Derivation and Multicenter Validation of the Drug Resistance in Pneumonia Clinical Prediction Score

被引:63
|
作者
Webb, Brandon J. [1 ]
Dascomb, Kristin [1 ]
Stenehjem, Edward [1 ]
Vikram, Holenarasipur R. [2 ]
Agrwal, Neera [3 ]
Sakata, Kenneth [4 ]
Williams, Kathryn [5 ]
Bockorny, Bruno [6 ]
Bagavathy, Kavitha [6 ]
Mirza, Shireen [6 ]
Metersky, Mark [7 ]
Dean, Nathan C. [8 ,9 ]
机构
[1] Intermt Healthcare, Div Epidemiol & Infect Dis, Salt Lake City, UT USA
[2] Mayo Clin Arizona, Div Infect Dis, Phoenix, AZ USA
[3] Mayo Clin Arizona, Div Hosp Internal Med, Phoenix, AZ USA
[4] Mayo Clin Arizona, Div Pulm Med, Phoenix, AZ USA
[5] Mayo Clin Arizona, Dept Internal Med, Scottsdale, AZ USA
[6] Univ Connecticut, Med Ctr, Dept Internal Med, Farmington, CT USA
[7] Univ Connecticut, Med Ctr, Div Pulm & Crit Care Med, Farmington, CT USA
[8] Intermt Med Ctr, Div Pulm & Crit Care Med, Salt Lake City, UT USA
[9] Univ Utah, Salt Lake City, UT USA
关键词
CARE-ASSOCIATED PNEUMONIA; COMMUNITY-ACQUIRED PNEUMONIA; GUIDELINE-CONCORDANT THERAPY; RISK-FACTORS; HOSPITALIZED-PATIENTS; STAPHYLOCOCCUS-AUREUS; ANTIBIOTIC-THERAPY; ANTIMICROBIAL THERAPY; PATHOGENS; OUTCOMES;
D O I
10.1128/AAC.03071-15
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The health care-associated pneumonia (HCAP) criteria have a limited ability to predict pneumonia caused by drug-resistant bacteria and favor the overutilization of broad-spectrum antibiotics. We aimed to derive and validate a clinical prediction score with an improved ability to predict the risk of pneumonia due to drug-resistant pathogens compared to that of HCAP criteria. A derivation cohort of 200 microbiologically confirmed pneumonia cases in 2011 and 2012 was identified retrospectively. Risk factors for pneumonia due to drug-resistant pathogens were evaluated by logistic regression, and a novel prediction score (the drug resistance in pneumonia [DRIP] score) was derived. The score was then validated in a prospective, observational cohort of 200 microbiologically confirmed cases of pneumonia at four U.S. centers in 2013 and 2014. The DRIP score (area under the receiver operator curve [AUROC], 0.88 [95% confidence interval {CI}, 0.82 to 0.93]) performed significantly better (P = 0.02) than the HCAP criteria (AUROC, 0.72 [95% CI, 0.64 to 0.79]). At a threshold of >= 4 points, the DRIP score demonstrated a sensitivity of 0.82 (95% CI, 0.67 to 0.88), a specificity of 0.81 (95% CI, 0.73 to 0.87), a positive predictive value (PPV) of 0.68 (95% CI, 0.56 to 0.78), and a negative predictive value (NPV) of 0.90 (95% CI, 0.81 to 0.93). By comparison, the performance of HCAP criteria was less favorable: sensitivity was 0.79 (95% CI, 0.67 to 0.88), specificity was 0.65 (95% CI, 0.56 to 0.73), PPV was 0.53 (95% CI, 0.42 to 0.63), and NPV was 0.86 (95% CI, 0.77 to 0.92). The overall accuracy of the HCAP criteria was 69.5% (95% CI, 62.5 to 75.7%), whereas that of the DRIP score was 81.5% (95% CI, 74.2 to 85.6%) (P = 0.005). Unnecessary extended-spectrum antibiotics were recommended 46% less frequently by applying the DRIP score (25/200, 12.5%) than by use of HCAP criteria (47/200, 23.5%) (P = 0.004), without increasing the rate at which inadequate treatment recommendations were made. The DRIP score was more predictive of the risk of pneumonia due to drug-resistant pathogens than HCAP criteria and may have the potential to decrease antibiotic overutilization in patients with pneumonia. Validation in larger cohorts of patients with pneumonia due to all causes is necessary.
