- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT07729891
Real-time Evaluation and Continuous Observation of Vital Signs for Enhanced Recovery: a Study for the Early Identification of Complications in the Surgical Ward Following Surgery in Patients Not Eligible for Intensive Care Admission. (RECOVER)
Real-time Evaluation and Continuous Observation of Vital Signs for Enhanced Recovery
This study aims to evaluate whether continuous vital sign monitoring with wearable devices can help detect postoperative complications in surgical ward earlier than standard hospital monitoring. In particular, the goal of this observational study is to evaluate if the wireless wearable devices Portrait Mobile (GE Healthcare) can detect early signs of complications after major urologic surgery in adults who are not eligible for intensive care unit admission. The main questions it aims to answer are:
- Can continuous monitoring of vital signs (heart rate, breathing rate, blood oxygen) detect health problems earlier than standard nurse checks in the urology ward?
- How many times do participants' vital signs change in ways that suggest a complication is developing during the first days after surgery?
- Does the vital sign trend and/or the deviation from patients' baseline suggest a complication is developing during the first days after surgery?
- Does continuous monitoring help healthcare providers intervene before patients become critically ill thus reducing complications burden or severity and reducing unplanned intensive care admission? Participants in the intervention cohort will wear a wireless patch-like device on their chest that continuously tracks their heart rate, breathing rate, and blood oxygen levels. The device sends this information to hospital staff through a secure wireless connection while participants recover in the regular urology ward after surgery. Participants in the intervention cohort will wear the device for 3 days after surgery or until they leave the hospital. Healthcare providers will receive alerts if vital signs change in ways that suggest a complication may be developing. This may help providers treat problems earlier and prevent patients from becoming critically ill. All participants will also receive standard post-surgical care, including regular nurse checks of vital signs.
연구 개요
상태
상세 설명
The RECOVER study evaluates the use of continuous wearable monitoring in surgical ward for the early detection of postoperative complications in patients recovering after major surgery. The study begins with the evaluation of urologic surgery. It focuses on whether continuous measurement of vital signs in the surgical ward can identify clinical deterioration and postoperative complications earlier than routine postoperative surveillance alone: postoperative complications are often preceded by changes in vital signs and may develop during the first days after surgery, when patients are usually monitored intermittently in the ward. Continuous wireless monitoring is intended to provide earlier recognition of respiratory and hemodynamic deterioration while patients recover outside the operating room and outside intensive care.
The main objective is to assess whether continuous monitoring of vital signs can detect early signs of medical or surgical postoperative complications after moderate-to-high complexity urologic surgery performed under general anesthesia. The protocol is particularly focused on identifying episodes of desaturation, tachypnea, hemodynamic instability, and persistent deviation of vital signs from patient's baseline values during the postoperative period.
Patient enrollment takes place in the Urology ward before the scheduled operation. During the preoperative anesthesiology evaluation, the anesthesiologist provides study information and asks the patient to participate by signing informed consent and personal data processing forms. This enrollment process is maintained in both patient pathways described in the protocol.
For patients managed with continuous monitoring, the wearable system is applied on the evening before surgery so that baseline vital sign values can be collected under resting conditions. Monitoring is interrupted before transfer to the operating room and restarted after the patient returns from surgery to the ward. The patient then wears the system for at least 72 hours after surgery, and the device does not replace standard postoperative monitoring.
The wearable platform used in the protocol is the Portrait Mobile® system by GE HealthCare. It continuously records respiratory rate, oxygen saturation, and heart rate, while blood pressure and EKG continues to be measured intermittently according to usual ward practice in order to maintain the non-intensive care settings and the actual patient-nurse ratio. Data are transmitted through the hospital Wi-Fi network to a dedicated monitoring infrastructure, where alarms can be visualized on the ward monitoring station.
Alarm thresholds are predefined by the investigator using values derived from the National Early Warning System Score. These thresholds include respiratory rate below 11 or above 21 breaths per minute, oxygen saturation below 95%, and heart rate below 50 or above 91 beats per minute. In addition to threshold-based events, the protocol evaluates persistent deviation from baseline, defined as a change greater than 20% for at least 24 hours, in order to capture clinically meaningful trends rather than isolated abnormal values.
