We retrospectively reviewed 95 patients who underwent EPS due to pain for the first time using a single plastic stent between January 2007 and July 2022 at our institute. Univariate and multivariate stepwise Cox proportional hazards models were used to identify the risk factors for pain recurrence, and a prediction model was developed based on the identified factors.
RESULTS
Of the 95 enrolled patients, 89 (93.7%) achieved pain relief and 73 (76.8%) did stent removal. Of the 69 patients with a follow-up period ≥6 months after stent removal, 29 (42.0%) had pain recurrence during the median follow-up period of 59 months. Serum lipase level (p = 0.034) and pancreatic parenchymal thickness (p = 0.022) on computed tomography or magnetic resonance imaging were identified as independent risk factors for pain recurrence. The prediction model based on the identified factors had good discrimination ability, with a concordance index of 0.74, and could stratify pain recurrence rates.
CONCLUSIONS
We identified the risk factors and developed a new prediction model for pain recurrence following stent removal. This model might be useful for decision-making in pancreatic stent management, such as deciding whether to remove a pancreatic stent, continue EPS, or convert to surgery.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.