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1.
Front Public Health ; 12: 1348236, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38384889

RESUMO

Introduction: Knee osteoarthritis (KOA) is a prevalent condition often associated with a decline in patients' physical function. Objective self-assessment of physical conditions poses challenges for many advanced KOA patients. To address this, we explored the potential of a computer vision method to facilitate home-based physical function self-assessments. Methods: We developed and validated a simple at-home artificial intelligence approach to recognize joint stiffness levels and physical function in individuals with advanced KOA. One hundred and four knee osteoarthritis (KOA) patients were enrolled, and we employed the WOMAC score to evaluate their physical function and joint stiffness. Subsequently, patients independently recorded videos of five sit-to-stand tests in a home setting. Leveraging the AlphaPose and VideoPose algorithms, we extracted time-series data from these videos, capturing three-dimensional spatiotemporal information reflecting changes in key joint angles over time. To deepen our study, we conducted a quantitative analysis using the discrete wavelet transform (DWT), resulting in two wavelet coefficients: the approximation coefficients (cA) and the detail coefficients (cD). Results: Our analysis specifically focused on four crucial joint angles: "the right hip," "right knee," "left hip," and "left knee." Qualitative analysis revealed distinctions in the time-series data related to functional limitations and stiffness among patients with varying levels of KOA. In quantitative analysis, we observed variations in the cA among advanced KOA patients with different levels of physical function and joint stiffness. Furthermore, there were no significant differences in the cD between advanced KOA patients, demonstrating different levels of physical function and joint stiffness. It suggests that the primary difference in overall movement patterns lies in the varying degrees of joint stiffness and physical function among advanced KOA patients. Discussion: Our method, designed to be low-cost and user-friendly, effectively captures spatiotemporal information distinctions among advanced KOA patients with varying stiffness levels and functional limitations utilizing smartphones. This study provides compelling evidence for the potential of our approach in enabling self-assessment of physical condition in individuals with advanced knee osteoarthritis.


Assuntos
Osteoartrite do Joelho , Humanos , Autoavaliação (Psicologia) , Inteligência Artificial , Modalidades de Fisioterapia , Smartphone
2.
Medicine (Baltimore) ; 100(45): e27728, 2021 Nov 12.
Artigo em Inglês | MEDLINE | ID: mdl-34766578

RESUMO

RATIONALE: The estimated incidence of anti-glomerular basement membrane (anti-GBM) disease complicated with immunoglobulin A (IgA) nephropathy is minimal, there have only been 15 cases (including this case) reported in the literature, and only 5 (33.33%) of them showed significant improvement in renal function after treatment. Pneumocystis pneumonia is a severe opportunistic pulmonary infection of pneumocystis jiroveci in immunocompromised patients. Here, we report a case of pneumocystis pneumonia secondary to intensive immunosuppression treatment for anti-GBM disease complicated with IgA nephropathy, with no similar reports or studies published before to our knowledge. PATIENT CONCERNS: The patient was admitted to our hospital with a 1-week diagnosis of crescent glomerulonephritis who had been suffered from hematuria and foamy urine for more than 1 month. Before admission, the patient received pulse dose intravenous methylprednisolone and immunosuppression with rituximab, but the renal function and titer of pathogenic antibody did not improve significantly. DIAGNOSIS: Crescentic glomerulonephritis, anti-glomerular basal membrane disease complicated with IgA nephropathy (Type I+II) was pathologically confirmed by renal biopsy. Secondary pneumocystis pneumonia was diagnosed by acute progressive respiratory failure, chest computed tomography and metagenomic next-generation sequencing of transbronchoscopic bronchoalveolar lavage fluid. INTERVENTIONS: The key to successful treatment was to make the pathogenic antibody turn negative quickly by combining pulse dose intravenous methylprednisolone, immunosuppression with rituximab, and plasma exchange therapy. Early identification of pneumocystis pneumonia, accurate etiological identification, and active anti-infective treatment were also crucial. OUTCOMES: The patient was discharged after 16 days of anti-infection with secondary infection controlled and dialysis catheter removed. Up to now, the patient has been followed for a period of 28 weeks, results showed renal function had been repaired even hematuria and proteinuria were basically alleviated. LESSONS: Our case provided experience in the treatment of anti-GBM disease complicated with IgA nephropathy, further proposed the potential therapeutic effects of rituximab, also illustrated low dose hormone combined with tacrolimus can be used as sequential therapy after plasma exchange and intensive immunosuppression. Our research also suggested that resulting in severe immune suppression, a high risk of secondary pneumocystis opportunistic infection should be aware of. metagenomic next-generation sequencing might increase the detection rate of the pathogen.


Assuntos
Doença Antimembrana Basal Glomerular , Glomerulonefrite por IGA , Glomerulonefrite Membranoproliferativa , Terapia de Imunossupressão , Pneumonia por Pneumocystis , Doença Antimembrana Basal Glomerular/complicações , Doença Antimembrana Basal Glomerular/tratamento farmacológico , Hematúria , Humanos , Terapia de Imunossupressão/efeitos adversos , Metilprednisolona/uso terapêutico , Pneumonia por Pneumocystis/complicações , Rituximab
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