When an alarm is generated, ward nursing staff are asked to determine whether the alert is appropriate or represents a false positive. They also record whether the patient is at rest or moving at the time of the alert, allowing the investigators to assess device performance under real clinical conditions. Subsequent clinical actions, including review by the ward physician, on-call physician activation, or request for anesthesiology consultation, are reconstructed from nursing handover and the clinical chart.
For patients managed with usual postoperative surveillance alone, enrollment still occurs during the preoperative anesthesiology assessment and clinical data are collected after informed consent is obtained. These patients receive standard ward monitoring without wearable continuous monitoring, and their postoperative course is documented for comparison of clinical events and outcomes.
The primary endpoints are the number of desaturation events, tachypnea events, and hemodynamic instability events. Secondary endpoints include false positive rate, number of physician alerts, number of requests for intensive care consultation, unplanned intensive care admission directly from the operating area, transfer to intensive care during postoperative ward stay, postoperative complications, re-surgery, correlation between parameter trends and outcomes, hospital length of stay, barriers to rehabilitation, patient satisfaction, and integration of the system with the hospital IT infrastructure.
All complications will be recorded in the case report form and graded according to the Clavien-Dindo classification. Collected data include baseline patient characteristics, average preoperative vital sign values, diagnosis, type of surgery, intraoperative data, continuous monitoring data, postoperative clinical course, pain, functional recovery, total hospital stay, ICU stay, and patient satisfaction with the monitoring system.
The system is not expected to expose patients to additional risk and does not interfere with the usual diagnostic and therapeutic pathway. Wireless wearable monitoring should not negatively affect mobilization, rehabilitation, or functional recovery, which is relevant because preservation of postoperative recovery is one of the practical concerns addressed by the study.
연구 유형
등록 (추정된)
연락처 및 위치
연구 연락처
- 이름: Valentina Bellini
- 전화번호: +393388284629
- 이메일: bellini.vnt@gmail.com
연구 연락처 백업
- 이름: Matteo Panizzi
- 전화번호: +393494156020
- 이메일: matteo.panizzi@unipr.it
연구 장소
-
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Parma
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Parma, Parma, 이탈리아, 43126
- 모병
- 2^ Anestesia, Rianimazione, Terapia Intensiva - Azienda Ospedaliero Universitaria di Parma
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연락하다:
- Valentina Bellini
- 전화번호: +393388284629
- 이메일: bellini.vnt@gmail.com
-
연락하다:
- Matteo Panizzi
- 전화번호: +393494156020
- 이메일: matteo.panizzi@unipr.it
-
수석 연구원:
- Valentina Bellini
-
부수사관:
- Matteo Panizzi
-
-
참여기준
자격 기준
공부할 수 있는 나이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
샘플링 방법
연구 인구
설명
Inclusion Criteria:
- Ability to give informed consent and consent to the processing of personal data by signing the relevant forms;
- Aged over 18 years old
- Medium-to-high complexity urological surgery without the need for post-operative monitoring in the Intensive Care Unit
- Surgery performed under general anaesthesia
- Discharge to the ward is scheduled upon leaving the operating theatre
Exclusion Criteria:
- Refusal or inability to consent to participation
- Patients under 18 years old
- Planned admission to Post-Operative Intensive Care Unit after the surgery
- Unplanned admission to the Post-Operative Intensive Care Unit at the end of the surgery
- Anaesthetic technique other than general anaesthesia.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
코호트 및 개입
그룹/코호트 |
개입 / 치료 |
|---|---|
|
Standard intermittent monitoring (Control)
100 patients receiving standard intermittent nurse vital sign check
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|
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Wearable device continuous vital sign monitoring (Intervention)
50 patients receiving wearable device continuous vital sign monitoring with Portrait Mobile (GE Healthcare).
