The association between vital signs and mortality in a retrospective cohort study of an unselected emergency department population

被引:71
作者
Ljunggren, Malin [1 ]
Castren, Maaret [1 ,2 ,3 ]
Nordberg, Martin [1 ]
Kurland, Lisa [1 ]
机构
[1] Karolinska Inst, Sect Emergency Med, Dept Clin Sci & Educ, Sodersjukhuset, Stockholm, Sweden
[2] Helsinki Univ Hosp, Dept Emergency Med & Serv, Helsinki, Finland
[3] Univ Helsinki, Helsinki, Finland
来源
SCANDINAVIAN JOURNAL OF TRAUMA RESUSCITATION & EMERGENCY MEDICINE | 2016年 / 24卷
关键词
Emergency department; Vital signs; Mortality; Triage; IN-HOSPITAL MORTALITY; EARLY WARNING SCORE; SYSTOLIC BLOOD-PRESSURE; GLASGOW COMA SCALE; MEDICAL ADMISSIONS; TRAUMA PATIENTS; SYSTEM; TRIAGE; PREDICTION; AGE;
D O I
10.1186/s13049-016-0213-8
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background: Vital signs are widely used in emergency departments. Previous studies on the association between vital signs and mortality in emergency departments have been restricted to selected patient populations. We aimed to study the association of vital signs and age with 1-day mortality in patients visiting the emergency department. Methods: This retrospective cohort included patients visiting the emergency department for adults at Sodersjukhuset, Sweden from 4/1/2012 to 4/30/2013. Exclusion criteria were: age < 18 years, deceased upon arrival, chief complaint circulatory or respiratory arrest, key data missing and patients who were directed to a certain fast track for conditions demanding little resources. Vital sign data was collected through the Rapid Emergency Triage and Treatment System-Adult (RETTS-A). Descriptive analyses and logistic regression models were used. The main outcome measure was 1-day mortality. Results: The 1-day mortality rate was 0.3 %. 96,512 patients met the study criteria. After adjustments of differences in the other vital signs, comorbidities, gender and age the following vital signs were independently associated with 1-day mortality: oxygen saturation, systolic blood pressure, temperature, level of consciousness, respiratory rate, pulse rate and age. The highest odds ratios was observed when comparing unresponsive to alert patients (OR 31.0, CI 16.9 to 56.8), patients >= 80 years to < 50 years (OR 35.9, CI 10.7 to 120.2) and patients with respiratory rates < 8/min to 8-25/min (OR 18.1, CI 2.1 to 155.5). Discussion: Most of the vital signs used in the ED are significantly associated with one-day mortality. The more the vital signs deviate from the normal range, the larger are the odds of mortality. We did not find a suitable way to adjust for the inherent influence the triage system and medical treatment has had on mortality. Conclusions: Most deviations of vital signs are associated with 1-day mortality. The same triage level is not associated with the same odds for death with respect to the individual vital sign. Patients that were unresponsive or had low respiratory rates or old age had the highest odds of 1-day mortality.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Association between socioeconomic status and hospitalisation requirement in older patients attended at the emergency department: A retrospective cohort study
    Garcia-Martinez, A.
    Artajona, L.
    Osorio, G.
    Bragulat, E.
    Aguilo, S.
    JOURNAL OF HEALTHCARE QUALITY RESEARCH, 2024, 39 (03) : 139 - 146
  • [22] The Association Between Respiratory Viruses and Asthma Exacerbation in Children Visiting Pediatric Emergency Department: A Retrospective Cohort Study
    Lee, Won Seok
    Song, Joo Young
    Shin, Jeewon
    Choi, Sun Hee
    Han, Man Yong
    Lee, Kyung Suk
    JOURNAL OF CLINICAL MEDICINE, 2025, 14 (04)
  • [23] Association of patient-to-emergency department staff ratio with the incidence of cardiac arrest: A retrospective cohort study
    Tsai, Li-Heng
    Chien, Wei-Che
    Chen, Chen-Bin
    Tsai, Shang-Li
    Chaou, Chung-Hsien
    Weng, Yi-Ming
    Ng, Chip-Jin
    Seak, Chen-June
    Chen, Shou-Yen
    Huang, Chien-Hsiung
    Fang, Shoo-Yu
    Lin, Chi-Chun
    Chien, Cheng-Yu
    SIGNA VITAE, 2021, 17 (04) : 118 - 124
  • [24] How accurate are vital signs in predicting clinical outcomes in critically ill emergency department patients
    Hong, Weili
    Earnest, Arul
    Sultana, Papia
    Koh, Zhixiong
    Shahidah, Nur
    Ong, Marcus Eng Hock
    EUROPEAN JOURNAL OF EMERGENCY MEDICINE, 2013, 20 (01) : 27 - 32
  • [25] Frequent emergency department use and mortality in patients with substance and opioid use in Alberta: A population-based retrospective cohort study
    Moe, Jessica
    Camargo, Carlos A., Jr.
    Davis, Roger B.
    Jelinski, Susan
    Rowe, Brian H.
    CANADIAN JOURNAL OF EMERGENCY MEDICINE, 2019, 21 (04) : 482 - 491
  • [26] The hanging chin sign as a mortality predictor in geriatric patients at the emergency department: a retrospective cohort study
    Anneloes N. J. Huijgens
    Laurens J. van Baardewijk
    Carolina J. P. W. Keijsers
    BMC Geriatrics, 22
  • [27] Measuring vital signs in children with fever at the emergency department: an observational study on adherence to the NICE recommendations in Europe
    van de Maat, Josephine
    Jonkman, Hein
    van de Voort, Elles
    Mintegi, Santiago
    Gervaix, Alain
    Bressan, Silvia
    Moll, Henriette
    Oostenbrink, Rianne
    EUROPEAN JOURNAL OF PEDIATRICS, 2020, 179 (07) : 1097 - 1106
  • [28] The hanging chin sign as a mortality predictor in geriatric patients at the emergency department: a retrospective cohort study
    Huijgens, Anneloes N. J.
    van Baardewijk, Laurens J.
    Keijsers, Carolina J. P. W.
    BMC GERIATRICS, 2022, 22 (01)
  • [29] Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study
    Brann, Felix
    Sterling, Nicholas William
    Frisch, Stephanie O.
    Schrager, Justin D.
    JMIR AI, 2024, 3
  • [30] An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study
    Lee, Seungseok
    Kang, Wu Seong
    Kim, Do Wan
    Seo, Sang Hyun
    Kim, Joongsuck
    Jeong, Soon Tak
    Yon, Dong Keon
    Lee, Jinseok
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25