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This study represents the first T1-T2 relaxation correlation experiment performed in a Li ion cell. The T1-T2 correlation maps suggest lithium intercalated into graphite is detected by this methodology in addition to other Li species.<br /><br /> A decline in sleep quality, slow wave sleep (SWS) and slow wave activity (SWA) are common in older adults. Prior studies have shown that manipulating body temperature during sleep can increase SWS/SWA. The aim of this study was to determine the effects of manipulation of body temperatures during sleep, using a high heat capacity mattress, on SWS/SWA and heart rate in post-menopausal women.<br /><br /> Twenty-four healthy postmenopausal women between 40 and 75 years of age (mean age 62.4±8.2 years, mean BMI 25.4±3.5kg/m<br /><br /> ) were randomized in a single-blind, counterbalanced, cross-over manner to sleep on either a high heat capacity mattress (HHCM) or a low heat capacity mattress (LHCM) a week apart. Sleep was recorded using polysomnography during an 8-h sleep opportunity. Core and peripheral temperature were recorded using an ingestible capsule and thermochron respectively.<br /><br /> In comparison to the LHCM, sleep on HHCM exhibited a selective increase in SWS (average increase in Stage N3 of 9.6min (2.1%), p=0.04) and in slow oscillatory (SO) activity (0.5-1Hz) in the first NREM/REM cycle (p=0.04). In addition, the HHCM induced a greater reduction in core body temperature (p=0.002). [https://www.selleckchem.com/products/ly3200882.html LY 3200882 TGF-beta inhibitor] The reduction in core body temperature (first 180min after lights out) from LHCM to HHCM was associated (r=0.5, p=0.012) with the increase in SO activity (SO cycle 1 and 2/cycle 3 and 4). Average heart rate was 1.6 beats/minute lower across the night on the HHCM compared to the LHCM (p=0.001).<br /><br /> The results of this study indicate that manipulation of body temperature during sleep may be a useful approach to enhance SWS sleep in postmenopausal women.<br /><br />The results of this study indicate that manipulation of body temperature during sleep may be a useful approach to enhance SWS sleep in postmenopausal women.<br /><br /> Patients with epilepsy have disrupted sleep architecture and a higher prevalence of sleep disturbance. Moreover, obstructive sleep apnea (OSA) is more common among patients with refractory epilepsy. Few studies have compared subjective sleep quality, sleep architecture, and prevalence of OSA between patients with refractory epilepsy and those with medically controlled epilepsy. Therefore, this study aimed to evaluate the differences in sleep quality, sleep architecture, and prevalence of OSA between patients with refractory epilepsy and patients with medically controlled epilepsy.<br /><br /> This retrospective case-control study included 38 patients with refractory epilepsy and 96 patients with medically controlled epilepsy. Sleep parameters and indices of sleep-related breathing disorders were recorded by standard in-laboratory polysomnography. The scores from sleep questionnaires on sleep quality and daytime sleepiness were compared between the two groups.<br /><br /> Patients with refractory epilepsy versus medically contr to OSA.<br /><br /> After initial emergency department (ED) management of acute renal colic, recurrent or ongoing severe pain is the usual pathway to ED revisits, hospitalizations and rescue interventions. If index visit pain severity is associated with stone size or with subsequent failure of conservative management, then it might be useful in identifying patients who would benefit from early definitive imaging or intervention. Our objectives were to determine whether pain severity correlates with stone size, and to evaluate its utility in predicting important outcomes.<br /><br /> We used administrative data and structured chart review to study all ED patients with CT proven renal colic at six hospitals in two cities over one-year. Triage nurses recorded arrival numeric rating scale (NRS) pain scores. We excluded patients with missing pain assessments and stratified eligible patients into severe (NRS 8-10) and less-severe pain groups. Stone parameters were abstracted from imaging reports, while hospitalizations and interventions were worse prognosis.<br /><br /> Upper gastrointestinal bleeding is one of the common causes of mortality and morbidity. The Rockall score (RS) and Glasgow-Blatchford score (GBS) are frequently used in determining the prognosis and predicting in-hospital adverse events, such as mortality, re-bleeding, hospital stay, and blood transfusion requirements. The quick Sepsis Related Organ Failure Assessment (qSOFA) score is easy and swift to calculate. The commonly used scores and the qSOFA score were compared and why and when these scores are most useful was investigated.<br /><br /> 133 patients admitted to the emergency department with upper gastrointestinal bleeding over the period of a year, were evaluated in this retrospective study. The RS, GBS and qSOFA score were calculated for each patient, and their relationship with in-hospital adverse events, such as length of hospitalization, rebleeding, endoscopic treatment, blood transfusion requirements, and mortality, was investigated.<br /><br /> The mean overall GBS was 9.72±3.72 (0-19), while that of patients whupper gastrointestinal bleeding.<br /><br />Early use of risk stratification scores in upper gastrointestinal bleeding is important due to the high risk of morbidity and mortality. All scoring systems were effective in predicting mortality, the need for intensive care, and re-bleeding. The GBS had a greater predictive power in terms of mortality and transfusion need, the qSOFA score for intensive care need, and the RS for re-bleeding. The simpler, more efficient, and more easily calculated qSOFA score can be used to estimate the severity of patients with upper gastrointestinal bleeding.<br /><br /> Symptomatic intracranial hemorrhage (sICH) is a severe complication of revascularization therapy. We aimed to investigate the association of admission hyperglycemia and sICH after mechanical thrombectomy in patients with acute ischemic stroke.<br /><br /> We systematically searched PubMed, EMBASE and Cochrane Library to identify studies that reported incidence of sICH in patients with admission hyperglycemia and normoglycemia, or with and without a history of diabetes, or glucose level in patients with sICH and non-sICH from inception to December 10, 2019. The estimate effects were pooled by random-effects model.<br /><br /> Twelve eligible studies were included with 4892 patients enrolled. The risk of sICH was significantly higher in admission hyperglycemia patients than that in normoglycemia (OR 2.93, 95% CI 1.34-6.42, p = 0.007; adjusted OR1.95, 95% CI 1.22-3.13; p=0.006). The admission glucose level was significantly higher in sICH patients than that in non-sICH with a mean difference of 37.49 (95% CI 3.03-71.94, p=0.03). The risk of sICH increased with elevating glucose level (adjusted OR 1.