Clinical Scores Predict Acute and Chronic Complications in Pediatric Osteomyelitis: An External Validation

被引:7
|
作者
Vij, Neeraj [1 ]
Singleton, Ian [4 ]
Kang, Paul [2 ]
Esparza, Melissa [3 ]
Burns, Jessica [3 ]
Belthur, Mohan, V [3 ]
机构
[1] Univ Arizona, Coll Med, Phoenix, AZ USA
[2] Univ Arizona, Dept Epidemiol & Biostat, Coll Publ Hlth, Phoenix, AZ USA
[3] Phoenix Childrens Hosp, Dept Orthoped, Main Bldg,Clin B 1919 E Thomas Rd, Phoenix, AZ 85016 USA
[4] San Francisco Orthoped Residency Program, San Francisco, CA USA
关键词
severity of illness index; acute hematogenous osteomyelitis; risk assessment; pediatric infection; risk stratification; SEPTIC ARTHRITIS; CHILDREN; THERAPY; IMPACT;
D O I
10.1097/BPO.0000000000002159
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Background: Pediatric acute hematogenous osteomyelitis (AHO) outcomes are highly dependent on the disease severity. Recently, the A-SCORE and C-SCORE, were proposed as predictors of an acute complicated course and chronic morbidity, respectively. The purpose of this study was to externally validate the A-SCORE and C-SCORE at a single institution. Methods: This IRB-approved retrospective chart review included AHO patients admitted at a tertiary referral hospital between October 1, 2015 and December 31, 2019. The inclusion criteria were ages 0 to 18 and clinical response to treatment. The exclusion criteria were immunocompromised status or penetrating inoculation. Results: The A-SCORE demonstrated an area under the receiver operator curve (ROC area) of >86% with regards to all acute complications. It also demonstrated sensitivities >85% and specificities >92% at the cut-off of 4 (Youden index) for all acute complications. The C-SCORE demonstrated an ROC area of 100% with regards to chronic osteomyelitis. It also demonstrated sensitivities >70% and specificities >93% for the chronic morbidity variables seen in our population at the cut-off of 3 (Youden index.) Conclusions: These novel composite clinical scores, in combination with clinical judgment, could help guide early care decisions. The A-SCORE and C-SCORE are useful risk stratification tools in the management of pediatric AHO and in predicting acute complicated courses or chronic sequelae of AHO, respectively. These scoring systems, if integrated into standardized pediatric AHO guidelines, can allow clinicians to stratify the AHO population and guide clinical decision making.
引用
收藏
页码:341 / 346
页数:6
相关论文
共 50 条
  • [41] External validation and comparison of three scores to predict renal replacement therapy after cardiac surgery: A multicenter cohort
    Vives, Marc
    Monedero, Pablo
    Ramon Perez-Valdivieso, Jose
    Garcia-Fernandez, Nuria
    Lavilla, Javier
    Herreros, Jesus
    Bes-Rastrollo, Maira
    INTERNATIONAL JOURNAL OF ARTIFICIAL ORGANS, 2011, 34 (04): : 329 - 338
  • [42] Population-Based External Validation of the EASIX Scores to Predict CAR T-Cell-Related Toxicities
    de Boer, Janneke W.
    Keijzer, Kylie
    Pennings, Elise R. A.
    van Doesum, Jaap A.
    Spanjaart, Anne M.
    Jak, Margot
    Mutsaers, Pim G. N. J.
    van Dorp, Suzanne
    Vermaat, Joost S. P.
    van der Poel, Marjolein W. M.
    van Dijk, Lisanne V.
    Kersten, Marie Jose
    Niezink, Anne G. H.
    van Meerten, Tom
    Dutch CAR-T Tumorboard Consortium
    CANCERS, 2023, 15 (22)
  • [43] External validation of risk scores to predict in-hospital mortality in patients hospitalized due to coronavirus disease 2019
    Hassan, Shermarke
    Ramspek, Chava L.
    Ferrari, Barbara
    van Diepen, Merel
    Rossio, Raffaella
    Knevel, Rachel
    la Mura, Vincenzo
    Artoni, Andrea
    Martinelli, Ida
    Bandera, Alessandra
    Nobili, Alessandro
    Gori, Andrea
    Blasi, Francesco
    Canetta, Ciro
    Montano, Nicola
    Rosendaal, Frits R.
    Peyvandi, Flora
    EUROPEAN JOURNAL OF INTERNAL MEDICINE, 2022, 102 : 63 - 71
  • [44] DEVELOPMENT AND VALIDATION OF MACHINE LEARNING MODELS TO PREDICT OUTCOMES IN UGIB WITH COMPARISON TO CLINICAL RISK SCORES
    Shung, Dennis
    Au, Benjamin
    Taylor, Richard A.
    Tay, Kenneth
    Laursen, Stig B.
    Stanley, Adrian J.
    Dalton, Harry
    Ngu, Jing Hieng
    Schultz, Michael
    Laine, Loren
    GASTROENTEROLOGY, 2019, 156 (06) : S64 - S64
  • [45] Pediatric Transport-Specific Illness Severity Scores Predict Clinical Deterioration of Transported Patients
    Schmidt, Carly D.
    Thompson, Alexis N.
    Welsh, Sarah S.
    Simas, Darlene
    Carreiro, Patricia
    Rozenfeld, Ranna A.
    PEDIATRIC EMERGENCY CARE, 2022, 38 (08) : E1449 - E1453
  • [46] Can clinical parameters predict fractures in acute pediatric wrist injuries?
    Pershad, J
    Monroe, K
    King, W
    Bartle, S
    Hardin, E
    Zinkan, L
    ACADEMIC EMERGENCY MEDICINE, 2000, 7 (10) : 1152 - 1155
  • [47] External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection
    Beauregard-Paultre, Catherine
    Abou Chakra, Claire Nour
    McGeer, Allison
    Labbe, Annie-Claude
    Simor, Andrew E.
    Gold, Wayne
    Muller, Matthew P.
    Powis, Jeff
    Katz, Kevin
    Cadarette, Suzanne M.
    Pepin, Jacques
    Valiquette, Louis
    PLOS ONE, 2019, 14 (12):
  • [48] External validation of a simple clinical tool used to predict falls in people with Parkinson disease
    Duncan, Ryan P.
    Cavanaugh, James T.
    Earhart, Gammon M.
    Ellis, Terry D.
    Ford, Matthew P.
    Foreman, K. Bo
    Leddy, Abigail L.
    Paul, Serene S.
    Canning, Colleen G.
    Thackeray, Anne
    Dibble, Leland E.
    PARKINSONISM & RELATED DISORDERS, 2015, 21 (08) : 960 - 963
  • [49] Role of Cardiac Risk Scores in Clinical Use to Predict Outcomes of Acute Ischemic Stroke
    Ozcan, Sevgi
    Donmez, Esra
    Coban, Eda
    Korkut, Elif
    Ziyrek, Murat
    Sahin, Irfan
    Okuyan, Ertugrul
    NEUROLOGY INDIA, 2023, 71 (06) : 1197 - 1204
  • [50] External validation of hepatocellular carcinoma risk scores in patients with chronic hepatitis B virus infection in China
    Lou, Tao
    Li, Bin
    Xiong, Pian
    Jin, Caiting
    Chen, Yagang
    JOURNAL OF VIRAL HEPATITIS, 2021, 28 (10) : 1373 - 1380