Sensitivity and specificity of patient-entered red flags for lower back pain.


Journal

The spine journal : official journal of the North American Spine Society
ISSN: 1878-1632
Titre abrégé: Spine J
Pays: United States
ID NLM: 101130732

Informations de publication

Date de publication:
02 2019
Historique:
received: 16 03 2018
revised: 12 06 2018
accepted: 13 06 2018
pubmed: 1 7 2018
medline: 18 12 2019
entrez: 1 7 2018
Statut: ppublish

Résumé

Red flags are questions typically ascertained by providers to screen for serious underlying spinal pathologies. The utility of patient-reported red flags in guiding clinical decision-making for spine care, however, has not been studied. The aim of this study was to quantify the sensitivity and specificity of patient-reported red flags in predicting the presence of serious spinal pathologies. This was a retrospective nested case-control study. This study consisted of 120 patients with International Classification of Diseases, Ninth Revision, Clinical Modification codes for spinal pathologies and 380 randomly selected patients, from a population of 4,313 patients seen at a large tertiary care spine clinic between October 9, 2013 and June 30, 2014. The presence of patient-reported red flags and red flags obtained from medical records was verified for chart review. The spinal pathology (ie, malignancy, fractures, infections, or cauda equina syndrome) was noted for each patient. The sensitivity and specificity of patient-reported red flags for detecting serious spinal pathologies were calculated from data obtained from the 500 patients. Youden's J was used to rank performance. Agreement between patient-reported red flags and those obtained from medical record review was assessed via Cohen's kappa statistic. "History of cancer" was the best performing patient-reported red flag to identify malignancy (sensitivity=0.75 [95% confidence intervals, CI 0.53-0.90], specificity=0.79 [95% CI 0.75-0.82]). The best performing patient-reported red flag for fractures was the presence of at least one of the following: "Osteoporosis," "Steroid use," and "Trauma" (sensitivity=0.59 [95% CI 0.44-0.72], specificity=0.65 [95% CI 0.60-0.69]). The prevalence of infection and cauda equina diagnoses was insufficient to gauge sensitivity and specificity. Red flags from medical records had better performance than patient-reported red flags. There was poor agreement between patient red flags and those obtained from medical record review. Patient-reported red flags had low sensitivity and specificity for identification of serious pathologies. They should not be used in insolation to make treatment decisions, although they may be useful to prompt further probing to determine if additional investigation is warranted.

Sections du résumé

BACKGROUND CONTEXT
Red flags are questions typically ascertained by providers to screen for serious underlying spinal pathologies. The utility of patient-reported red flags in guiding clinical decision-making for spine care, however, has not been studied.
PURPOSE
The aim of this study was to quantify the sensitivity and specificity of patient-reported red flags in predicting the presence of serious spinal pathologies.
STUDY DESIGN
This was a retrospective nested case-control study.
PATIENT SAMPLE
This study consisted of 120 patients with International Classification of Diseases, Ninth Revision, Clinical Modification codes for spinal pathologies and 380 randomly selected patients, from a population of 4,313 patients seen at a large tertiary care spine clinic between October 9, 2013 and June 30, 2014.
OUTCOME MEASURES
The presence of patient-reported red flags and red flags obtained from medical records was verified for chart review. The spinal pathology (ie, malignancy, fractures, infections, or cauda equina syndrome) was noted for each patient.
METHODS
The sensitivity and specificity of patient-reported red flags for detecting serious spinal pathologies were calculated from data obtained from the 500 patients. Youden's J was used to rank performance. Agreement between patient-reported red flags and those obtained from medical record review was assessed via Cohen's kappa statistic.
RESULTS
"History of cancer" was the best performing patient-reported red flag to identify malignancy (sensitivity=0.75 [95% confidence intervals, CI 0.53-0.90], specificity=0.79 [95% CI 0.75-0.82]). The best performing patient-reported red flag for fractures was the presence of at least one of the following: "Osteoporosis," "Steroid use," and "Trauma" (sensitivity=0.59 [95% CI 0.44-0.72], specificity=0.65 [95% CI 0.60-0.69]). The prevalence of infection and cauda equina diagnoses was insufficient to gauge sensitivity and specificity. Red flags from medical records had better performance than patient-reported red flags. There was poor agreement between patient red flags and those obtained from medical record review.
CONCLUSIONS
Patient-reported red flags had low sensitivity and specificity for identification of serious pathologies. They should not be used in insolation to make treatment decisions, although they may be useful to prompt further probing to determine if additional investigation is warranted.

Identifiants

pubmed: 29959102
pii: S1529-9430(18)30621-1
doi: 10.1016/j.spinee.2018.06.342
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

293-300

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

John T Tsiang (JT)

Center for Spine Health, Neurological Institute, Cleveland Clinic, Cleveland, OH 44195, USA; School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA. Electronic address: john.tsiang@case.edu.

Tyler G Kinzy (TG)

Center for Outcomes Research and Evaluation, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA; Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.

Nicolas Thompson (N)

Center for Outcomes Research and Evaluation, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA; Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.

Joseph E Tanenbaum (JE)

Center for Spine Health, Neurological Institute, Cleveland Clinic, Cleveland, OH 44195, USA; School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.

Nitya L Thakore (NL)

Center for Outcomes Research and Evaluation, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.

Tagreed Khalaf (T)

Center for Spine Health, Neurological Institute, Cleveland Clinic, Cleveland, OH 44195, USA.

Irene L Katzan (IL)

Center for Outcomes Research and Evaluation, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.

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