Parameters monitored: Heart Rate, SpO2, Respiratory Rate.
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The wearable system is applied on the evening before surgery so that baseline vital sign values can be collected under resting conditions.
Monitoring is interrupted before transfer to the operating room and restarted after the patient returns from surgery to the ward.
The patient then wears the system for at least 72 hours after surgery.
Respiratory rate, oxygen saturation, and heart rate are continuously collected, while blood pressure and EKG continues to be measured intermittently according to usual ward practice in order to maintain the non-intensive care settings and the actual patient-nurse ratio.
Alarm thresholds are predefined by the investigator using values derived from NEWS and alarms calibrated over baseline parameters.
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Number of event of desaturation
기간: 72 hours after the surgery
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An 'event' among the primary outcomes will be those used by the National Early Warning System Score (NEWS: Respiratory rate <11 and >21 breaths/min; SpO₂ <95%; Heart rate <50 bpm and >91 bpm)
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72 hours after the surgery
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Number of event of tachypnoea or bradypnoea
기간: 72 hours after the surgery
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An 'event' among the primary outcomes will be those used by the National Early Warning System Score (NEWS: Respiratory rate <11 and >21 breaths/min; SpO₂ <95%; Heart rate <50 bpm and >91 bpm)
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72 hours after the surgery
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Number of event of haemodinamic instability
기간: 72 hours after the surgery
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An 'event' among the primary outcomes will be those used by the National Early Warning System Score (NEWS: Respiratory rate <11 and >21 breaths/min; SpO₂ <95%; Heart rate <50 bpm and >91 bpm)
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72 hours after the surgery
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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False-positive rate
기간: 72 hours after the surgery
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Number of alarms triggered without a real Event
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72 hours after the surgery
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Number of on-call doctor call-outs
기간: 72 hours after the surgery
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Nurse activation of the medical staff of the surgery ward
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72 hours after the surgery
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Number of requests for Anesthesia consultation
기간: 72 hours after surgery
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Activation of Hospital medical emergency team
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72 hours after surgery
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Unscheduled direct admission to the Intensive Care Unit from the operating theatre and unplanned transfer to the Intensive Care Unit during the post-operative period (from the surgical ward)
기간: 72 hours after surgery
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After Anesthesiological evaluation and activation of Hospital medical emergency team
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72 hours after surgery
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Occurrence of post-surgical complications (any type) or reoperation
기간: 72 hours after surgery or patients discharge
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Any type of complication and their severity (Clavien Dindo score) that occur during the intervention period
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72 hours after surgery or patients discharge
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Correlation between parameters trend, including persistent deviation from pre-operative values, and patient outcome or length of hospital stay.
기간: Untill patient discharge from hospital
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To investigate the incidence of complication and/or prolonged LOS if the patient experience a progressive postoperative deviation from baseline vital parameters.
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Untill patient discharge from hospital
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Barriers to patient rehabilitation and patients satisfaction
기간: 72 hours after surgery or discharge
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Investigate whether the wearable device hinders patient rehabilitation, expressed as the percentage of patients reporting a reduced capacity for postoperative early mobilization or rehabilitation, and patients global satisfaction through a questionnaire.
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72 hours after surgery or discharge
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공동 작업자 및 조사자
간행물 및 유용한 링크
일반 간행물
- Benyamin R, Trescot AM, Datta S, Buenaventura R, Adlaka R, Sehgal N, Glaser SE, Vallejo R. Opioid complications and side effects. Pain Physician. 2008 Mar;11(2 Suppl):S105-20.
- Smith GB, Prytherch DR, Meredith P, Schmidt PE, Featherstone PI. The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death. Resuscitation. 2013 Apr;84(4):465-70. doi: 10.1016/j.resuscitation.2012.12.016. Epub 2013 Jan 4.
- Thompson JS, Baxter BT, Allison JG, Johnson FE, Lee KK, Park WY. Temporal patterns of postoperative complications. Arch Surg. 2003 Jun;138(6):596-602; discussion 602-3. doi: 10.1001/archsurg.138.6.596.
