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Wearable Device-Based Screening for Anemia Risk (WEAR-ANEMIA)

2026년 8월 28일 업데이트: Chen Miao, Peking Union Medical College Hospital

Anemia is a common condition, but it often goes undiagnosed because confirming it requires a venous blood test. This study looks at whether a commercially available wrist-worn smartwatch can help identify people who may have anemia, without taking blood.

The watch continuously records several types of physiological signals, including photoplethysmography (a light-based measure of blood flow), movement, heart rate, blood oxygen saturation, and heart rate variability. Researchers will use these signals to build a computer model that sorts participants into two groups: likely to have anemia, or unlikely to have anemia.

About 400 adults between 18 and 80 years of age will take part at one hospital in Beijing, China. Both patients with anemia and people with normal hemoglobin levels will be included. Each participant will wear the watch and also have a standard venous blood test to measure hemoglobin, which serves as the reference for comparison.

Data from the first 250 participants will be used to develop the model. Data from the next 150 participants will be used to test how well the model works in a separate group. The main question is how accurately the watch-based result matches the blood test result.

연구 개요

상태

아직 모집하지 않음

정황

상세 설명

This is a prospective, observational, diagnostic accuracy study conducted at a single tertiary care hospital in Beijing, China. The purpose is to develop and evaluate a deep learning model for non-invasive binary classification of anemia using multimodal physiological signals acquired from a commercially available consumer wrist-worn wearable device.

Study procedures. Participants will be enrolled in two sequential stages. In the first stage, 250 participants will be enrolled for algorithm development and tuning. In the second stage, an additional 150 participants will be enrolled for independent testing of the locked model and for supporting iterative optimization. All participants will undergo wearable signal acquisition and venous blood sampling for hemoglobin measurement, which serves as the reference standard.

Signal acquisition differs by care setting. Hospitalized participants will undergo 24-hour continuous wearable monitoring and paired signal acquisition before and after a six-minute walk test. Outpatient participants will undergo short-duration resting acquisition with the device worn alternately on the left and right wrist. Outpatient participants may undergo up to three additional assessments if they return for routine clinical visits; these visits are opportunistic and recorded as they occur. Hospitalized participants undergo a single acquisition without follow-up.

Reference standard. Anemia is defined according to Chinese sea-level criteria: hemoglobin below 120 g/L in adult men, below 110 g/L in non-pregnant women, and below 100 g/L in pregnant women.

Sample size. The primary endpoint is diagnostic sensitivity. Assuming an expected sensitivity of 70%, an allowable error of 6%, and a confidence level of 95%, at least 225 participants with anemia are required. Allowing for approximately 10% dropout or unusable data, the anemia group is set at 300 or more participants. At least 90 participants with normal hemoglobin will be enrolled to estimate specificity. To support deep learning model training and generalizability assessment, the total target enrollment is 400 participants.

Statistical analysis. Model performance will be reported as sensitivity and specificity. Cross-validation will be used to assess model stability, and an independent test set will be used to assess generalizability.

The wearable device is non-invasive. Study participation does not alter any aspect of the clinical management of participants.

연구 유형

관찰

등록 (추정된)

400

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

  • 이름: Jian Li, Phd
  • 전화번호: 010-69155027
  • 이메일: lijian@pumch.cn

연구 연락처 백업

  • 이름: Miao Chen, PHD
  • 전화번호: +86 18618230229
  • 이메일: chenm@pumch.cn

연구 장소

    • Beijing Municipality
      • Beijing, Beijing Municipality, 중국, 100730
        • Peking Union Medical College Hospital
        • 연락하다:

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

  • 성인
  • 고령자

건강한 자원 봉사자를 받아들입니다

예

샘플링 방법

비확률 샘플

연구 인구

Adults aged 18 to 80 years recruited from inpatient wards and outpatient clinics at a single tertiary care hospital in Beijing, China. The population includes both participants with a hospital-confirmed diagnosis of anemia and control participants with hemoglobin within the normal reference range. Anemia is defined according to Chinese sea-level criteria: hemoglobin below 120 g/L in adult men, below 110 g/L in non-pregnant adult women, and below 100 g/L in pregnant women. For participants with anemia, a hemoglobin result obtained within the 3 days and a diagnostic report specifying anemia severity, red blood cell size classification, and anemia type are required. Enrollment targets at least 300 participants with anemia and at least 90 participants with normal hemoglobin. Participants are enrolled consecutively as they present for routine clinical care and meet eligibility criteria.

