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1.
BMC Pulm Med ; 23(1): 252, 2023 Jul 10.
Artigo em Inglês | MEDLINE | ID: mdl-37430219

RESUMO

BACKGROUND: Pleural disease (PD), particularly malignant pleural effusion (MPE), is a common cause of hospital admission and its prevalence is rising worldwide. Recent advances in diagnostic and therapeutic options, such as Indwelling Pleural Catheters (IPCs), have simplified PD treatment, allowing an effective outpatients management. Therefore, dedicated pleural services can improve PD care, guaranteeing specialized management and optimizing time and cost. We aimed to provide an overview on MPE management in Italy, mainly focused on distribution and characteristics of pleural services and IPCs use. METHODS: A nationwide survey, endorsed by the Italian Thoracic Society, was distributed by email to members of selected subgroups in 2021. RESULTS: Ninety (23%) members replied, most of whom being pulmonologists (91%). MPE resulted the most common cause of pleural effusion and was managed with heterogenous approaches, including talc pleurodesis via slurry (43%), talc poudrage (31%), repeated thoracentesis (22%) and IPCs insertion (2%). The setting of IPC insertion was inpatient care in 48% of cases, with a predominance of draining frequency every other day. IPC management mainly relied on caregivers (42%). The presence of a pleural service was reported by 37% of respondents. CONCLUSIONS: The present study provides an extensive overview of MPE management in Italy, showing a highly heterogeneous approach, a scarce prevalence of out-patient pleural services, and a still limited adoption of IPCs, mainly due to lack of dedicated community care systems. This survey emphasizes the need of promoting a higher spreading of pleural services and an innovative healthcare delivery with more favourable cost-benefit ratio.


Assuntos
Doenças Pleurais , Derrame Pleural Maligno , Humanos , Derrame Pleural Maligno/terapia , Talco , Pleura , Itália
2.
Medicine (Baltimore) ; 98(32): e16687, 2019 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-31393370

RESUMO

Obstructive sleep apnea (OSA) has a high prevalence in patients with obesity. Only patients with clinical symptoms of OSA are admitted to polysomnography; however, many patients with OSA are asymptomatic. We aimed to create and validate a population-based risk score that predicts the severity of OSA in patients with obesity.We here report the cross-sectional analysis at baseline of an ongoing study investigating the long-term effect of bariatric surgery on OSA. One-hundred sixty-one patients of the Obesity Center of the Catholic University Hospital in Rome, Italy were included in the study. The patients underwent overnight cardiorespiratory monitoring, blood chemistry analyses, hepatic ultrasound, and anthropometric measurements. The patients were divided into 2 groups according OSA severity assessed by the apnea-hypopnea index (AHI): AHI < 15 = no or mild and AHI ≥ 15 moderate to severe OSA. A statistical prediction model was created and validated. C statistics was used to evaluate the discrimination performance of the model.The prevalence of OSA was 96.3% with 74.5% of the subjects having moderate/severe OSA. Sex, body mass index, diabetes, and age were included in the final prediction model that had excellent discrimination ability (C statistics equals to 83%). An OSA risk chart score for clinical use was created.Patients with severe obesity are at a very high risk for moderate or severe OSA in particular if they are men, older, more obese, and/or with type 2 diabetes. The OSA risk chart can be useful for general practitioners and patients as well as for bariatric surgeons to select patients with high risk of moderate to severe OSA for further polysomnography.


Assuntos
Obesidade Mórbida/fisiopatologia , Apneia Obstrutiva do Sono/diagnóstico , Apneia Obstrutiva do Sono/epidemiologia , Adulto , Fatores Etários , Índice de Massa Corporal , Estudos Transversais , Diabetes Mellitus/epidemiologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Modelos Estatísticos , Obesidade Mórbida/epidemiologia , Prevalência , Curva ROC , Análise de Regressão , Fatores de Risco , Sensibilidade e Especificidade , Índice de Gravidade de Doença , Fatores Sexuais
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