- Churpek MM, Yuen TC, Park SY, Gibbons R, Edelson DP. Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*. Crit Care Med. 2014 Apr;42(4):841-8. doi: 10.1097/CCM.0000000000000038.
- Levin N, Horton D, Sanford M, Horne B, Saseendran M, Graves K, White M, Tonna JE. Failure of vital sign normalization is more strongly associated than single measures with mortality and outcomes. Am J Emerg Med. 2020 Dec;38(12):2516-2523. doi: 10.1016/j.ajem.2019.12.024. Epub 2019 Dec 14.
- Bellini V, Brambilla M, Bignami E. Wearable devices for postoperative monitoring in surgical ward and the chain of liability. J Anesth Analg Crit Care. 2024 Mar 7;4(1):19. doi: 10.1186/s44158-024-00154-6.
- Downey CL, Croft J, Ainsworth G, Buckley H, Shinkins B, Randell R, Brown JM, Jayne DG. Trial of remote continuous versus intermittent NEWS monitoring after major surgery (TRaCINg): a feasibility randomised controlled trial. Pilot Feasibility Stud. 2020 Nov 23;6(1):183. doi: 10.1186/s40814-020-00709-8.
- Nagendran M, Dimick JB, Gonzalez AA, Birkmeyer JD, Ghaferi AA. Mortality Among Older Adults Before Versus After Hospital Transition to Intensivist Staffing. Med Care. 2016 Jan;54(1):67-73. doi: 10.1097/MLR.0000000000000446.
- van der Stam JA, Mestrom EHJ, Nienhuijs SW, de Hingh IHJT, Boer AK, van Riel NAW, de Groot KTJ, Verhaegh W, Scharnhorst V, Bouwman RA. A wearable patch based remote early warning score (REWS) in major abdominal cancer surgery patients. Eur J Surg Oncol. 2023 Jan;49(1):278-284. doi: 10.1016/j.ejso.2022.08.034. Epub 2022 Sep 2.
- Lee A, Lum ME, O'Regan WJ, Hillman KM. Early postoperative emergencies requiring an intensive care team intervention. The role of ASA physical status and after-hours surgery. Anaesthesia. 1998 Jun;53(6):529-35. doi: 10.1046/j.1365-2044.1998.00395.x.
- Khanna AK, Flick M, Saugel B. Continuous vital sign monitoring of patients recovering from surgery on general wards: a narrative review. Br J Anaesth. 2025 Feb;134(2):501-509. doi: 10.1016/j.bja.2024.10.045. Epub 2025 Jan 7.
- Breteler MJM, KleinJan E, Numan L, Ruurda JP, Van Hillegersberg R, Leenen LPH, Hermans M, Kalkman CJ, Blokhuis TJ. Are current wireless monitoring systems capable of detecting adverse events in high-risk surgical patients? A descriptive study. Injury. 2020 May;51 Suppl 2:S97-S105. doi: 10.1016/j.injury.2019.11.018. Epub 2019 Nov 17.
- Lam T, Nagappa M, Wong J, Singh M, Wong D, Chung F. Continuous Pulse Oximetry and Capnography Monitoring for Postoperative Respiratory Depression and Adverse Events: A Systematic Review and Meta-analysis. Anesth Analg. 2017 Dec;125(6):2019-2029. doi: 10.1213/ANE.0000000000002557.
- Stone JG, Cozine KA, Wald A. Nocturnal oxygenation during patient-controlled analgesia. Anesth Analg. 1999 Jul;89(1):104-10. doi: 10.1097/00000539-199907000-00018.
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (추정된)
연구 완료 (추정된)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
키워드
추가 관련 MeSH 약관
기타 연구 ID 번호
- 421/2024/DISP/AOUPR
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
IPD 계획 설명
IPD 공유 기간
IPD 공유 액세스 기준
IPD 공유 지원 정보 유형
- 연구_프로토콜
- 수액
- CSR
약물 및 장치 정보, 연구 문서
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미국 FDA 규제 기기 제품 연구
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