Prevalência de manifestações clínico-laboratoriais e comorbidades na polimiosite segundo o gênero

Souza, Fernando Henrique Carlos de; Levy‐Neto, Maurício; Shinjo, Samuel Katsuyuki

doi:10.1590/s0482-50042011000500003

Cited by 13 publications

(3 citation statements)

References 37 publications

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“…In this retrospective cohort study, 40 of 245 female (16.3%) patients with IIMs develop hypertension, and 14 of 117 male (12.0%) patients with IIMs develop hypertension. Although patients with IIMs occur mostly in females, gender has no significant difference among IIMs patients with and without hypertension ( P = .442), which is consistent with the study by Souza et al 8 Notably, although the baseline of SBP has differences in IIMs patients, the present study finds no statistical significance among “systolic BP (per 10 mmHg)” in the multivariable regression model ( P = .203), which is not in line with the results of the previous studies 12,13 . It may be related to the type of the current study and the relatively small sample size.…”

Section: Discussionsupporting

confidence: 91%

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Development of the prediction model for hypertension in patients with idiopathic inflammatory myopathies

Zhang

Yang

et al. 2021

J of Clinical Hypertension

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Cardiac involvement is an important cause of morbidity and mortality in patients with idiopathic inflammatory myopathies (IIMs). Hypertension, an important cardiovascular risk factor for the general population, has a crucial role in heart involvement. However, few studies have focused on the hypertension associated with IIMs. This study aimed to develop and assess the prediction model for incident hypertension in patients with IIMs. A retrospective cohort study was performed on 362 patients with IIMs, of whom 54 (14.9%) were given a diagnosis of new‐onset hypertension from January 2008 to December 2018. The predictors of hypertension in IIMs were selected by least absolute shrinkage and selection operator (LASSO) regression, multivariable logistic regression, and clinically relevance, and then these predictors were used to draw the nomogram. Discrimination, calibration and clinical usefulness of the model were evaluated using the C‐index, calibration plot, and decision curve analysis, respectively. The predicting model was validated by the bootstrapping validation. The nomogram mainly included predictors such as age, diabetes mellitus, triglyceride, low‐density lipoprotein‐cholesterol (LDL‐C), antinuclear antibodies (ANA), and smoking. This prediction model demonstrated good discrimination with a C‐index of 0.754 (95%CI, 0.684 to 0.824) and good calibration. The C‐index of internal validation was 0.728, and decision curve analysis demonstrated that this nomogram was clinically useful. Clinicians can use this prediction model to assess the risk of hypertension in IIMs patients, and early preventive measures should be taken to reduce the incidence of hypertension in high‐risk patients.

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Section: Discussionsupporting

confidence: 91%

“…6 In addition, the reported prevalence of hypertension in patients with IIMs varies between 38.7% and 71%, based on different patient selection and the definition of the disease, which is also higher than the general population. 5,7,8…”

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confidence: 99%

Development of the prediction model for hypertension in patients with idiopathic inflammatory myopathies

Zhang

Yang

et al. 2021

J of Clinical Hypertension

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“…pointed out that diabetes mellitus was positively associated with mortality in patients with polymyositis and dermatomyositis (HR=2.57, 95%CI: 1.38-4.80, P < 0.0001) ( 9 ). In addition, patients with diabetes mellitus not only reduce the quality of life but also may lead to serious complications that increase medical expenses ( 14 , 15 ). Therefore, it was crucial to predict the risk of developing diabetes mellitus in IIMs patients and then take preventive measures early for high-risk cases, and ultimately reduce the adverse cardiovascular prognosis.…”

Section: Introductionmentioning

confidence: 99%

Predictive model of diabetes mellitus in patients with idiopathic inflammatory myopathies

Nie

Yan

et al. 2023

Front. Endocrinol.

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ObjectivesCardiovascular diseases are the common cause of death in patients with idiopathic inflammatory myopathies (IIMs). Diabetes mellitus was associated with higher cardiovascular mortality, but few studies focused on the risk of diabetes mellitus in IIMs patients. Our study is aimed at developing a predictive model of diabetes mellitus in IIMs patients.MethodsA total of 354 patients were included in this study, of whom 35 (9.9%) were diagnosed as new-onset diabetes mellitus. The predictive nomogram was drawn based on the features selected by least absolute shrinkage and selection operator (LASSO) regression, univariate logistic regression, multivariable logistic regression, and clinical relationship. The discriminative capacity of the nomogram was assessed by C-index, calibration plot, and clinical usefulness. The predictive model was verified by the bootstrapping validation.ResultsThe nomogram mainly included predictors such as age, gender, hypertension, uric acid, and serum creatinine. This predictive model demonstrated good discrimination and calibration in primary cohort (C-index=0.762, 95% CI: 0.677-0.847) and validation cohort (C-index=0.725). Decision curve analysis indicated that this predictive model was clinically useful.ConclusionsClinicians can assess the risk of diabetes mellitus in IIMs patients by using this prediction model, and preventive measures should be taken early for high-risk patients, ultimately reducing the adverse cardiovascular prognosis.

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Quality of life correlates with muscle strength in patients with dermato- or polymyositis

et al. 2017

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The aim of this study was to compare health-related quality of life (HQoL) in adults with dermatomyositis (DM) or polymyositis (PM) with a healthy control group and to assess whether muscle strength was associated with HQoL in patients with DM or PM. A cross-sectional study was performed and included 75 patients with DM or PM and 48 healthy controls. HQoL was assessed by the Short Form 36 questionnaire (SF-36). Muscle strength of the patients was assessed using the Manual Muscle Test-8 (MMT8). Covariables and possible confounding factors were collected by validated tools. Associations were determined in multiple linear regression models. The patients had significantly lower HQoL than the control group in both the physical component summary score (PCS) and the mental component summary score (MCS). Thus, the PCS-difference between groups was 32% (p < 0.001), whereas the MCS-difference was 14% (p < 0.001). Muscle strength was associated with one domain in the patients; Physical Function (β = 1.2; 95% confidence interval 0.37 to 2.1). No statistically significant associations were found between muscle strength and HQoL in the remaining domains. Patients with DM or PM have reduced HQoL compared to healthy controls. Notably, muscle strength was associated with scores of the domain reflecting perceived physical function in patients. These findings corroborate the validity of including selected patient reported outcomes in the evaluation and monitoring of patients with DM or PM.

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Prevalência de manifestações clínico-laboratoriais e comorbidades na polimiosite segundo o gênero

Cited by 13 publications

References 37 publications

Development of the prediction model for hypertension in patients with idiopathic inflammatory myopathies

Development of the prediction model for hypertension in patients with idiopathic inflammatory myopathies

Predictive model of diabetes mellitus in patients with idiopathic inflammatory myopathies

Quality of life correlates with muscle strength in patients with dermato- or polymyositis

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