The value of mindfulness meditation in the treatment of insomnia.

PURPOSE OF REVIEW: Insomnia is the most common reported sleep disorder with limited treatment options including pharmacotherapy and cognitive behavioral therapy for insomnia. Pharmacotherapy can be complicated by tolerance and significant side-effects and cognitive behavioral therapy for insomnia providers are limited in number. This article reviews mindfulness meditation as an additional therapy for insomnia. RECENT FINDINGS: Both mindfulness-based stress reduction (MBSR) and mindfulness-based therapy for insomnia (MBTI) have been studied in the treatment of insomnia. Randomized controlled studies of MBSR and MBTI have shown overall reduction in sleep latency and total wake time and increase in total sleep time after mindfulness therapy using both patient reported outcome and quantitative measures of sleep. Mindfulness techniques have been shown to be well accepted by patients with long-lasting effects. A three-arm randomized study with MBSR, MBTI, and self-monitoring showed similar improvement in insomnia between the MBSR and MBTI groups, with possibly longer duration of efficacy in the MBTI group. Recent data show that MBTI is also an effective and accepted treatment for insomnia in older patients. SUMMARY: Increasing evidence shows that mindfulness meditation, delivered either via MBSR or MBTI, can be successfully used for the treatment of insomnia with good patient acceptance and durable results.

Predicting Nondiagnostic Home Sleep Apnea Tests Using Machine Learning.

STUDY OBJECTIVES: Home sleep apnea testing (HSAT) is an efficient and cost-effective method of diagnosing obstructive sleep apnea (OSA). However, nondiagnostic HSAT necessitates additional tests that erode these benefits, delaying diagnoses and increasing costs. Our objective was to optimize this diagnostic pathway by using predictive modeling to identify patients who should be referred directly to polysomnography (PSG) due to their high probability of nondiagnostic HSAT. METHODS: HSAT performed as the initial test for suspected OSA within the Veterans Administration Greater Los Angeles Healthcare System was analyzed retrospectively. Data were extracted from pre-HSAT questionnaires and the medical record. Tests were diagnostic if there was a respiratory event index (REI) ≥ 5 events/h. Tests with REI < 5 events/h or technical inadequacy-two outcomes requiring additional testing with PSG-were considered nondiagnostic. Standard logistic regression models were compared with models trained using machine learning techniques. RESULTS: Models were trained using 80% of available data and validated on the remaining 20%. Performance was evaluated using partial area under the precision-recall curve (pAUPRC). Machine learning techniques consistently yielded higher pAUPRC than standard logistic regression, which had pAUPRC of 0.574. The random forest model outperformed all other models (pAUPRC 0.862). Preferred calibration of this model yielded the following: sensitivity 0.46, specificity 0.95, positive predictive value 0.81, negative predictive value 0.80. CONCLUSIONS: Compared with standard logistic regression models, machine learning models improve prediction of patients requiring in-laboratory PSG. These models could be implemented into a clinical decision support tool to help clinicians select the optimal test to diagnose OSA.

Tuberculosis-associated Fibrosing Mediastinitis: Case Report and Literature Review.

Fibrosing mediastinitis is a rare condition defined by the presence of fibrotic mediastinal infiltrates that obliterate normal fat planes. It is a late complication of a previous granulomatous infection, such as histoplasmosis or tuberculosis (TB). Due to its rarity, fibrosing mediastinitis is often under-recognized, and the clinical presentation is variable and dependent on the extent of infiltration or encasement of structures within the mediastinum. We present a case of fibrosing mediastinitis in a man with a prior history of TB, who presented with progressive dyspnea and was found to have chronic mediastinal soft tissue opacities and pulmonary hypertension. His diagnosis was delayed due to the lack of recognition of this clinical/radiographic entity. Fibrosing mediastinitis is a rare entity usually caused by granulomatous disease. Most cases develop as a late complication of histoplasmosis or TB. The presence of calcified mediastinal soft tissue infiltrates on advanced chest imaging can be diagnostic of fibrosing mediastinitis in patients with a prior history of a granulomatous infection once active processes such as malignancy are excluded.