Unlabelled: Chagas disease (Ch) affects 8-10 million people in Latin America, most of them are poor. Sudden death (SD) is the major cause of death in patients with Ch. To the best of our knowledge, the present report covers the largest reported series comparing the SD of Ch versus non-Ch patients Objective: To compare the circadian rhythm of SD in Ch versus non-Ch patients.
Methods: Retrospective analysis of all the cases of SD recorded in our department, including autopsied patients from 1963 until 2011. The pattern of SD of 262 patients (116 Ch and 146 non-Ch), 56.7% men, average age 54, 6 years old, divided into four groups: Group A: Ch with SD (n = 38), Group B: non-Ch with SD (n = 58), Group C. Ch with non SD (n = 89), and Group D: non-Ch with non SD (n = 81). For the statistical analysis, proportion comparison was used.
Results: 44.7% (17/38) of SDs in Group A (Ch) occurred between 6 a.m. and 5:59 p.m., while for Group B (not Ch) 70.7% (41 /58) died in that time (p < 0.005). 55.3% (21/38) of the SD in Group A (Ch) occurred between 6 p.m. and 5:59 a.m. compared with 29.3% (17/58) in Group B (p < 0, 005).
Conclusions: Circadian rhythm of SD in patient with Ch differs from those with non-Ch. In Ch patients, SD occurs predominantly during the night compared with non-Ch SD that occurs predominantly during the day especially during the morning.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/07420528.2017.1293086 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Chronic Jet Lag Disrupts Circadian Rhythms and Induces Hyperproliferation in Murine Lacrimal Glands via ROS Accumulation.
Invest Ophthalmol Vis Sci
January 2025
Department of Ophthalmology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China.
Purpose: Chronic jet lag (CJL) is known to disrupt circadian rhythms, which regulate various physiological processes, including ocular surface homeostasis. However, the specific effects of CJL on lacrimal gland function and the underlying cellular mechanisms remain poorly understood.
Methods: A CJL model was established using C57BL/6J mice.
Do patients with severe acne vulgaris prefer the evening chronotype more? A case-control study.
Arch Dermatol Res
January 2025
Department of Child and Adolescent Psychiatry, Sivas Numune Hospital, Sivas, Turkey.
This study aimed to investigate sleep quality, chronotype preferences, anxiety, and depression levels in patients diagnosed with acne vulgaris and compare them with healthy controls. This cross-sectional case-control study included 92 patients with acne vulgaris and 59 age- and sex-matched healthy controls. Acne severity was assessed using the Global Acne Grading System (GAGS); sleep quality using the Pittsburgh Sleep Quality Index (PSQI); chronotype preferences using the Morningness-Eveningness Questionnaire (MEQ); and anxiety and depression levels using the Beck Anxiety Inventory (BAI) and Beck Depression Inventory (BDI).
View Article and Find Full Text PDFFeasibility and acceptability for LION, a fully remote, randomized clinical trial within the VA for light therapy to improve sleep in Veterans with and without TBI: An MTBI2 sponsored protocol.
PLoS One
January 2025
VA Portland Health Care System, Portland, Oregon, United States of America.
Sleep-wake disturbances frequently present in Veterans with mild traumatic brain injury (mTBI). These TBI-related sleep impairments confer significant burden and commonly exacerbate other functional impairments. Therapies to improve sleep following mTBI are limited and studies in Veterans are even more scarce.
View Article and Find Full Text PDFReal-time monitoring and prediction of remote operator fatigue in plateau deep mining based on dynamic Bayesian networks.
Sci Rep
January 2025
Yunnan Diqing Non-Ferrous Metals Co., Ltd, Yunnan, 674400, China.
Fatigue can cause human error, which is the main cause of accidents. In this study, the dynamic fatigue recognition of unmanned electric locomotive operators under high-altitude, cold and low oxygen conditions was studied by combining physiological signals and multi-index information. The characteristic data from the physiological signals (ECG, EMG and EM) of 15 driverless electric locomotive operators were tracked and tested continuously in the field for 2 h, and a dynamic fatigue state evaluation model based on a first-order hidden Markov (HMM) dynamic Bayesian network was established.
View Article and Find Full Text PDFUtility of Consumer-Grade Wearable Devices for Inferring Physical and Mental Health Outcomes in Severe Mental Illness: Systematic Review.
JMIR Ment Health
January 2025
School for Health Sciences, University of Manchester, Manchester, United Kingdom.
Background: Digital wearable devices, worn on or close to the body, have potential for passively detecting mental and physical health symptoms among people with severe mental illness (SMI); however, the roles of consumer-grade devices are not well understood.
Objective: This study aims to examine the utility of data from consumer-grade, digital, wearable devices (including smartphones or wrist-worn devices) for remotely monitoring or predicting changes in mental or physical health among adults with schizophrenia or bipolar disorder. Studies were included that passively collected physiological data (including sleep duration, heart rate, sleep and wake patterns, or physical activity) for at least 3 days.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!