BACKGROUND: Ambient fine particulate matter pollution with a diameter less than 2.5 micrometers (PM2.5) is a significant risk factor for chronic noncommunicable diseases (NCDs), leading to a substantial disease burden, decreased quality of life, and deaths globally. This study aimed to investigate the disease and mortality burdens attributed to PM2.5 in Germany in 2019.
METHODS: Data from the Global Burden of Disease (GBD) Study 2019 were used to investigate disability-adjusted life-years (DALYs), years of life lost (YLLs), years lived with disability (YLDs), and deaths attributed to ambient PM2.5 pollution in Germany.
RESULTS: In 2019, ambient PM2.5 pollution in Germany was associated with significant health impacts, contributing to 27,040 deaths (2.82% of total deaths), 568,784 DALYs (2.09% of total DALYs), 135,725 YLDs (1.09% of total YLDs), and 433,058 YLLs (2.92% of total YLLs). The analysis further revealed that cardiometabolic and respiratory conditions, such as ischemic heart disease, stroke, chronic obstructive pulmonary disease, lung cancer, and diabetes mellitus, were the leading causes of mortality and disease burden associated with ambient PM2.5 pollution in Germany from 1990-2019. Comparative assessments between 1990 and 2019 underscored ambient PM2.5 as a consistent prominent risk factor, ranking closely with traditional factors like smoking, arterial hypertension, and alcohol use contributing to deaths, DALYs, YLDs, and YLLs.
CONCLUSIONS: Ambient PM2.5 pollution is one of the major health risk factors contributing significantly to the burden of disease and mortality in Germany, emphasizing the urgent need for targeted interventions to address its substantial contribution to chronic NCDs.
UNASSIGNED: EINLEITUNG: Die Umweltbelastung durch Feinstaub mit einem Durchmesser < 2,5 Mikrometer (PM2,5) ist ein wesentlicher Risikofaktor für chronische nichtübertragbare Krankheiten (NCDs) und führt weltweit zu einer erheblichen Krankheitslast, zu verminderter Lebensqualität und zu Todesfällen. Ziel dieser Studie war es, die Krankheits- und Mortalitätslast durch PM2,5 in Deutschland im Jahr 2019 zu untersuchen.
METHODS: Daten der GBD(Global Burden of Disease)-Studie 2019 wurden verwendet, um DALYs („disability-adjusted life years“), die YLLs („years of life lost“), YLDs („years lived with disability“) und die Todesfälle zu ermitteln, die auf die PM2,5-Belastung in Deutschland zurückzuführen sind.
UNASSIGNED: Im Jahr 2019 war die PM2,5-Belastung in Deutschland mit erheblichen gesundheitlichen Auswirkungen verbunden. Sie trug zu 27.040 Todesfällen (2,82 % der Todesfälle insgesamt), 568.784 DALYs (2,09 % aller DALYs), 135.725 YLDs (1,09 % aller YLDs) und 433.058 YLLs (2,92 % aller YLLs) bei. Darüber hinaus ergab die Analyse, dass kardiometabolische und respiratorische Erkrankungen, wie etwa ischämische Herzerkrankung, Schlaganfall, chronisch-obstruktive Atemwegserkrankung, Lungenkrebs und Diabetes, die Hauptursachen für Mortalität und Krankheitslast im Zusammenhang mit der PM2,5-Belastung in Deutschland von 1990–2019 darstellten. Vergleichende Bewertungen zwischen 1990 und 2019 verdeutlichten, dass die PM2,5-Belastung durchgehend ein prominenter Risikofaktor war, der eng mit traditionellen Faktoren, wie Rauchen, arterieller Hypertonie und Alkoholkonsum, zusammenhing und zur Mortalität sowie zu DALYs, YLDs und YLLs beitrug.
UNASSIGNED: Die PM2,5-Umweltbelastung ist einer der wesentlichen Risikofaktoren, der erheblich zur Krankheits- und Mortalitätslast in Deutschland beiträgt. Dies unterstreicht die dringende Notwendigkeit gezielter Interventionen, um den substanziellen Beitrag dieses Faktors zu chronischen NCDs anzugehen.

BACKGROUND: Health problems associated with shift work and night shift work are gaining increasing public attention.
OBJECTIVE: To investigate the association between night shift work and the hazard of mortality.
METHODS: Prospective cohort study.
METHODS: A total of 283,579 individuals with paid employment or self-employment aged 37-73 years were included from the UK Biobank with a median follow-up period of 14.0 years.
METHODS: Participants were divided into day workers and shift workers, including the frequency of night shifts, to evaluate the association between baseline work schedules and all-cause and cause-specific mortality using the Cox proportional hazards model. Additionally, 75,760 participants with work histories were assessed for the association between average frequency and cumulative years of exposure to night shift work and all-cause and cause-specific mortality.
RESULTS: Compared with that of day workers, the adjusted hazard of all-cause mortality was increased by 12.0% (hazard ratio [HR], 1.12; 95% confidence interval [CI], 1.07-1.18) in shift workers, particularly in those with no or rare night shifts (approximately 16.1%; HR, 1.16; 95% CI, 1.08-1.25) and those with irregular night shifts (approximately 9.2%; HR, 1.09; 95% CI, 1.00-1.19). Moreover, a non-linear relationship was identified between cumulative night shift years and all-cause and cause-specific mortality. Only individuals who worked night shifts for 20-30 years exhibited a substantially increased hazard of all-cause (HR, 1.52; 95% CI, 1.15-2.00) and cardiovascular disease (CVD; HR, 2.08; 95% CI, 1.16-3.71) mortality.
CONCLUSIONS: Shift workers, particularly those with rare or irregular night shifts, exhibited an increased hazard of mortality. Additionally, participants who worked night shifts for 20-30 years exhibited a substantially increased hazard of all-cause and CVD mortality.

UNASSIGNED: The survival trend and factors influencing short- and mid-term mortality in Asian out-of-hospital cardiac arrest (OHCA) survivors should be elucidated. We performed survival analyses on days 3 and 30, hypothesizing decreased survival rates within the initial 3 days post-resuscitation. Additionally, variables linked to mortality at these two timepoints were examined.
UNASSIGNED: We performed a retrospective analysis on adult nontraumatic OHCA survivors admitted to the National Taiwan University Hospital and its branches between 2017 and 2021. We collected the following variables from the NTUH-Integrative Medical Database: basic characteristics, cardiopulmonary resuscitation events, inotrope administration, and post-resuscitation management. The outcomes included 3- and 30-day mortality. Subgroup analyses with the Kaplan-Meier method explored the survival probability of the OHCA survivors and assessed differences in cumulative survival among subgroups. Cox proportional hazards model was used to estimate adjusted hazard ratios with 95% confidence interval.
UNASSIGNED: Of the 967 survivors, 273 (28.2%) and 604 (62.5%) died within 3 and 30 days, respectively. The 30-day survival curve after OHCA showed an uneven decline, with the most significant decrease within the first 3 days of admission. Various risk factors influence mortality at 3- and 30-day intervals. Although increased age, noncardiac etiology, and prolonged low-flow time increased mortality risks, bystander CPR, targeted temperature management, and continuous renal replacement therapy were associated with reduced mortality at 3- and 30-day timeframes.
UNASSIGNED: Survival declined in most OHCA survivors within 3 days post-resuscitation. The risk factors associated with mortality at 3- and 30-day intervals varied in this population.

BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) infection frequently have hypertension as a co-morbidity, which is linked to adverse outcomes. Antihypertensives may affect the outcome of COVID-19 infection.
OBJECTIVE: To assess the effects of antihypertensive agents on the outcomes of COVID-19 infection.
METHODS: A total of 260 patients were included, and their demographic data and clinical profile were documented. The patients were categorized into nonhypertensive, angiotensin-converting enzyme inhibitor/angiotensin receptor blocker (ACEI/ARB), calcium channel blocker (CCB), a combination of ACEI/ARB and CCB, and beta-blocker groups. Biochemical, hematological, and inflammatory markers were measured. The severity of infection, intensive care unit (ICU) intervention, and outcome were recorded.
RESULTS: The mean age of patients was approximately 60-years-old in all groups, except the nonhypertensive group. Men were predominant in all groups. Fever was the most common presenting symptom. Acute respiratory distress syndrome was the most common complication, and was mostly found in the CCB group. Critical cases, ICU intervention, and mortality were also higher in the CCB group. Multivariable logistic regression analysis revealed that age, duration of antihypertensive therapy, erythrocyte sedimentation rate, high-sensitivity C-reactive protein, and interleukin 6 were significantly associated with mortality. The duration of antihypertensive therapy exhibited a sensitivity of 70.8% and specificity of 55.7%, with a cut-off value of 4.5 years and an area under the curve of 0.670 (0.574-0.767; 95% confidence interval) for COVID-19 outcome.
CONCLUSIONS: The type of antihypertensive medication has no impact on the clinical sequence or mortality of patients with COVID-19 infection. However, the duration of antihypertensive therapy is associated with poor outcomes.

