Evidence map›Paper›PMID 35786223›Full record

Observational studyCritical care (London, England)2022

An updated HACOR score for predicting the failure of noninvasive ventilation: a multicenter prospective observational study.

Jun Duan, Lijuan Chen, Xiaoyi Liu, Suha Bozbay, Yuliang Liu, Ke Wang, Antonio M Esquinas, Weiwei Shu, Fuxun Yang, Dehua He and 16 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
10.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Observational
  7. Article
  8. Article
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  13. Early Prediction of High-flow Nasal Cannula Failure in Children: Clarifying the Evidence Behind the Pediatric HACOR Score.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  14. Article
  15. Review
  16. Early Prediction of High-flow Nasal Cannula Failure Using Pediatric-modified HACOR Score in Children with Acute Hypoxemic Respiratory Distress: A Prospective Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  17. Review
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  20. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors at 15 institutions in 4 countries.

Jun Duan *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Youyi Road 1, Yuzhong District, Chongqing, 400016, China. duanjun412589@163.com.
Lijuan Chen *Department of Respiratory and Critical Care Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Xiaoyi Liu *Department of Critical Care Medicine, Dazhou Central Hospital, Dazhou, Shichuan, China.
Suha Bozbay *Intensive Care, Istanbul University Cerrahpasa-Cerrahpasa School of Medicine, Istanbul, Turkey.
Yuliang Liu *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Youyi Road 1, Yuzhong District, Chongqing, 400016, China.
Ke Wang *Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Antonio M EsquinasIntensive Care Unit, Hospital Morales Meseguer, Murcia, Spain.
Weiwei ShuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Youyi Road 1, Yuzhong District, Chongqing, 400016, China.
Fuxun YangDepartment of ICU, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Dehua HeDepartment of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Qimin ChenDepartment of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Bilin WeiDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Baixu ChenDepartment of Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Liucun LiDepartment of Respiratory and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Manyun TangDepartment of Traditional Medicine and Rehabilitation, The Chest Hospital of Xi'an, Xi'an, China.
Guodan YuanDepartment of Critical Care Medicine, Chonqing Public Health Medical Center, Chongqing, China.
Fei DingDepartment of Respiratory and Critical Care Medicine, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Tao HuangDepartment of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhongxing ZhangDepartment of Respiratory and Critical Care Medicine, Affiliated Hospital of Chongqing Three Gorges Medical College, Chongqing, China.
ZhiJun TangDepartment of Respiratory and Critical Care Medicine, The People's Hospital of Nanchuan, Chongqing, China.
Xiaoli HanDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Youyi Road 1, Yuzhong District, Chongqing, 400016, China.
Lei JiangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Youyi Road 1, Yuzhong District, Chongqing, 400016, China.
Linfu BaiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Youyi Road 1, Yuzhong District, Chongqing, 400016, China.
Wenhui HuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Youyi Road 1, Yuzhong District, Chongqing, 400016, China.
Rui ZhangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Youyi Road 1, Yuzhong District, Chongqing, 400016, China.
Bushra MinaDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, Northwell Health, Lenox Hill Hospital, New York, NY, USA.
Chongqing Medical University · CNFirst Affiliated Hospital of Chongqing Medical University · CNGuiyang Medical University · CNUniversity of Electronic Science and Technology of China · CNCentral South University · CNChongqing Public Health Medical Center · CNChongqing Three Gorges Central Hospital · CNDalian Medical University · CNDazhou Central Hospital · CNHospital General Universitario Morales Meseguer · ESIstanbul University-Cerrahpaşa · TRLenox Hill Hospital · USThe First Affiliated Hospital, Sun Yat-sen University · CNWest China Hospital of Sichuan University · CNXi'an Chest Hospital · CN

Funding

Pei Yu Ji Jin of the First Affiliated Hospital of Chongqing Medical University PYJJ201707
6 · The paper itself

Abstract

backgroundHeart rate, acidosis, consciousness, oxygenation, and respiratory rate (HACOR) have been used to predict noninvasive ventilation (NIV) failure. However, the HACOR score fails to consider baseline data. Here, we aimed to update the HACOR score to take into account baseline data and test its predictive power for NIV failure primarily after 1-2 h of NIV.

methodsA multicenter prospective observational study was performed in 18 hospitals in China and Turkey. Patients who received NIV because of hypoxemic respiratory failure were enrolled. In Chongqing, China, 1451 patients were enrolled in the training cohort. Outside of Chongqing, another 728 patients were enrolled in the external validation cohort.

resultsBefore NIV, the presence of pneumonia, cardiogenic pulmonary edema, pulmonary ARDS, immunosuppression, or septic shock and the SOFA score were strongly associated with NIV failure. These six variables as baseline data were added to the original HACOR score. The AUCs for predicting NIV failure were 0.85 (95% CI 0.84-0.87) and 0.78 (0.75-0.81) tested with the updated HACOR score assessed after 1-2 h of NIV in the training and validation cohorts, respectively. A higher AUC was observed when it was tested with the updated HACOR score compared to the original HACOR score in the training cohort (0.85 vs. 0.80, 0.86 vs. 0.81, and 0.85 vs. 0.82 after 1-2, 12, and 24 h of NIV, respectively; all p values < 0.01). Similar results were found in the validation cohort (0.78 vs. 0.71, 0.79 vs. 0.74, and 0.81 vs. 0.76, respectively; all p values < 0.01). When 7, 10.5, and 14 points of the updated HACOR score were used as cutoff values, the probability of NIV failure was 25%, 50%, and 75%, respectively. Among patients with updated HACOR scores of ≤ 7, 7.5-10.5, 11-14, and > 14 after 1-2 h of NIV, the rate of NIV failure was 12.4%, 38.2%, 67.1%, and 83.7%, respectively.

conclusionsThe updated HACOR score has high predictive power for NIV failure in patients with hypoxemic respiratory failure. It can be used to help in decision-making when NIV is used.

Indexed as

Noninvasive VentilationRespiratory InsufficiencyHumansIntensive Care UnitsProspective StudiesTreatment FailureAcute respiratory failureNoninvasive ventilationScoring system

Identifiers

PMID35786223
PMCPMC9250742
OpenAlexW4283788791

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.