Background: As the peak prevalence of multiple sclerosis (MS) shifts due to an aging patient population, understanding the characteristics that define this older cohort to improve overall management is critical. We sought to determine the clinical characteristics of people with MS over age 60.
Methods: Demographics, clinical characteristics, MS disease history, and Multiple Sclerosis Performance Test (MSPT) patient-reported outcomes and neuroperformance tests (NPTs) were collected from 10 academic MS centers in the US and Europe participating in the MS Partners Advancing Technology Health Solutions (MS PATHS) system. We characterized demographic and disease characteristics of included participants using descriptive statistics. We characterized prevalence of comorbidities and compared with estimated prevalences from the National Health and Nutrition Examination Survey (NHANES) respondents aged ≥60 years in 2017-2018.
Results: We identified 2738 individuals over age 60 from MS PATHS, with 58.1% relapsing-remitting (RR) and 41.9% progressive. Our results showed median age (RR=65.7 years, progressive=66.0 years), age of symptom onset (RR and progressive=40.9 years), and disease duration (RR=22.8 years, progressive=23.3 years). Over two-thirds of individuals in our cohort were treated with DMTs. The most common DMT used in RR patients were interferons (17.6%) and glatiramer acetate (16.3%), while glatiramer acetate was the most common (12.0%) in progressive patients. Progressive patients had higher disability (higher median PDDS scores, worse Neuro-Qol T-scores, and worse NPTs) compared to the RR group. Pain was the most common comorbidity, followed by cardiac disease, depression, hypertension, dyslipidemia, and obesity. Compared to older NHANES participants, older people with MS were more likely to have depression (MS PATHS: 51.5% [95% CI: 49.5% to 53.5%] vs. NHANES: 21.7% [95% CI: 1619.3% to 22.2%]) and osteoporosis (MS PATHS: 12.7% [95% CI: 11.3% to 14.1%] vs. NHANES: 8.2% [95% CI: 6.2% to 10.3%]); they were less likely to be obese (MS PATHS: 29.4% [95% CI: 27.7% to 31.2%] vs. NHANES: 45.1% [95% CI: 38.9% to 51.3%]) and have diabetes (MS PATHS: 12.3% [95% CI: 11.1% to 13.6%] vs. NHANES: 22.5% [95% CI: 18.8% to 25.7%]).
Conclusions: Our study characterizes a large multi-center international cohort of people with MS over age 60. This contemporary cohort appears less disabled than prior studies, which may reflect long term impact of DMT availability on the natural history of MS. The burden of comorbidity in this population was generally high. Information on DMT use, comorbidity, and disability outcome measures will be beneficial in future studies evaluating the impact of therapeutic interventions in older individuals.
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http://dx.doi.org/10.1016/j.msard.2020.102637 | DOI Listing |
J Plast Reconstr Aesthet Surg
January 2025
Department of Plastic Surgery, Odense University Hospital, Denmark.
The incidence of keratinocyte carcinoma (KC) is rising globally, significantly burdening healthcare resources. Treatment options include medical treatment, non-invasive procedures, and surgery, each associated with their distinct benefits and risks. With advanced treatment, the procedures become increasingly invasive for the patients and expensive for the society.
View Article and Find Full Text PDFAnnu Rev Biomed Eng
January 2025
1Center for Engineering for Medicine and Surgery, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA;
Gene therapy is a rapidly developing field, finally yielding clinical benefits. Genetic engineering of organs for transplantation may soon be an option, thanks to convergence with another breakthrough technology, ex vivo machine perfusion (EVMP). EVMP allows access to the functioning organ for genetic manipulation prior to transplant.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Background: Despite the increasing popularity of electronic devices, the longitudinal effects of daily prolonged electronic device usage on brain health and the aging process remain unclear.
Objective: The aim of this study was to investigate the impact of the daily use of mobile phones/computers on the brain structure and the risk of neurodegenerative diseases.
Methods: We used data from the UK Biobank, a longitudinal population-based cohort study, to analyze the impact of mobile phone use duration, weekly usage time, and playing computer games on the future brain structure and the future risk of various neurodegenerative diseases, including all-cause dementia (ACD), Alzheimer disease (AD), vascular dementia (VD), all-cause parkinsonism (ACP), and Parkinson disease (PD).
Urol Pract
December 2024
Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Purpose: This retrospective study furthers our understanding of risk factors associated with hemorrhage and intervention in renal angiomyolipomas (R-AMLs), particularly in larger tumors (≥ 4 cm) and in childbearing-age (CBA; younger than 50 years) women. The objective was to refine risk stratification and optimize patient management.
Methods: Review of our institutional database identified patients with radiographic R-AML from 1997 to 2023.
Menopause
January 2025
Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Objective: Although dysregulated inflammation has been postulated as a biological mechanism associated with post-acute sequelae of severe acute respiratory coronavirus 2 (SARS-CoV-2) infection (PASC) and shown to be a correlate and an outcome of PASC, it is unclear whether inflammatory markers can prospectively predict PASC risk. We examined the association of leukocyte count and high-sensitivity C-reactive protein (hsCRP) concentrations, measured ~25 years prior to the coronavirus disease 2019 (COVID-19) pandemic, with PASC, PASC severity, and PASC-associated cognitive outcomes at follow-up among postmenopausal women.
Methods: Using biomarker data from blood specimens collected during pre-pandemic enrollment (1993-1998) and data on 1,237 Women's Health Initiative participants who completed a COVID-19 survey between June 2021 and February 2022, we constructed multivariable regression models that controlled for pertinent characteristics.
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