UNASSIGNED: This study aimed to evaluate the association between six complete blood count (CBC)-derived inflammatory markers [neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammatory index (SII), systemic inflammatory response index (SIRI), and pan-immune inflammation value (PIV)] and the risk of frailty and mortality.
UNASSIGNED: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) 1999-2018. Mortality was identified using the National Death Index until December 31, 2019. Multiple logistic regression analysis was conducted to evaluate the association between six CBC-derived inflammatory markers and frailty. The Cox regression model assessed the association between six CBC-derived inflammatory markers and mortality in frail populations. Restricted cubic spline (RCS) was used to visualize the association of the six CBC-derived inflammatory markers with mortality risk. The predictive value of CBC-derived inflammatory markers for mortality was further assessed using a random survival forest (RSF) approach.
UNASSIGNED: This study analyzed data from a total of 16,705 middle-aged and older participants. Among them, 6,503 participants were frail, with a mortality rate of 41.47%. Multiple logistic regression analysis showed that NLR, MLR, PLR, SII, SIRI, and PIV were positively associated with frailty risk. The Cox regression model revealed that participants in the highest quartile had a significantly increased risk of death compared to those in the lowest quartile: NLR (HR = 1.73, 95% CI:1.54, 1.94), MLR (HR = 1.71, 95% CI:1.51, 1.93), PLR (HR = 1.28, 95%CI: 1.15, 1.43), SII (HR = 1.50, 95%CI:1.34, 1.68), SIRI (HR = 1.88, CI 95%:1.67, 2.12), PIV (HR = 1.55, 95%CI:1.38, 1.73). Random survival forest (RSF) analyses demonstrated that MLR had the highest predictive value for mortality risk middle-aged and older adult frail participants.
UNASSIGNED: The results suggest that CBC-derived inflammatory markers are associated with a higher risk of frailty as well as mortality in the middle and old-aged population of the United States.

UNASSIGNED: This descriptive retrospective study analyzed coronial recommendations for natural deaths in sport and recreation from January 2006 to December 2019 using data from the Bureau du coroner du Québec.
UNASSIGNED: Reports with recommendations were analyzed by sex, age group, cause of death, context, and activity. The nature of recommendations was assessed using a public health-based model. Thematic analysis was conducted following a four-phase approach in which themes developed were emphasized and further connected with existing literature.
UNASSIGNED: Reports involving individuals aged 18-24 and reports related to ice hockey were significantly more likely to contain recommendations. Reports related to individuals ≥45 years old, or related to cycling or hunting had higher death frequencies, but relatively low recommendation rates. Most recommendations aligned with the public health-based model but specifying implementation time frames was rare (11.7%). Nearly 60% of coroner\'s recommendations focused on automated external defibrillator implementation, delivery and training.
UNASSIGNED: Mitigation of sudden cardiac arrest risk for individuals ≥45 years old, timely treatment of life-threatening arrhythmias especially for activity practiced in remote regions and specifying implementation time frames were identified as improvement areas. The multi-faceted approach to enhancing public access defibrillation developed by the International Liaison Committee on Resuscitation in 2022 addresses recurrent themes covered by coroners and holds the potential to inform evidence-based decision making.

