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Jul 2023 DOI 10.14302/issn.2470-5020.jnrt-23-4576
HECHAM N.Corresponding author
Background The evolution of multiple sclerosis (MS) is highly variable. Predicting this evolution at the beginning of the disease will help in the therapeutic management. The objective of this study was to describe the clinical characteristics and to identify early predictors of long-term disability among MS patients in Algeria. Methods We performed a descriptive and retrospective study of 400 MS patients followed over a 4-years period from July 2012 to July 2016 in the neurology department of Mustapha Bacha hospital in Algiers. The following parameters were systematically assessed for each patient: Age at onset, gender, relapses, initial demyelinating event, interval between first and second attack, residual deficit after first attack, onset of the progressive course, time of assignment of the successive scores of irreversible disability and type of disease modifying therapies. Univariate and multivariate Cox models were used to determine factors influencing time to Expanded Disability Status Scale (EDSS) 4 and 6. Results During the follow-up of this cohort of MS patients, a total of 144 (36%) and 83 (20%) patients reached EDSS scores 4 and 6 respectively. The median times from the onset of MS to assignment of a score 4 and 6 was 10 years and 19 years, respectively. Using the MSSS severity score, and after univariate analysis we identified several risk factors predictive of disease severity. These included male sex (P= 0.002), age of onset ≥ 40 years (P= 0.001), pyramidal (P= 0.0001), cerebellar (P= 0.002), and poly-symptomatic (P=0.0001) onset of the disease, incomplete recovery after the first attack (P= 0.0001), a high number of attacks during the first 2 years (P= 0.04) and the progressive form (P=0.001), and all these factors were correlated with a high MSSS score. However, prognostic factors in the multivariate binomial logistic regression analysis were limited to pyramidal onset, incomplete recovery after the first attack, short interval between the first and second attack, and progressive onset. Conclusion On the whole, the early predictive factors of disability in MS among Algerian patients were age of onset over 40 years, pyramidal onset, incomplete recovery after the first attack, short interval between the first and second attack and progressive form at onset. To increase the generalizability of findings, a national MS registry is strongly recommended, as well as long-term follow-up epidemiological studies.
Feb 2018
C Verster JorisCorresponding author
Division of Pharmacology, Utrecht University, Utrecht, The Netherlands.
Introduction and aims Previous research has focused primarily on the severity of the alcohol hangover. Much less is known about the duration of the alcohol hangover. The objective of this analysis was to examine the average duration of the alcohol hangover. Design and Methods N=811 Dutch students, aged 18-30 years old, completed a survey on alcohol consumption and their latest alcohol hangover. Overall hangover severity was reported for every two hours after waking up (starting 4am until midnight). Hangover duration was calculated from the moment of stopping alcohol consumption until the first time hangover severity scores reached zero. Results During the drinking session that resulted in their latest hangover they consumed a mean (SD) of 5.9 (6.2) alcoholic drinks, followed by 6.5 (2.0) hours of sleep. The start of the alcohol hangover was not assessed, as it can be assumed that BAC approached zero while participants were sleeping. From the moment of stopping alcohol consumption, the average duration of the alcohol hangover was 18.4 (3.8) hours. For the majority of drinkers, hangover duration ranged from 14 to 23 hours. Alternatively, the hangover lasts approximately 12 hours from the time of waking up. Hangover duration correlated significantly with hangover severity and total sleep time, but no significant association was found with the number of alcoholic drinks that were consumed. Discussion and Conclusions The duration of the alcohol hangover ranged from 14 to 23 hours, with an average of 18.4 hours after stopping drinking, or alternatively, about 12 hours after waking up.
Sep 2017 DOI 10.14302/issn.2474-7785.jarh-17-1727
Akazawa ManabuCorresponding author
Public Health and Epidemiology, Meiji Pharmaceutical University
Background: Healthcare services provided to patients should vary depending on disease severity. However, disease severity bias, a type of selection bias, is a commonly encountered problem in administrative database studies. Herein, we selected chronic obstructive pulmonary disease (COPD), which commonly affects elderly Japanese citizens, for the development and validation of a severity classification system based on a health insurance claims database. Methods: Patients who received COPD-related diagnostic codes in 2011 were selected from a commercially based health insurance claims database. COPD patients were randomly divided into two groups to develop and validate severity scores. A principal component analysis was used to estimate factor loadings used to weight calculations of COPD severity scores. Score validity was evaluated using a linear trend test to predict COPD treatment costs and acute exacerbation events. Results: Using records from 880 patients, ten variables were created: acute exacerbation events, emphysema diagnoses, laboratory test and oxygen therapy procedures, prescribed anticholinergic, inhaled corticosteroid (ICS), short acting beta-agonist, and long acting bronchodilator (LABA) agents, asthma diagnosis and patient birth years. Factor loadings from LABA and ICS prescriptions had the strongest impacts on estimated severity scores (0.50 and 0.49, respectively). Among 300 validation group patients, scores were found to associate with increasing trends of median costs and exacerbation risks (p for trend < 0.05). Conclusions: Estimatedseverity scores would help to predict COPD-related medical costs and exacerbation events. For further clinical implementation, this classification system should be re-evaluated using clinical lung functions information indicative COPD severity and treatment choices.
Apr 2017 DOI 10.14302/issn.2474-7785.jarh-17-1483
Dorfman JonCorresponding author
Department of Surgery, University of Massachusetts Memorial Medical Center Worcester, MA
Background: Discharge disposition planning begins at admission and is frequently one of the first questions posed to healthcare providers by patients and families. We hypothesized that pre-injury functional status would predict discharge disposition. Methods: We linked prospective data from the Worcester, MA cohort of the Global Longitudinal Study of Osteoporosis (GLOW) study and the UMassMemorial Level 1 Trauma Center Registry to determine predictors of discharge disposition for female geriatric (over the age of 55) trauma patients using bivariate comparisons and multivariable modeling. Results: 154 women of 5,091 in the Worcester GLOW cohort were evaluated for traumatic injury at UMassMemorial and were discharged alive either to their home (n=30) or to rehabilitation, skilled nursing, or nursing home facilities (n=124). The mean age was 79 years and the majority (99%) was white. There were no statistically significant differences in comorbidities or injury severity score between the groups. All women with femur fractures were discharged to a facility. The most common injury among women discharged home was traumatic brain injury. While univariate analysis revealed differences in pre-injury activity status, only age remained statistically different in a logistic regression model predicting discharge to facility (OR 2.61 per additional 10 years of age, 95% CI 1.62 to 4.19, p<0.0001). Conclusions: The majority of elderly women are not discharged home after injury. Pre-injury activity status was not associated with discharge disposition when accounting for other factors. It appears that physical function, which deteriorates with age, is a proxy for aging in older women at risk for osteoporosis.