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1.
Artigo em Inglês | MEDLINE | ID: mdl-38382643

RESUMO

OBJECTIVE: Sleep disturbances are common in patients with type 2 diabetes (T2DM), and this exacerbates disease severity and results in poor quality of life. Brain-derived neurotrophic factor (BDNF) has been reported to mediate the association between T2DM and poor sleep health. The burden of self-reported poor sleep quality and duration in T2DM and their association with serum BDNF levels were investigated. METHODS: In this case-control design, the Pittsburgh Sleep Quality Instrument was used to assess self-reported sleep quality and duration in 100 patients with T2DM and 80 nondiabetic controls. Sociodemographic data and medical history were collected from case notes and/or using a structured questionnaire. Fasting venous blood samples (5 mL) were collected to measure plasma lipid profile and serum BDNF levels. RESULTS: patients with T2DM had low levels of BDNF, poor sleep quality (61.9% vs 27.5%, p<0.001), and shorter sleep duration (6.1±2.2 vs 6.9±1.1 h, p=0.003). T2DM status was associated with doubling the odds of poor sleep quality [OR (95%CI)=2.06 (1.07-6.43), p=0.039] and 1.6 times the odds of short sleep duration [1.63 (1.03-3.79), p=0.028]. Multivariable logistic regression analysis revealed no association between serum BDNF levels and sleep status. However, there was a negative biological interaction between T2DM and BDNF levels on poor sleep quality, resulting in 0.28 relative excess risk due to the interaction and a 12% attributable proportion due to the interaction. CONCLUSION: In this study population, patients with T2DM had a high burden of self-reported poor quality of sleep and shorter sleep duration compared to the nondiabetic controls. T2DM interacts negatively with serum BDNF levels to affect sleep quality.

2.
J Vasc Nurs ; 41(4): 203-208, 2023 12.
Artigo em Inglês | MEDLINE | ID: mdl-38072573

RESUMO

BACKGROUND: Peripheral arterial disease (PAD) is common in HIV patients and can be diagnosed noninvasively using the ankle-brachial index (ABI). The burden of PAD has not been investigated in Ghanaian HIV patients. We investigated the prevalence and risk factors associated with PAD in HIV patients at a periurban hospital in Ghana. METHODS: In a case-control design, ABI was measured in 158 cART-treated HIV patients, 150 cART-naïve HIV patients and 156 non-HIV controls with no clinical symptoms of CVDs. PAD was defined as ABI ≤ 0.9. A structured questionnaire was used to collect socio-demographic and clinical data. Fasting venous blood samples were collected to measure plasma levels of glucose, lipid profile, and CD4+ lymphocytes. RESULTS: The prevalence of PAD was 13.9% among cART-treated HIV patients, 21.3% among cART-naïve HIV patients, and 15.4% among non-HIV controls. Patients with PAD had increased odds of having low CD4+ cell counts [OR (95% CI) = 3.68 (1.41-12.85)]. In cART-treated HIV patients, those on TDF-based [5.76 (1.1-30.01), p = 0.038] and EFV-based [9.28 (1.51-57.12), p = 0.016] regimens had increased odds of having PAD. CONCLUSION: In our study population, there was no difference in the prevalence of PAD between cART-treated HIV patients compared to cART-naïve HIV patients or non-HIV controls. Having a low CD4 cell count and being on TDF- or EFV-based regimens were associated with an increased likelihood of having PAD.


Assuntos
Infecções por HIV , Doença Arterial Periférica , Humanos , Gana/epidemiologia , Infecções por HIV/complicações , Infecções por HIV/tratamento farmacológico , Infecções por HIV/epidemiologia , Estudos de Casos e Controles , Doença Arterial Periférica/complicações , Fatores de Risco , Índice Tornozelo-Braço , Prevalência
3.
AIDS Res Treat ; 2023: 1566001, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36846379

RESUMO

Background: There is an increasing prevalence of cardiovascular diseases (CVDs) and risk factors in HIV patients as the levels of AIDS-related mortality and morbidity decrease. Metabolic syndrome (MetS) is the accumulation of various CVD risk factors that predict the occurrence of CVDs. We investigated the prevalence of MetS and associated risk factors in HIV patients treated with combination antiretroviral therapy (cART), cART-naïve HIV patients, and non-HIV controls. Methods: In a case-control design, 158 cART-treated HIV patients, 150 cART-naïve HIV patients, and 156 non-HIV controls were recruited from a periurban hospital in Ghana. A structured questionnaire was used to collect data on demography, lifestyle, and medication. Anthropometric indices and blood pressure were measured. Fasting blood samples were collected to measure the plasma levels of glucose, lipid profile, and CD4+ cells. The presence of MetS was defined using the joint scientific statement criteria. Results: The prevalence of MetS was higher in cART-treated HIV patients compared with cART-naïve HIV patients and non-HIV controls (57.3% vs. 23.6% vs. 19.2% and p < 0.001, respectively). MetS was associated with cART-treated HIV patients (odds ratio (95% CI) = 7.24 (3.41-15.39) and p < 0.001), cART-naïve HIV patients (2.04 (1.01-4.15), p=0.048), and female gender (2.42 (1.39-4.23) and p=0.002). In cART-treated HIV patients, those on zidovudine (AZT)-based regimens were associated with increased likelihood (3.95 (1.49-10.43) and p < 0.006), while those on tenofovir (TDF)-based had decreased likelihood (0.32 (0.13-0.8) and p=0.015) of having MetS. Conclusion: In our study population, there was a high prevalence of MetS in cART-treated HIV patients compared to cART-naïve HIV patients and non-HIV controls. HIV patients on AZT-based regimens had an increased likelihood of having MetS, while those on TDF-based regimens had a reduced likelihood of having MetS.

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