引用
收藏
页码:2652 / 2663
页数:12
相关论文
共 50 条
  • [21] Multicenter derivation and validation of an early warning score for acute respiratory failure or death in the hospital
    Mikhail A Dziadzko
    Paul J Novotny
    Jeff Sloan
    Ognjen Gajic
    Vitaly Herasevich
    Parsa Mirhaji
    Yiyuan Wu
    Michelle Ng Gong
    Critical Care, 22
  • [22] Multicenter derivation and validation of an early warning score for acute respiratory failure or death in the hospital
    Dziadzko, Mikhail A.
    Novotny, Paul J.
    Sloan, Jeff
    Gajic, Ognjen
    Herasevich, Vitaly
    Mirhaji, Parsa
    Wu, Yiyuan
    Gong, Michelle Ng
    CRITICAL CARE, 2018, 22
  • [23] Prediction of radial crossover in acute coronary syndromes derivation and validation of the MATRIX score
    Gragnano, Felice
    Jolly, Sanjit S.
    Mehta, Shamir R.
    Branca, Mattia
    van Klaveren, David
    Frigoli, Enrico
    Gargiulo, Giuseppe
    Leonardi, Sergio
    Vranckx, Pascal
    Di Maio, Dario
    Monda, Emanuele
    Fimiani, Luigi
    Fioretti, Vincenzo
    Chianese, Salvatore
    Ando, Giuseppe
    Esposito, Giovanni
    Sangiorgi, Giuseppe Massimo
    Biondi-Zoccai, Giuseppe
    Heg, Dik
    Calabro, Paolo
    Windecker, Stephan
    Romagnoli, Enrico
    Valgimigli, Marco
    EUROINTERVENTION, 2021, 17 (12) : E971 - U17
  • [24] Derivation and validation of the clinical prediction model for COVID-19
    Foieni, Fabrizio
    Sala, Girolamo
    Mognarelli, Jason Giuseppe
    Suigo, Giulia
    Zampini, Davide
    Pistoia, Matteo
    Ciola, Mariella
    Ciampani, Tommaso
    Ultori, Carolina
    Ghiringhelli, Paolo
    INTERNAL AND EMERGENCY MEDICINE, 2020, 15 (08) : 1409 - 1414
  • [25] DERIVATION AND VALIDATION OF A CLINICAL-PREDICTION MODEL FOR CHLAMYDIA CERVICITIS
    JOHNSON, BA
    POSES, RM
    FORTNER, CA
    MEIER, FM
    DALTON, HP
    CLINICAL RESEARCH, 1989, 37 (02): : A777 - A777
  • [26] Derivation and validation of the clinical prediction model for COVID-19
    Fabrizio Foieni
    Girolamo Sala
    Jason Giuseppe Mognarelli
    Giulia Suigo
    Davide Zampini
    Matteo Pistoia
    Mariella Ciola
    Tommaso Ciampani
    Carolina Ultori
    Paolo Ghiringhelli
    Internal and Emergency Medicine, 2020, 15 : 1409 - 1414
  • [27] Electronic nose prediction of a clinical pneumonia score: Biosensors and microbes
    Hanson, CW
    Thaler, ER
    ANESTHESIOLOGY, 2005, 102 (01) : 63 - 68
  • [28] Development and validation of a clinical risk score for predicting drug-resistant bacterial pneumonia in older Chinese patients
    Ma, Hon Ming
    Ip, Margaret
    Woo, Jean
    Hui, David S. C.
    RESPIROLOGY, 2014, 19 (04) : 549 - 555
  • [29] Derivation and validation of a risk prediction score for nonsteroidal anti-inflammatory drug-related serious gastrointestinal complications in the elderly
    Lee, Suhyun
    Heo, Kyu-Nam
    Lee, Mee Yeon
    Ah, Young-Mi
    Shin, Jaekyu
    Lee, Ju-Yeun
    BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2023, 89 (07) : 2216 - 2223
  • [30] Can a Novel Clinical Risk Score Improve Pneumonia Prediction in Acute Stroke Care? A UK Multicenter Cohort Study
    Smith, Craig J.
    Bray, Benjamin D.
    Hoffman, Alex
    Meisel, Andreas
    Heuschmann, Peter U.
    Wolfe, Charles D. A.
    Tyrrell, Pippa J.
    Rudd, Anthony G.
    JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2015, 4 (01):