UNASSIGNED: COVID-19-induced pneumonia has become a persistent health concern, with severe cases posing a significant threat to patient lives. However, the potential of artificial intelligence (AI) in assisting physicians in predicting the prognosis of severe COVID-19 patients remains unclear.
UNASSIGNED: To obtain relevant studies, two researchers conducted a comprehensive search of the PubMed, Web of Science, and Embase databases, including all studies published up to October 31, 2023, that utilized AI to predict mortality rates in severe COVID-19 patients. The PROBAST 2019 tool was employed to assess the potential bias in the included studies, and Stata 16 was used for meta-analysis, publication bias assessment, and sensitivity analysis.
UNASSIGNED: A total of 19 studies, comprising 26 models, were included in the analysis. Among them, the models that incorporated both clinical and radiological data demonstrated the highest performance. These models achieved an overall sensitivity of 0.81 (0.64-0.91), specificity of 0.77 (0.71-0.82), and an overall area under the curve (AUC) of 0.88 (0.85-0.90). Subgroup analysis revealed notable findings. Studies conducted in developed countries exhibited significantly higher predictive specificity for both radiological and combined models (p < 0.05). Additionally, investigations involving non-intensive care unit patients demonstrated significantly greater predictive specificity (p < 0.001).
UNASSIGNED: The current evidence suggests that artificial intelligence prediction models show promising performance in predicting the prognosis of severe COVID-19 patients. However, due to variations in the suitability of different models for specific populations, it is not yet certain whether they can be fully applied in clinical practice. There is still room for improvement in their predictive capabilities, and future research and development efforts are needed.
UNASSIGNED: https://www.crd.york.ac.uk/prospero/ with the Unique Identifier CRD42023431537.

Stiripentol (STP, Diacomit©) is an antiseizure medication indicated for Dravet syndrome, a rare developmental and epileptic encephalopathy characterized by drug-resistant seizures, including status epilepticus (SE). SE is a life-threatening event that may lead to increased risk of morbidity and mortality. Here, we evaluated the effect of STP on SE and SE-associated mortality using a CBA mouse model induced by systemic administration of methionine sulfoximine (MSO), an irreversible inhibitor of glutamine synthetase. MSO induces convulsions, prolonged seizure (SE) and death, with an increase of blood ammonia level. A single acute intraperitoneal pretreatment with 200-300-400 mg/kg of STP significantly inhibited the number of seizures, SE occurrence and death in MSO-treated animals in a dose-dependent manner. Regarding blood ammonia level, STP significantly reduced by 41 % the hyperammonemia induced by MSO. In conclusion, our results show protective effects of STP to reduce and or suppress the occurrence of SE as well as its associated mortality in mice.

BACKGROUND: The prognosis of patients with lung cancer admitted to the intensive care unit (ICU) is often perceived as poor. We described the characteristics, management, and outcomes of critically ill patients with lung cancer and determined the predictors of mortality.
METHODS: We retrospectively studied patients with lung cancer who were admitted to the ICU of a tertiary care hospital between 1999 and 2021 for the reasons other than routine postoperative care. We noted their characteristics, ICU management, and outcomes. We performed the multivariable logistic regression analysis to determine the predictors of hospital mortality.
RESULTS: In the 23-year period, 306 patients with lung cancer were admitted to the ICU (median age = 63.0 years, 68.3% males, 45.6% with moderate/severe functional disability, most had advanced lung cancer, and median Acute Physiology and Chronic Health Evaluation II score = 24.0). Life support measures included invasive mechanical ventilation (47.1%), vasopressors (34.0%), and new renal replacement therapy (8.8%). Do-Not-Resuscitate orders were implemented during ICU stay in 30.1%. The hospital mortality was 43.8% with a significantly lower rate in patients admitted after 2015 (28.0%). The predictors of mortality were moderate/severe baseline disability (odds ratio [OR] 2.65, 95% confidence interval [CI] 1.22, 5.78), advanced lung cancer (OR 8.36, 95% CI 1.81, 38.58), lactate level (OR 1.45, 95% CI 1.12, 1.88, invasive mechanical ventilation (OR 10.92, 95% CI 4.98, 23.95), and admission period after 2015 (OR 0.37, 95% CI 0.16, 0.85).
CONCLUSIONS: The mortality rates in patients with lung cancer admitted to the ICU during a 23-year period decreased after 2015. Functional disability, advanced lung cancer stage, vasopressor use, and invasive mechanical ventilation predicted mortality.

