A relationship between musculoskeletal pain and prognosis in hospitalized COVID-19 patients

Demirel, Esra; Şahin, Ali; Utlu, Mustafa; Çepni, Şahin; Veizi, Enejd; Veizi, Betül Gülsüm Yavuz

doi:10.32322/jhsm.899515

Cited by 4 publications

(2 citation statements)

References 35 publications

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“…Mono-or oligo-articular arthritis was predominat in the lower limbs and not associated with enthesitis or inflammatory back pain as reported by Taha et al [26] . Demirel et al [27] . They studied 154 hospitalized cases, and their observations were reported during the admission period (71.4% and 55.8%, respectively) that is similar to our observation.…”

Section: Discussionmentioning

confidence: 99%

Beyond the Lung: Exploring Musculoskeletal and Rheumatological Complications in Post-COVID-19 Survivors

2023

The Egyptian Journal of Hospital Medicine

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Background: Post-COVID-19 infection patients often present to rheumatology clinics with a variety of musculoskeletal complaints; some objective findings in particular merit special attention. Objective: The goal of this study was to assess post-COPIVID-19 survivors who have recently developed musculoskeletal problems and to ascertain whether there is a relationship between the current presentation and the course of the prior infection. Methods: In this cross-sectional research, 102 post-COVID-19 patients with musculoskeletal complaints were recruited from the Outpatient Rheumatology Clinic. A detailed medical history of the current complaint as well as prior to COVID-19 infection was analysed. Joints, mucocutanous, proximal and distal muscles, and peripheral nerves were evaluated and neurophysiological studies were also conducted. Results: 64 males and 38 females with mean age of 41.6 ± 12.7 years and duration of COVID-19 infection was 13.6 ± 7.3 days. Duration of the current musculoskeletal complaints was 3.6 ± 1.8 weeks. Arthralgia and myalgias were reported by 58.8 % and 36.3% respectively, while arthritis was observed in 17.6%. Paresthesia, and motor waekness were reported by 19.6% and 22.5% respectively. 39.2% of the involved group exhibited objective findings and 31.4 % of patients had neurophysiological abnormalities. Conclusions: Arthralgia, myalgias, arthritis and mononeuritis are the most prevelant manifestations in post-COVID-19 survivors with new onset musculoskeletal complaints. Increasing age, smoking history, increased duration and severity of prior infection are predisposing factors for neuritis.

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Section: Discussionmentioning

confidence: 99%

Beyond the Lung: Exploring Musculoskeletal and Rheumatological Complications in Post-COVID-19 Survivors

2023

The Egyptian Journal of Hospital Medicine

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“…Factors associated with neurological and musculoskeletal pain symptoms in multiple logistic regressionDiscussionIn this study more than half of the patients (66, 53.7%) developed "neurological and musculoskeletal pain symptoms" in the form of headache (43.9%), generalized myalgia (31.8%), and polyarthralgia (25.7%). Demirel et al[28] reported that among 154 COVID-19 hospitalized Turkish patients, 71.4% developed myalgia (71.4%) and 55.8% arthralgia, respectively. Similarly, Jena et al[23] reported pain symptoms among 61.5% of COVID-19 patients.…”

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confidence: 99%

COVID-19-Related Neurological and Musculoskeletal Pain Symptoms- A Cross-Sectional Study

2022

pnr

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Background: The neurological and musculoskeletal pain symptoms should be taken seriously when dealing with the acute phase of COVID-19 patients. This study aims to explore the neurological and musculoskeletal pain symptoms among confirmed COVID-19 patients.Methods: A cross-sectional study was conducted from 1st July to 30th August at the Baquba teaching hospital, Diyala province, Iraq. Medical records of one hundred and twenty-three hospitalized COVID-19 patients have been investigated for neurological and musculoskeletal pain symptoms. Descriptive, bivariate, and multiple logistic regression were performed to predict the prevalence of pain symptoms. SPSS version 16 was recruited to analyze the data, and the statistically significant was considered at less than 0.05.Results: The mean age of respondents was 46.38 (+ 12.37). Most of the patients were males (60.2%), with mild severity of COVID-19 (59.3%), had not been vaccinated yet (78.0%), tobacco smokers (38.2%), and had a history of DM (43.3%) and HT (25.4%), respectively. More than half of patients (66, 53.7%) developed at least one pain symptom after confirming the diagnosis of COVID-19 infection. The highest Prevalence of pain symptoms was headache (43.9%), neuropathic pain (34.8%), generalized myalgia (31.8%), polyarthralgia (25.7%), and low back pain (22.7%). In multiple logistic regression, the patients aged 50 years and above (odds ratio (OR) = 10.577, 95% CI: 2.867 to 9.029, P <0.001), males (OR = 3.769, 95% CI: 2.826 to 8.593, P=0.027), presence of comorbidities (OR = 6.407, 95% CI: 1.820 to 3.557, P = 0.004), the severity of COVID-19 (moderate to severe) (OR = 10.229, 95% CI: 2.450 to 6.714, P=0.001), and tobacco smoking (OR = 4.225, 95% CI: 1.160 to 5.390, P=0.029), were significantly associated with the presence of neurological and musculoskeletal pain symptoms (p < 0.001).Conclusion: Much evidence suggests the emergence of neuropathic and musculoskeletal pain symptoms in the acute phase of COVID-19 infection. Therefore, priority should be given to such symptoms when clinicians tried to diagnose COVID-19 patients.

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Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases

Lindén

Hanses

Domingo‐Fernándéz

et al. 2021

Artificial Intelligence in the Life Sciences

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Despite available vaccinations COVID-19 case numbers around the world are still growing, and effective medications against severe cases are lacking. In this work, we developed a machine learning model which predicts mortality for COVID-19 patients using data from the multi-center ‘Lean European Open Survey on SARS-CoV-2-infected patients’ (LEOSS) observational study (>100 active sites in Europe, primarily in Germany), resulting into an AUC of almost 80%. We showed that molecular mechanisms related to dementia, one of the relevant predictors in our model, intersect with those associated to COVID-19. Most notably, among these molecules was tyrosine kinase 2 (TYK2), a protein that has been patented as drug target in Alzheimer's Disease but also genetically associated with severe COVID-19 outcomes. We experimentally verified that anti-cancer drugs Sorafenib and Regorafenib showed a clear anti-cytopathic effect in Caco2 and VERO-E6 cells and can thus be regarded as potential treatments against COVID-19. Altogether, our work demonstrates that interpretation of machine learning based risk models can point towards drug targets and new treatment options, which are strongly needed for COVID-19.

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A relationship between musculoskeletal pain and prognosis in hospitalized COVID-19 patients

Cited by 4 publications

References 35 publications

Beyond the Lung: Exploring Musculoskeletal and Rheumatological Complications in Post-COVID-19 Survivors

Beyond the Lung: Exploring Musculoskeletal and Rheumatological Complications in Post-COVID-19 Survivors

COVID-19-Related Neurological and Musculoskeletal Pain Symptoms- A Cross-Sectional Study

Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases

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