UNASSIGNED: This study aimed to examine mortality for people living with dementia/mild cognitive impairment who self-harmed.
UNASSIGNED: We conducted a retrospective cohort study in New South Wales, Australia, using data ranging from 2001 to 2015. From people who accessed hospital services in the study period, we identified 154,811 people living with dementia/mild cognitive impairment, 28,972 who self-harmed and 1511 who had a record of both dementia/mild cognitive impairment and self-harm. We examined rates, causes and predictors of death for people with dementia/mild cognitive impairment and/or self-harm diagnoses using flexible parametric survival analyses. We explored rates of repeat self-harm in people living with dementia who self-harmed.
UNASSIGNED: Circulatory disorders accounted for 32.0% of deaths in people with a living with dementia who self-harmed, followed by neoplasms (14.7%), and mental and behavioural disorders (9.6%). Death was more likely for someone who had self-harmed if they developed dementia/mild cognitive impairment. Predictors of death included male sex, greater physical comorbidity, a history of delirium, more previous emergency department presentations and fewer previous mental health ambulatory service days. Greater engagement with outpatient mental health services predicted a decreased likelihood of repeat self-harm.
UNASSIGNED: We found that mortality increases when people who self-harm develop dementia. We argue post-diagnosis support offers a potential opportunity to reduce mortality rates in people with both dementia and self-harm diagnoses.

BACKGROUND: Despite the growth in the older population, there is a noticeable research gap regarding integrative health systems for older people and their impact on longevity in nonagenarians. This study aimed to evaluate the effect of an integrative health system consisting of medical services, recreational facilities, and housing on longevity in a population of nonagenarians in Northern Mexico.
METHODS: This was a cross-sectional, retrospective, descriptive-analytical study in which we measured and analyzed medical history such as number of hospitalizations, visits to geriatric consultation, hypertension, history of chronic pain, polypharmacy, dementia, rheumatic disease, diabetes mellitus, insomnia, depression, ischemic cardiomyopathy, among others. We also measured social engagement and number of caregivers. A logistic regression was performed to evaluate the predictors of mortality in this population.
RESULTS: We included one hundred and ninety-five nonagenarians with a mean (SD) age of 94 (4.2) years and of which 112 (55.7%) were female. The findings from logistic regression analysis indicated that a higher frequency of hospitalizations was associated with an elevated mortality risk (OR = 1.272, p = 0.049). Conversely, increased visits to geriatric consultation services as primary care were linked to a reduced mortality risk (OR = 0.953, p = 0.002). Additionally, social engagement displayed a protective effect (OR = 0.336, p = 0.05).
CONCLUSIONS: This study highlighted the role of systemic health approaches in extending life through insights into nonagenarian patients\' involvement in primary care, as measured by consultation frequency, and participation in social activities, mitigating mortality risks. Meanwhile, it emphasized the potential consequences of higher hospitalization rates on increased mortality risk.

BACKGROUND: The escalating global prevalence of polypharmacy presents a growing challenge to public health. In light of this issue, the primary objective of our study was to investigate the status of polypharmacy and its association with clinical outcomes in a large sample of hospitalized older patients aged 65 years and over.
METHODS: A two-year prospective cohort study was carried out at six tertiary-level hospitals in China. Polypharmacy was defined as the prescription of 5 or more different medications daily, including over-the-counter and non-prescription medications. Baseline polypharmacy, multimorbidity, and other variables were collected when at admission, and 2-year outcomes were recorded by telephone follow-up. We used multivariate logistic regression analysis to examine the associations between polypharmacy and 2-year outcomes.
RESULTS: The overall response rate was 87.2% and 8713 participants were included in the final analysis. The mean age was 72.40 years (SD = 5.72), and women accounted for 42.2%. The prevalence of polypharmacy among older Chinese inpatients is 23.6%. After adjusting for age, sex, education, marriage status, body mass index, baseline frailty, handgrip strength, cognitive impairment, and the Charlson comorbidity index, polypharmacy is significantly associated with frailty aggravation (OR 1.432, 95% CI 1.258-1.631) and mortality (OR 1.365, 95% CI 1.174-1.592), while inversely associated with readmission (OR 0.870, 95% CI 0.764-0.989). Polypharmacy was associated with a 35.6% increase in the risk of falls (1.356, 95%CI 1.064-1.716). This association weakened after adjustment for multimorbidity to 27.3% (OR 1.273, 95%CI 0.992-1.622).
CONCLUSIONS: Polypharmacy was prevalent among older inpatients and was a risk factor for 2-year frailty aggravation and mortality. These results highlight the importance of optimizing medication use in older adults to minimize the risks associated with polypharmacy. Further research and implementing strategies are warranted to enhance the quality of care and safety for older individuals exposed to polypharmacy.
BACKGROUND: Chinese Clinical Trial Registry, ChiCTR1800017682, registered 09/08/2018.

