Luca Pellegrini , Gabriele Di Salvo , Nicola Rizzo Pesci , Gianluca Rosso , Giuseppe Maina , Umberto Albert
{"title":"“什么时候晚?”未治疗疾病持续时间(DUI)预测强迫症(OCD)患者抗ssri治疗的最佳阈值","authors":"Luca Pellegrini , Gabriele Di Salvo , Nicola Rizzo Pesci , Gianluca Rosso , Giuseppe Maina , Umberto Albert","doi":"10.1016/j.jpsychires.2026.01.056","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Obsessive-compulsive disorder (OCD) is a chronic psychiatric condition in which delays to appropriate treatment—known as duration of untreated illness (DUI)—are common and clinically consequential. Although prolonged DUI has been associated with poor response, the specific time point beyond which treatment resistance becomes likely remains unclear.</div></div><div><h3>Methods</h3><div>We analysed 220 adults with DSM-5 OCD consecutively recruited at the University of Turin OCD clinic (2015–2023). DUI was defined as the interval between onset of clinically significant symptoms and the initiation of an adequate selective serotonin reuptake inhibitor (SSRI) trial (moderate-to-high dose for ≥12 weeks). Response was defined as a ≥35 % reduction in Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) score and a Clinical Global Impression–Improvement (CGI-I) rating ≤2. Receiver-operating-characteristic (ROC) analysis identified the DUI cut-off predicting SSRI non-response.</div></div><div><h3>Results</h3><div>Mean age was equal to 34.5 ± 12.4 years; mean DUI was 107.2 ± 116.7 months. Half of the sample (50.4 %) responded to first-line SSRIs. ROC analysis yielded area under the curve = 0.634 (p < 0.001). The optimal cut-off was 42 months, corresponding to a sensitivity of 70.1 % and a specificity of 53.9 %.</div></div><div><h3>Conclusions</h3><div>A DUI exceeding about 3.5 years is associated with a substantially lower probability of SSRI response. These data suggest that a duration of untreated illness beyond forty-two months may predict reduced responsiveness to first-line SSRI therapy in OCD, though replication in larger, multicentric samples is warranted.</div></div>","PeriodicalId":16868,"journal":{"name":"Journal of psychiatric research","volume":"195 ","pages":"Pages 181-184"},"PeriodicalIF":3.6000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"“When is it late”? Optimal threshold for duration of untreated illness (DUI) to predict SSRI-treatment resistance in individuals with obsessive-compulsive disorder (OCD)\",\"authors\":\"Luca Pellegrini , Gabriele Di Salvo , Nicola Rizzo Pesci , Gianluca Rosso , Giuseppe Maina , Umberto Albert\",\"doi\":\"10.1016/j.jpsychires.2026.01.056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Obsessive-compulsive disorder (OCD) is a chronic psychiatric condition in which delays to appropriate treatment—known as duration of untreated illness (DUI)—are common and clinically consequential. Although prolonged DUI has been associated with poor response, the specific time point beyond which treatment resistance becomes likely remains unclear.</div></div><div><h3>Methods</h3><div>We analysed 220 adults with DSM-5 OCD consecutively recruited at the University of Turin OCD clinic (2015–2023). DUI was defined as the interval between onset of clinically significant symptoms and the initiation of an adequate selective serotonin reuptake inhibitor (SSRI) trial (moderate-to-high dose for ≥12 weeks). Response was defined as a ≥35 % reduction in Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) score and a Clinical Global Impression–Improvement (CGI-I) rating ≤2. Receiver-operating-characteristic (ROC) analysis identified the DUI cut-off predicting SSRI non-response.</div></div><div><h3>Results</h3><div>Mean age was equal to 34.5 ± 12.4 years; mean DUI was 107.2 ± 116.7 months. Half of the sample (50.4 %) responded to first-line SSRIs. ROC analysis yielded area under the curve = 0.634 (p < 0.001). The optimal cut-off was 42 months, corresponding to a sensitivity of 70.1 % and a specificity of 53.9 %.</div></div><div><h3>Conclusions</h3><div>A DUI exceeding about 3.5 years is associated with a substantially lower probability of SSRI response. These data suggest that a duration of untreated illness beyond forty-two months may predict reduced responsiveness to first-line SSRI therapy in OCD, though replication in larger, multicentric samples is warranted.</div></div>\",\"PeriodicalId\":16868,\"journal\":{\"name\":\"Journal of psychiatric research\",\"volume\":\"195 \",\"pages\":\"Pages 181-184\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2026-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of psychiatric research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022395626000671\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/1/29 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of psychiatric research","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022395626000671","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/29 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
“When is it late”? Optimal threshold for duration of untreated illness (DUI) to predict SSRI-treatment resistance in individuals with obsessive-compulsive disorder (OCD)
Background
Obsessive-compulsive disorder (OCD) is a chronic psychiatric condition in which delays to appropriate treatment—known as duration of untreated illness (DUI)—are common and clinically consequential. Although prolonged DUI has been associated with poor response, the specific time point beyond which treatment resistance becomes likely remains unclear.
Methods
We analysed 220 adults with DSM-5 OCD consecutively recruited at the University of Turin OCD clinic (2015–2023). DUI was defined as the interval between onset of clinically significant symptoms and the initiation of an adequate selective serotonin reuptake inhibitor (SSRI) trial (moderate-to-high dose for ≥12 weeks). Response was defined as a ≥35 % reduction in Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) score and a Clinical Global Impression–Improvement (CGI-I) rating ≤2. Receiver-operating-characteristic (ROC) analysis identified the DUI cut-off predicting SSRI non-response.
Results
Mean age was equal to 34.5 ± 12.4 years; mean DUI was 107.2 ± 116.7 months. Half of the sample (50.4 %) responded to first-line SSRIs. ROC analysis yielded area under the curve = 0.634 (p < 0.001). The optimal cut-off was 42 months, corresponding to a sensitivity of 70.1 % and a specificity of 53.9 %.
Conclusions
A DUI exceeding about 3.5 years is associated with a substantially lower probability of SSRI response. These data suggest that a duration of untreated illness beyond forty-two months may predict reduced responsiveness to first-line SSRI therapy in OCD, though replication in larger, multicentric samples is warranted.
期刊介绍:
Founded in 1961 to report on the latest work in psychiatry and cognate disciplines, the Journal of Psychiatric Research is dedicated to innovative and timely studies of four important areas of research:
(1) clinical studies of all disciplines relating to psychiatric illness, as well as normal human behaviour, including biochemical, physiological, genetic, environmental, social, psychological and epidemiological factors;
(2) basic studies pertaining to psychiatry in such fields as neuropsychopharmacology, neuroendocrinology, electrophysiology, genetics, experimental psychology and epidemiology;
(3) the growing application of clinical laboratory techniques in psychiatry, including imagery and spectroscopy of the brain, molecular biology and computer sciences;