Repetitive head injuries in German American football players do not change blood-based biomarker candidates for CTE during a single season.

BACKGROUND: Repetitive traumatic brain injuries in American football players (AFPs) can lead to the neurodegenerative disease chronic traumatic encephalopathy (CTE). Clinical symptoms of CTE range from mood and behavioral changes to cognitive impairment, depression, and suicidality. So far, CTE cannot be diagnosed in vivo and thus specific diagnostic parameters for CTE need to be found, to observe and treat exposed athletes as early as possible. Promising blood-based biomarkers for CTE include total tau (tTau), hyperphosphorylated tau (pTau), neurofilament light protein (NF-L), glial fibrillary acidic protein (GFAP), amyloid-ß40 (Aß40), amyloid-ß42 (Aß42) and calcium-binding protein B (S100-B). Previous studies have found elevated levels of these biomarkers in subjects exposed to TBIs, whereas cerebrospinal fluid (CSF) levels of Aß40 and Aß42 were decreased in CTE subjects. Here, we investigated whether young AFPs already exhibit changes of these biomarker candidates during the course of a single active season. METHODS: Blood samples were drawn from n = 18 American Football Players before and after a full season and n = 18 male age-matched control subjects. The plasma titers of tTau, pTau, NF-L, GFAP, Aß40, Aß42 and S100-B were determined. Additionally, Apathy, Depression, and Health status as well as the concussion history and medical care were assessed and analyzed for correlations. RESULTS: Here we show, that the selected biomarker candidates for CTE do not change significantly during the seven-month period of a single active season of American Football in blood samples of AFPs compared to healthy controls. But interestingly, they exhibit generally elevated pTau titers. Furthermore, we found correlations of depression, quality-of-life, career length, training participation and training continuation with headache after concussion with various titers. CONCLUSION: Our data indicates, that changes of CTE marker candidates either occur slowly over several active seasons of American Football or are exclusively found in CSF. Nevertheless, our results underline the importance of a long-term assessment of these biomarker candidates, which might be possible through repeated blood biomarker monitoring in exposed athletes in the future.

Impact of nursing home characteristics on COVID-19 infections among residents and staff.

BACKGROUND: Excess mortality occurred in nursing homes during the SARS-CoV pandemic. This study aimed to identify risk factors for COVID-19 infection and mortality in nursing home residents and staff in Hesse, Germany. METHODS: A retrospective cohort study of 687 nursing homes was performed. We used t tests and logistic regressions to quantify the role of nursing homes' size, location, staff qualification, and room occupancy as potential risk factors. RESULTS: The bivariate statistics show that a higher proportion of infected staff and for-profit operations were associated with an increase in infections among residents and staff, while more single rooms and registered nurses showed protective effects. Our model calculations also show that the presence of a higher ratio of registered nurses was a significant protective factor against resident infection (odds ratios [OR]: 0.969, P = .002), resident mortality (OR: 0.973, P = .006), and safeguarded staff (OR: 0.979, P = .034). In contrast, more single rooms (OR: 0.993, P = .029) were protective for residents, while increased risk factors included more beds (OR: 1.006, P = .006 for residents' infections, OR: 1.008, P < .001 for mortality) and infected staff (OR: 2.363, P < .001 for residents' infections). For staff, medium population density (OR: 2.322, P = .016) and infected residents (OR: 1.308, P < .001) were associated with elevated risk. CONCLUSIONS: Preventing infection outbreaks among residents and staff is crucial to reduce mortality. Strategies include increasing single-occupancy rooms, improving staff qualifications, and targeting facilities with lower registered nurse ratios and single-occupancy rooms for inspection.

Potential determinants of the quantity and duration of COVID-19 outbreaks in geriatric long-term care facilities.

BACKGROUND: We analyzed potential factors for the number and duration of COVID-19 outbreaks in nursing homes based on routine and structural data. METHODS: All outbreaks during 03/2020-01/2022 in N = 687 of a total of 879 geriatric long-term care facilities (LTCFs) in the Federal State of Hesse, Germany were analyzed using t-tests and logistic regressions in a retrospective cohort study. RESULTS: Larger LTCFs have more (+ 1.57, p = .009) and longer outbreaks (+ 10.04 days, p > .001). A higher proportion of registered nurses reduces the number (-0.1, p = .036) and duration (-6.02 days, p > .001) of outbreaks. Single-bed rooms provide less duration of outbreaks (-4.5, p = .004). A higher proportion of infected residents (+ 24.26 days, p < .001) and staff (+ 22.98 days, p < .001) prolong outbreaks the most. LTCFs in areas with intermediate population density have an increased risk of prolonged outbreaks (OR: 1.537, p = .036). CONCLUSIONS: To prevent outbreaks and shorten their duration, LTCFs should increase the proportion of registered nurses and single-bed rooms, and control staff infections.

COVID-19 risks in private equity nursing homes in Hesse, Germany - a retrospective cohort study.

BACKGROUND: Private-equity-owned nursing homes (PENH) represent the strongest form of profit orientation in the nursing care market. Private equity firms aim to increase the profitability of nursing care facilities, which often leads to cost-cutting measures and the use of less qualified staff. Our study aims to fill the existing knowledge gap by examining the association between private equity ownership and COVID-19 related infections and deaths among residents and staff during the COVID-19 pandemic. METHODS: We analyzed outbreak and mortality data for the period from 20/03/2020 to 05/01/2022 from 32 long-term care facilities in the Federal State of Hesse, Germany, which included 16 PENH that were propensity score matched on regional population density and number of beds with 16 non-PENH. We used logistic regression to determine the odds ratios (OR) for above-median values for the independent variables of PENH-status, number of beds, proportion of single rooms, registered nurses' ratio, and copayments. RESULTS: PENH had substantially fewer outbreaks in number, but longer and larger outbreaks among nursing home residents, as well as a markedly increased proportion of deceased residents. The odds of the outcome "infections & deaths" were 5.38 (p <. 05) times higher among PENH compared to non-PENH. CONCLUSIONS: The study indicates a need for further research into the quality of care in PENH to inform evidence-based policy decisions, given the higher infection and death rates. Improved documentation and public visibility of PENH is also recommended, in line with existing practices for for-profit and non-profit nursing homes in Germany. Given our findings, regulatory bodies should closely observe PENH operational practices.