설명

Inclusion Criteria:

  1. Age 18 to 80 years, any sex
  2. Willing to participate and able to provide written informed consent
  3. Able to comply with wearable device wear, venous blood sampling, and functional assessment (e.g., six-minute walk test)
  4. For participants with anemia: a hemoglobin test result obtained within 3 days before or after wearable signal acquisition and a hospital diagnostic report, including anemia severity, red blood cell size classification, and anemia type. Anemia is defined according to Chinese sea-level criteria: hemoglobin below 120 g/L in adult men, below 110 g/L in non-pregnant adult women, and below 100 g/L in pregnant women
  5. For control participants: hemoglobin within the normal reference range -

Exclusion Criteria:

  1. Axillary temperature 37.3°C or higher on the day of data collection or on the preceding day
  2. Acute exacerbation of a severe comorbid condition (e.g., decompensated heart failure, respiratory failure, acute infection)
  3. Skin breakdown, rash, deformity, amputation, or any other condition of the upper limb precluding proper wear of the device
  4. Refusal of, or intolerance to, invasive venous blood sampling
  5. Concurrent participation in another interventional clinical trial -

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

코호트 및 개입

그룹/코호트
Model development cohort
First 250 participants. Wearable multimodal physiological signals and venous hemoglobin measurement are collected in parallel and used for deep learning model development and tuning.
Independent validation cohort
Subsequent 150 participants. Data are used for independent testing of the model and to support iterative optimization.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Sensitivity and specificity of the wearable-based deep learning model for binary anemia classification
기간: Day 1
Agreement between the model-derived anemia versus non-anemia classification and venous hemoglobin measurement as the reference standard. Venous blood sampling is performed within 3 days before or after wearable signal acquisition.Reported as sensitivity and specificity with 95% confidence intervals in the independent validation cohort.
Day 1

2차 결과 측정

결과 측정
측정값 설명
기간
Model performance stability under 24-hour continuous wear
기간: Day 1
Sensitivity and specificity of the model using signals acquired during 24-hour continuous wearable monitoring in hospitalized participants.
Day 1
Effect of red blood cell size classification on model estimation accuracy
기간: Day 1
Model sensitivity and specificity stratified by red blood cell size category (microcytic, normocytic, macrocytic) based on mean corpuscular volume
Day 1
Model performance stability under exercise load
기간: Day 1 (immediately before and after the six-minute walk test)
Comparison of model classification performance using signals acquired before versus after a six-minute walk test in hospitalized participants.
Day 1 (immediately before and after the six-minute walk test)
Agreement of classification results between left and right wrist placement
기간: Day 1
Concordance of the model-derived anemia classification between signals acquired with the device worn on the left wrist and on the right wrist in outpatient participants.
Day 1

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

협력자

간행물 및 유용한 링크

연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2026년 9월 5일

기본 완료 (추정된)

2027년 6월 30일

연구 완료 (추정된)

2027년 7월 15일

연구 등록 날짜

최초 제출

2026년 8월 26일

QC 기준을 충족하는 최초 제출

2026년 8월 28일

처음 게시됨 (실제)

2026년 9월 1일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 9월 1일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 8월 28일

마지막으로 확인됨

2026년 8월 1일

추가 정보

이 연구와 관련된 용어

추가 관련 MeSH 약관

기타 연구 ID 번호

  • PUMCH-WEAR-ANEMIA-2026

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

아니요

IPD 계획 설명

Individual participant data include continuous multimodal physiological signal recordings that are potentially identifiable and cannot be adequately de-identified. Raw data will therefore not be shared with other researchers. Aggregate study results will be reported in peer-reviewed publications and in a study summary report, without any information that could identify individual participants.

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .