Geriatric influenza death (GID) score: a new tool for predicting mortality in older people with influenza in the emergency department

被引:23
作者
Chung, Jui-Yuan [1 ]
Hsu, Chien-Chin [2 ,3 ]
Chen, Jiann-Hwa [1 ,4 ]
Chen, Wei-Lung [1 ,4 ]
Lin, Hung-Jung [2 ,3 ,5 ]
Guo, How-Ran [6 ,7 ]
Huang, Chien-Cheng [2 ,6 ,8 ,9 ,10 ]
机构
[1] Cathay Gen Hosp, Dept Emergency Med, Taipei, Taiwan
[2] Chi Mei Med Ctr, Dept Emergency Med, Tainan, Taiwan
[3] Southern Taiwan Univ Sci & Technol, Dept Biotechnol, Tainan, Taiwan
[4] Fu Jen Catholic Univ, Sch Med, Taipei, Taiwan
[5] Taipei Med Univ, Dept Emergency Med, Taipei, Taiwan
[6] Natl Cheng Kung Univ, Coll Med, Dept Environm & Occupat Hlth, Tainan, Taiwan
[7] Natl Cheng Kung Univ Hosp, Dept Occupat & Environm Med, Tainan, Taiwan
[8] Southern Taiwan Univ Sci & Technol, Dept Senior Serv, Tainan, Taiwan
[9] Chi Mei Med Ctr, Dept Geriatr & Gerontol, Tainan, Taiwan
[10] Chi Mei Med Ctr, Dept Occupat Med, Tainan, Taiwan
来源
SCIENTIFIC REPORTS | 2018年 / 8卷
关键词
C-REACTIVE PROTEIN; LONG-TERM MORTALITY; SERUM CREATININE; CANCER HISTORY; SEVERE SEPSIS; SEPTIC SHOCK; MANAGEMENT; RULE; GUIDELINES; EPIDEMICS;
D O I
10.1038/s41598-018-27694-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Although influenza may cause death in the geriatric population, the best method for predicting mortality in this population is still unclear. We retrospectively recruited older people (>= 65 yr) with influenza visiting the emergency department (ED) of a medical center between January 1, 2010, and December 31, 2015. We performed univariate and multivariate logistic regression to identify independent mortality predictors and then developed a prediction score. Four hundred nine older ED patients with a nearly equal sex ratio were recruited. Five independent mortality predictors were identified: severe coma (Glasgow Coma Scale score <= 8), past histories of cancer and coronary artery disease, elevated C-reactive protein levels (>10 mg/dl), and bandemia (>10% band cells). We divided the patients into three mortality risk and disposition groups: (1) low risk (1.1%; 95% confidence interval [CI], 0.5-3.0%); (2) moderate risk (16.7%; 95% CI, 9.3-28.0%); and (3) high risk (40%; 95% CI, 19.8-64.2%). The area under the receiver operating characteristic curve and the Hosmer-Lemeshow goodness of fit of the GID score were 0.86 and 0.578, respectively. The GID score is an efficient and simple tool for predicting mortality in older ED patients with influenza. Further studies are warranted to validate its use.
引用
收藏
页数:8
相关论文
共 37 条
  • [1] The Simple Triage Scoring System (STSS) successfully predicts mortality and critical care resource utilization in H1N1 pandemic flu: a retrospective analysis
    Adeniji, Kayode A.
    Cusack, Rebecca
    [J]. CRITICAL CARE, 2011, 15 (01):
  • [2] Predicting influenza infections during epidemics with use of a clinical case definition
    Boivin, G
    Hardy, I
    Tellier, G
    Maziade, J
    [J]. CLINICAL INFECTIOUS DISEASES, 2000, 31 (05) : 1166 - 1169
  • [3] Centers for Disease Control and Prevention, 2018, SEAS INFL VACC EFF
  • [4] Hypotension, bedridden, leukocytosis, thrombocytopenia and elevated serum creatinine predict mortality in geriatric patients with fever
    Chung, Min-Hsien
    Chu, Feng-Yuan
    Yang, Tzu-Meng
    Lin, Hung-Jung
    Chen, Jiann-Hwa
    Guo, How-Ran
    Vong, Si-Chon
    Su, Shih-Bin
    Huang, Chien-Cheng
    Hsu, Chien-Chin
    [J]. GERIATRICS & GERONTOLOGY INTERNATIONAL, 2015, 15 (07) : 834 - 839
  • [5] Geriatric Fever Score: A New Decision Rule for Geriatric Care
    Chung, Min-Hsien
    Huang, Chien-Cheng
    Vong, Si-Chon
    Yang, Tzu-Meng
    Chen, Kuo-Tai
    Lin, Hung-Jung
    Chen, Jiann-Hwa
    Su, Shih-Bin
    Guo, How-Ran
    Hsu, Chien-Chin
    [J]. PLOS ONE, 2014, 9 (10):
  • [6] The epidemiology of sepsis in patients with malignancy
    Danai, Pajman A.
    Moss, Marc
    Mannino, David M.
    Martin, Greg S.
    [J]. CHEST, 2006, 129 (06) : 1432 - 1440
  • [7] DELLINGER RP, 2013, INTENS CARE MED, V39, P165, DOI DOI 10.1007/s00134-012-2769-8
  • [8] C-reactive protein as a predictor of mortality in patients affected with severe sepsis in intensive care unit
    Devran, Ozkan
    Karakurt, Zuhal
    Adiguzel, Nalan
    Gungor, Gokay
    Mocin, Ozlem Yazicioglu
    Balci, Merih Kalamanoglu
    Celik, Ece
    Salturk, Cuneyt
    Takir, Huriye Berk
    Kargin, Feyza
    Yilmaz, Adnan
    [J]. MULTIDISCIPLINARY RESPIRATORY MEDICINE, 2012, 7
  • [9] Does C-reactive protein independently predict mortality in adult community-acquired bacteremia patients with known sepsis severity?
    Gradel, Kim O.
    Jensen, Thoger G.
    Kolmos, Hans J.
    Pedersen, Court
    Vinholt, Pernille J.
    Lassen, Annmarie T.
    [J]. APMIS, 2013, 121 (09) : 835 - 842
  • [10] Development and validation of a clinical prediction rule for hospitalization due to pneumonia or influenza or death during influenza epidemics among community-dwelling elderly persons
    Hak, E
    Wei, FF
    Nordin, J
    Mullooly, J
    Poblete, S
    Nichol, KL
    [J]. JOURNAL OF INFECTIOUS DISEASES, 2004, 189 (03) : 450 - 458