[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"pain-management-after-abdominal-surgery\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:pain-management-after-abdominal-surgery":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":18,"enrollmentInfo":19,"targetDuration":22,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":30,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":5},"100654684","a-predictive-model-for-postoperative-analgesic-requirements-after-abdominal-surgery-100654684",false,"NCT07803575","A Predictive Model for Postoperative Analgesic Requirements After Abdominal Surgery","Quantitative Analysis of Postoperative Analgesia Following Abdominal Surgery Using Repeated Time-to-Event Modelling of Rescue Analgesic Administration","Inclusion Criteria:\n\n* Adult patients aged 18-75 years\n* American Society of Anesthesiologists (ASA) physical status I-III\n* Elective open or laparoscopic abdominal surgery under general anaesthesia\n* Expected postoperative ward or high-dependency unit (HDU) stay of ≥ 48 hours\n* Ability to provide written informed consent in Bahasa Malaysia or English\n* Ability to comprehend and self-report pain using the Numerical Rating Scale (NRS, 0-10)\n\nExclusion Criteria:\n\n* Chronic opioid therapy, defined as regular opioid use for ≥ 4 weeks prior to surgery\n* Severe hepatic impairment (Child-Pugh Class B or C) or severe renal impairment (eGFR \\\u003C 30 mL\u002Fmin\u002F1.73 m²)\n* Known allergy or hypersensitivity to morphine or any opioid analgesic\n* Cognitive impairment (documented diagnosis of dementia or delirium), language barrier, or communication deficit precluding reliable NRS self-report\n* Documented history of substance use disorder (including opioid use disorder)\n* Withdrawal of informed consent at any point","ALL","18 Years","75 Years",{"count":20,"type":21},65,"ESTIMATED","2 Days","OBSERVATIONAL","Postoperative pain remains a common challenge after abdominal surgery despite the use of standard multimodal pain management strategies. Poorly controlled pain can delay recovery, limit early mobilisation, reduce patient comfort, and increase the risk of longer-term pain problems.\n\nThis study aims to develop a predictive model to better understand and anticipate patients' postoperative pain relief needs after abdominal surgery. The study will observe adults undergoing elective abdominal surgery and collect information on their pain scores, pain medication use, surgical characteristics, and recovery during the first 48 hours after surgery.\n\nParticipants will receive standard postoperative pain management according to usual clinical practice. The study will analyse patterns of rescue pain medication use, including when and how often additional pain relief is required after surgery. The collected information will be used to develop a model that can predict factors associated with increased pain medication requirements.\n\nThe goal of this research is to improve understanding of individual differences in postoperative pain and provide a foundation for more personalised pain management strategies in the future. The findings may help healthcare providers identify patients who are more likely to require additional pain relief and support the development of safer and more effective approaches to postoperative pain control.",[26,27,28,29],"Postoperative Pain","Postoperative Analgesia","Opioid Analgesic Requirement","Pain Management After Abdominal Surgery",[26,27,31,32,33,34],"Patient-Controlled Analgesia","Repeated Time-to-Event Modelling","Pharmacokinetic-Pharmacodynamic Modelling","Model-Informed Precision Dosing","NOT_YET_RECRUITING","2026-09-01",{"date":38,"type":39},"2026-09-03","ACTUAL",{"date":41,"type":21},"2027-01",{"date":43,"type":21},"2028-06",{"name":45,"class":46},"Chaw Sook Hui","OTHER"]