Red flags for spinal pain in patients diagnosed with spinal infection in Nigeria: A 10-year medical records review.

Adolescent Humans Fatigue Low Back Pain / diagnosis Medical Records Nigeria
Musculoskeletal Physiotherapy Red flags Spinal infection Spinal pain

Journal

Musculoskeletal science & practice
ISSN: 2468-7812
Titre abrégé: Musculoskelet Sci Pract
Pays: Netherlands
ID NLM: 101692753

Informations de publication

Date de publication:
08 2022
Historique:
received: 19 01 2022
revised: 23 03 2022
accepted: 25 04 2022
pubmed: 11 5 2022
medline: 11 6 2022
entrez: 10 5 2022
Statut: ppublish

Résumé

Spinal infection is a diagnostic challenge, the personal and economic consequences of misdiagnosis can be significant resulting in paralysis and instability of the spine and can ultimately be fatal. To aid identification of those at risk of spinal infection, a better understanding of the red flags for spinal infection is needed. To better understand which red flags may help to identify spinal infection. and Methods: A 10-year medical records review of red flags for spinal infection in Nigeria, using a bespoke data extraction tool. Univariable and multivariable logistic regression was used to identify the main independent predictors of spinal pain. 124,913 records were reviewed, 1,645 patients were diagnosed with spinal infection. 79% of patients presented with spinal pain Univariable analysis revealed nine factors (some centres, all age groups above 16 years, co-morbidities, environmental factors, history of TB, radicular pain, pins and needles, numbness and spine tenderness.) were associated with greater odds (OR = 1.77-21.7, p < 0.001), whilst four (some centres, fatigue, fever and myotomal weakness) were associated with lower odds (OR = 0.51-0.59) of spine pain. Six factors were included in the final multivariable model associated with higher odds of spine pain: age groups above 16 years (OR 2.57 to 5.33, p < 0.05), co-morbidity (OR = 1.68, p < 0.05), history of TB (OR = 3.02, p < 0.05), weight loss (OR = 1.75, p < 0.01), radicular pain (OR = 19.88, p < 0.001); spine tenderness (OR = 6.54, p < 0.001). Myotomal weakness (OR = 0.66, p < 0.05) and fatigue (OR = 0.50, p < 0.01) were associated with lower odds of spinal pain in the final model. Using data from ten hospitals in Nigeria within a ten-year period, we have produced a shortlist of red flags that can inform clinical decision making about potential spinal infection.

Sections du résumé

BACKGROUND
Spinal infection is a diagnostic challenge, the personal and economic consequences of misdiagnosis can be significant resulting in paralysis and instability of the spine and can ultimately be fatal. To aid identification of those at risk of spinal infection, a better understanding of the red flags for spinal infection is needed.
OBJECTIVE
To better understand which red flags may help to identify spinal infection.
DESIGN
and Methods: A 10-year medical records review of red flags for spinal infection in Nigeria, using a bespoke data extraction tool. Univariable and multivariable logistic regression was used to identify the main independent predictors of spinal pain.
RESULTS
124,913 records were reviewed, 1,645 patients were diagnosed with spinal infection. 79% of patients presented with spinal pain Univariable analysis revealed nine factors (some centres, all age groups above 16 years, co-morbidities, environmental factors, history of TB, radicular pain, pins and needles, numbness and spine tenderness.) were associated with greater odds (OR = 1.77-21.7, p < 0.001), whilst four (some centres, fatigue, fever and myotomal weakness) were associated with lower odds (OR = 0.51-0.59) of spine pain. Six factors were included in the final multivariable model associated with higher odds of spine pain: age groups above 16 years (OR 2.57 to 5.33, p < 0.05), co-morbidity (OR = 1.68, p < 0.05), history of TB (OR = 3.02, p < 0.05), weight loss (OR = 1.75, p < 0.01), radicular pain (OR = 19.88, p < 0.001); spine tenderness (OR = 6.54, p < 0.001). Myotomal weakness (OR = 0.66, p < 0.05) and fatigue (OR = 0.50, p < 0.01) were associated with lower odds of spinal pain in the final model.
CONCLUSION
Using data from ten hospitals in Nigeria within a ten-year period, we have produced a shortlist of red flags that can inform clinical decision making about potential spinal infection.

Identifiants

DOI: 10.1016/j.msksp.2022.102571 PMID: 35537376
pubmed: 35537376
pii: S2468-7812(22)00070-4
doi: 10.1016/j.msksp.2022.102571
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102571

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

James Selfe (J)

Department of Health Professions, Faculty of Health and Education Manchester Metropolitan University, United Kingdom; Visiting Academic in Physiotherapy Studies, Satakunta University of Applied Sciences, Pori, Finland. Electronic address: j.selfe@mmu.ac.uk.

Chidozie Mbada (C)

Department of Medical Rehabilitation, College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria; Visiting Research Fellow, Department of Health Professions, Faculty of Health and Education Manchester Metropolitan University, United Kingdom.

Bashir Kaka (B)

Department of Physiotherapy, Faculty of Allied Health Sciences, College of Health Sciences, Bayero University Kano, Kano, Nigeria.

Adesola Odole (A)

Department of Physiotherapy, Faculty of Clinical Sciences, College of Medicine, University of Ibadan, Nigeria.

Jane Ashbrook (J)

Department of Health Professions, Faculty of Health and Education Manchester Metropolitan University, United Kingdom.

Mohamed Yusuf (M)

Musculoskeletal Science and Sports Medicine Research Centre, Department of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, United Kingdom; Manchester Metropolitan University, Institute of Sport, Manchester, United Kingdom.

Nick Dobbin (N)

Department of Health Professions, Faculty of Health and Education Manchester Metropolitan University, United Kingdom.

Dave Lee (D)

Audubon PM Associates, Inc., United Kingdom.

Francis Fatoye (F)

Department of Health Professions, Faculty of Health and Education Manchester Metropolitan University, United Kingdom.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adolescent › Red flags for spinal pain in patients...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Red flags for spinal pain in patients...
questionsmedicales.fr › États, signes et symptômes pathologiques › Signes et symptômes › Fatigue › Red flags for spinal pain in patients...
questionsmedicales.fr › États, signes et symptômes pathologiques › Signes et symptômes › Manifestations neurologiques › Dorsalgie › Lombalgie › Red flags for spinal pain in patients...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Documents › Dossiers médicaux › Red flags for spinal pain in patients...
questionsmedicales.fr › Régions géographiques › Afrique › Afrique subsaharienne › Afrique de l'Ouest › Nigeria › Red flags for spinal pain in patients...