UNASSIGNED: Our aim was to confirm whether extreme hyperoxemic events had been associated with excess mortality in our diverse critical care population.
UNASSIGNED: Retrospective analysis of 9 years of data collected in the pediatric and cardiothoracic ICUs in Children\'s Hospital Los Angeles was performed. The analysis was limited to those mechanically ventilated for at least 24 h, with at least 1 arterial blood gas measurement. An extreme hyperoxemic event was defined as a PaO2 of ≥300 torr. Multivariable logistic regression was used to assess the association of extreme hyperoxemia events and mortality, adjusting for confounding variables. Selected a-priori, these were Pediatric Risk of Mortality III predicted mortality, general or cardiothoracic ICU, number of blood gas measurements, as well as an abnormal blood gas measurements (pH < 7.25, pH > 7.45, and PaO2 < 50 torr).
UNASSIGNED: There were 4,003 admissions included with a predicted mortality of 7.1% and an actual mortality of 9.7%. Their care was associated with 75,129 blood gas measurements, in which abnormal measurements were common. With adjustments for these covariates, any hyperoxemic event was associated with excess mortality (p < 0.001). Excess mortality increased with multiple hyperoxemic events (p < 0.046). Additionally, treatment resulting in SpO2 > 98% markedly increased the risk of a hyperoxemic event.
UNASSIGNED: Retrospective analysis of critical care admissions showed that extreme hyperoxemic events were associated with higher mortality. Supplemental oxygen levels resulting in SpO2 > 98% should be avoided.

UNASSIGNED: The COVID-19 pandemic has profoundly impacted global healthcare systems, necessitating substantial shifts in patient care strategies. The pandemic\'s onset led to drastic operational changes in hospitals, including reduced bed capacity and staffing levels, which could have further influenced the mortality outcomes for geriatric patients. The study aimed to assess the impact of the COVID-19 pandemic on 1-year mortality rates of surgically treated geriatric hip fractures.
UNASSIGNED: This retrospective, single-center cohort study included 346 participants aged 65 and above who underwent surgical treatment for hip fractures. We compared mortality rates between the pre-COVID and COVID eras. Data included demographics, treatment, complications, and COVID-19 status. The independent samples t test and Chi-square tests (or Fisher\'s exact test) were used for comparisons for era cohorts. Survival probabilities were assessed using Kaplan-Meier, while multivariate analysis identified mortality predictors.
UNASSIGNED: 175 patients were included in the pre-COVID era, and 171 patients were included in the COVID era. During the COVID era, the 30-day mortality rate was 11.7% (compared to 13.7% in the pre-COVID era, p = 0.573), and the 1-year mortality rate was 43.9% (compared to 49.1% in the pre-COVID era, p = 0.325). The overall 1-year mortality rate was 46.5%. Patients who underwent surgery within 48 hours had a higher 1-year survival rate (60.5%) compared to those with delayed surgery (51.2%), p = 0.031. Additionally, patients not admitted to the ICU had a higher 1-year survival rate (74.7%) than those who were admitted (44.9%), p < 0.001. 70.1% of the total deaths occurred within the first 90 days.
UNASSIGNED: Elderly patients with hip fractures experienced high mortality rates before and during the pandemic. This study demonstrates that the 1-year mortality rates of geriatric hip fractures were not significantly affected by the pandemic. The findings emphasize the importance of pandemic preparedness and prompt surgeries and attentive ICU care in reducing mortality rates.

