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Dynamic Prediction of Sleep Protection Demand on the First Postoperative Night and Its Influence on Ward Process After Thoracoscopic Lobectomy or Segmentectomy

NCT07716085 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2026-07-21

No results posted yet for this study

Summary

This study combines retrospective data analysis with a single-center prospective non-interventional cohort study to understand postoperative sleep disturbance on the first night after video-assisted thoracoscopic (VATS) lobectomy or segmentectomy. It mainly wants to answer the question: Can perioperative data collected along the clinical timeline dynamically predict which patients will experience clinically significant sleep disturbance on their first postoperative night? Participants undergoing elective VATS lung resection will have multidimensional data systematically collected from preoperative screening (including PSQI and GAD-7), intraoperative anesthetic parameters, PACU-to-ward handover, pre-bedtime symptom burden, and follow-up through 1 month. Three dynamic prediction models (M0 preoperative screening, M1 early postoperative update, and M2 pre-bedtime main model) will be developed using logistic regression with RCSQ-assessed sleep disturbance as the primary outcome, while an explanatory model will quantify the impact of nighttime disruptions such as intravenous infusions, vital sign monitoring, nursing entries, and awakenings.

Conditions

  • Postoperative Sleep Disturbance

Interventions

PROCEDURE

Video-assisted thoracoscopic (VATS) lobectomy or segmentectomy

Standard elective video-assisted thoracoscopic (VATS) lobectomy or segmentectomy with general anesthesia and one-lung ventilation, performed according to routine institutional protocols. This is an observational study; no experimental modification is made to the surgical procedure, anesthetic management, or postoperative care. Patients receive standard thoracic ERAS care including analgesia, chest tube management, and vital sign monitoring. The procedure provides the clinical context for prospective perioperative data collection to develop dynamic prediction models for first-night sleep disturbance and analyze ward workflow impacts.

Sponsors & Collaborators

  • The Fourth Affiliated Hospital of Zhejiang University School of Medicine

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-07-23
Primary Completion
2027-07-22
Completion
2027-10-30

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07716085 on ClinicalTrials.gov