OBJECTIVE: Community-acquired pneumonia (CAP) is a common respiratory disease that frequently requires hospitalisation, and is a significant cause of death worldwide. This study aimed to evaluate the usefulness of alpha-1-antichymotrypsin (AACT) as a diagnostic and prognostic biomarker of CAP.
METHODS: We conducted a multicentre prospective cohort study in patients hospitalised with CAP. Plasma AACT levels were measured using a quantitative enzyme-linked immunosorbent assay. Receiver-operating characteristic (ROC) curves and Cox proportional hazards regression were used to assess the association between plasma AACT levels and CAP diagnosis and prognosis.
RESULTS: A total of 274 patients with CAP were enrolled in the study. AACT levels were elevated in patients with CAP, especially those with severe CAP and non-survivors. The area under the curve (AUC) of AACT and CRP for diagnosing CAP was 0.755 and 0.843. Cox regression showed that CURB-65 and AACT levels were independent predictors of 30-day mortality. ROC curves showed that plasma AACT levels had the highest accuracy for predicting acute respiratory distress syndrome (ARDS), with an AUC of 0.862. Combining AACT with Pneumonia Severity Index and CURB-65 significantly improved their predictive accuracy for predicting 30-day mortality.
CONCLUSIONS: Plasma AACT levels are elevated in patients with CAP, but plasma AACT level is inferior to the C-reactive protein level for diagnosing CAP. The AACT level can reliably predict the occurrence of ARDS and 30-day mortality in patients with CAP.

BACKGROUND: The association between ambient temperature and mortality has yielded inconclusive results with previous studies relying on in-patient data to assess the health effects of temperature. Therefore, we aimed to estimate the effect of ambient temperature on non-accidental mortality among elderly hypertensive patients through a prospective cohort study conducted in northeastern China.
METHODS: A total of 9634 elderly hypertensive patients from the Kailuan research who participated in the baseline survey and follow-up from January 1, 2006 to December 31, 2017, were included in the study. We employed a Poisson generalized linear regression model to estimate the effects of monthly ambient temperature and temperature variations on non-accidental mortality.
RESULTS: After adjusting for meteorological parameters, the monthly mean temperature (RR = 0.989, 95% CI: 0.984-0.993, p < 0.001), minimum temperature (RR = 0.987, 95% CI: 0.983-0.992, p < 0.001) and maximum temperature (RR = 0.989, 95% CI: 0.985-0.994, p < 0.001) exhibited a negative association with an increased risk of non-accidental mortality. The presence of higher monthly temperature variation was significantly associated with an elevated risk of mortality (RR = 1.097, 95% CI:1.051-1.146, p < 0.001). Further stratified analysis revealed that these associations were more pronounced during colder months as well as among male and older individuals.
CONCLUSIONS: Decreased temperature and greater variations in ambient temperature were observed to be linked with non-accidental mortality among elderly hypertensive patients, particularly notable within aging populations and males. These understanding regarding the effects of ambient temperature on mortality holds clinical significance for appropriate treatment strategies targeting these individuals while also serving as an indicator for heightened risk of death.

This retrospective cohort study conducted in Turkey between December 2020 and June 2022 aimed to assess antibiotic use, bacterial co-infections, and the associated factors on mortality in hospitalized patients with mild-to-severe COVID-19. Among the 445 patients, 80% received antibiotics, with fluoroquinolones being the most common choice, followed by beta-lactams and combinations. Various clinical and laboratory parameters, including symptoms, comorbidities, CCI, oxygen requirements, and CRP levels were observed to be elevated in the antibiotic group. Non-survivors had more ICU admissions and longer hospital stays compared to survivors. We conducted a multivariate Cox regression analysis to evaluate factors related to mortality. However, we did not find an association between antibiotic use and mortality [HR 2.7 (95% CI 0.4-20)]. The study identified significant factors associated with an antibiotic prescription, such as CCI (OR 1.6), CRP (OR 2.3), and ICU admission (OR 8.8), (p < 0.05). The findings suggest re-evaluating the necessity of antibiotics in COVID-19 cases based on clinical assessments, focusing on the presence of bacterial infections rather than empirical treatment. Further research is necessary to more accurately identify patients with bacterial co-infections who would benefit from antibiotic treatment.