UNASSIGNED: Limited data are available regarding the current microbiological characteristics of extracorporeal membrane oxygenation (ECMO)-related infections in intensive care units (ICUs) in China. This retrospective study aimed to determine the epidemiology, risk factors and impact on the outcome of ECMO-related infections.
UNASSIGNED: A retrospective observational study from January 2014 to December 2019 was performed, and adult patients receiving ECMO support for more than 48 hours were included in this study. The primary outcome was the incidence rate of ECMO-related infection. Clinical data were recorded, and risk factors associated with an increased risk of ECMO-related infection were analyzed.
UNASSIGNED: A total of 174 adult patients who received ECMO and underwent ECMO for 1,670 days were included in this study. Forty-six patients (26.4%) developed ECMO-related infections, corresponding to 27.5 first episodes/1,000 ECMO days. The most common ECMO-related infection observed was ventilator-associated pneumonia (VAP). Infected patients had longer durations of mechanical ventilation {20.2 [interquartile range (IQR), 12.6, 30.7] vs. 9.0 (IQR, 5.8, 14.7) days, P<0.001}, ECMO support [11.6 (IQR, 8.1, 17.3) vs. 7.6 (IQR, 5.6, 9.7) days, P<0.001] and hospital stays (28.2±20.7 vs. 22.0±15.6 days, P<0.001). The factors independently associated with ECMO-related infection were a dynamic decrease in lymphocyte count [adjusted odds ratio (OR) =3.578, 95% confidence interval (CI): 2.175-4.906, P<0.001] and ECMO duration (adjusted OR =1.207, 95% CI: 1.096-1.330, P<0.001). Compared to patients without infection, infected patients had greater hospital mortality (39.1% vs. 78.3%, P<0.001) and 90-day mortality (40.6% vs. 87.0%, P<0.001). ECMO-related infections were associated with worse outcomes (adjusted Kaplan-Meier curve, log rank test P<0.001).
UNASSIGNED: Patients supported by ECMO had a high risk of developing ECMO-related infection. The most common ECMO-related infection observed was VAP. A dynamic decrease in lymphocyte counts was significantly associated with an increased risk of ECMO-related infection.

Livestock provide meat, milk, draught labour, are used for breeding, and act as a store of value for smallholder farmers. High young stock mortality (YSM) has the potential to cause significant financial loss. The Young Stock Mortality Reduction Consortium collaborated on a project to deliver a package of basic health and husbandry interventions to reduce YSM for cattle and small ruminants in mixed and pastoral production systems in Ethiopia. Prior to the intervention, YSM rates ranged from 9.8% for calves in mixed systems, to 35.6% for small ruminants in pastoral systems. Proportional reductions YSM from the intervention ranged from 60% for calves and for small ruminants in mixed systems, to 72% for calves in pastoral systems. This brief research report assesses the costs and benefits of the intervention ex-poste to determine its efficiency. NPVs for the intervention (per household) were calculated for a range of benefit periods (from 1 to 20 years), based on the cost of training enumerators and farmers and the net annual household benefits realised within each benefit period. We found in both pastoral and mixed systems the net annual household benefit for the intervention was positive. For pastoral households the intervention achieves a positive NPV after 2 years. For mixed households the intervention achieves a positive NPV after 11 years. Overall, we found the benefits of the intervention exceed the costs, by a very large amount in pastoral systems, and that benefits were larger for households that kept larger numbers of breeding females.

OBJECTIVE: This study aims to evaluate the impact of frailty on the outcomes of older patients with pulmonary embolism (PE).
METHODS: Using the National Inpatient Sample database, we identified 288 070 patients aged 65 or older who were admitted with a primary diagnosis of PE from 2017 to 2019. Frailty was assessed using the Hospital Frailty Risk Score (HFRS), and patients were categorized into low-, intermediate-, and high-frailty-risk groups. Multivariate logistic regression was used to calculate adjusted odds ratios for all outcomes.
RESULTS: These patients were categorized into low-risk (57.6%, 161 420), medium-risk (39.9%, 111 805), and high-risk (2.5%, 7075) groups. High-risk patients, predominantly females with multiple comorbidities, exhibited significantly higher mortality rates and adverse outcomes. The HFRS showed a good discriminating ability in predicting mortality (area under the receiver operating characteristic curve = 0.7796). Frailty was associated with increased use of advanced therapeutic interventions and critical care resources such as thrombolysis, catheter-directed therapies, inferior vena cava filter placement, mechanical ventilation, vasopressor use, and intensive care unit admission.
CONCLUSIONS: Frailty markedly affects outcomes in older PE patients. The HFRS offers a valuable prognostic tool in this population, suggesting that integrating frailty assessments into clinical practice could enhance care strategies and improve patient outcomes. Our findings underscore the need for further research to refine frailty-based care paradigms. Geriatr Gerontol Int 2024; ••: ••-••.