The present study includes the longest period of analysis with the highest number of hip fracture episodes (756,308) described in the literature for Spain. We found that the age-adjusted rates progressively decreased from 2005 to 2018. We believe that this is significant because it may mean that measures such as prevention and treatment of osteoporosis, or programs promoting healthy lifestyles, have had a positive impact on hip fracture rates.
OBJECTIVE: To describe the evolution of cases and rates of hip fracture (HF) in patients 65 years or older in Spain from 2001 to 2018 and examine trends in adjusted rates.
METHODS: Retrospective, observational study including patients ≥65 years with acute HF. Data from 2001 to 2018 were obtained from the Spanish National Record of the Minimum Basic Data Set of the Ministry of Health. We analysed cases of HF, crude incidence and age-adjusted rates by sex, length of hospital stay (LOS) and in-hospital mortality, and used joinpoint regression analysis to explore temporal trends.
RESULTS: We identified 756,308 HF cases. Mean age increased 2.5 years, LOS decreased 4.5 days and in-hospital mortality was 5.5-6.5%. Cases of HF increased by 49%. Crude rate per 100,000 was 533.3 (95% confidence interval [CI], 532.1-534.5), increasing 14.0% (95%CI, 13.7-14.2). Age-adjusted HF incidence rate increased by 6.9% from 2001 (535.7; 95%CI, 529.9-541.5) to 2005 (572.4; 95%CI, 566.7-578.2), then decreased by 13.3% until 2017 (496.1, 95%CI, 491.7-500.6). Joinpoint regression analysis indicated a progressive increase in age-adjusted incidence rates of 1.9% per year from 2001 to 2005 and a progressive decrease of -1.1% per year from 2005 to 2018. A similar pattern was identified in both sexes.
CONCLUSIONS: Crude incidence rates of HF in Spain in persons ≥65 years from 2001 to 2018 have gradually increased. Age-adjusted rates show a significant increase from 2001 to 2005 and a progressive decrease from 2005 to 2018.

Healthcare quality in low- and middle-income countries poses a significant challenge, contributing to heightened mortality rates from treatable conditions. The accreditation of health facilities was part of the former health reform in Mexico, proposed as a mechanism to enhance healthcare quality. This study assesses the performance of hospital accreditation in Mexico, utilizing indicators of effectiveness, efficiency, and safety. Employing a longitudinal approach with controlled interrupted time series analysis (C-ITSA) and fixed effects panel analysis, administrative data from general hospitals in Mexico is scrutinized. Results reveal that hospital accreditation in Mexico fails to enhance healthcare quality and, disconcertingly, indicates deteriorating performance associated with increased hospital mortality. Amidst underfunded health services, the implemented accreditation model proves inadequately designed to uplift care quality. A fundamental redesign of the public hospital accreditation model is imperative, emphasizing incentives for structural enhancement and standardized processes. Addressing the critical challenge of improving care quality is urgent for Mexico\'s healthcare system, necessitating swift action to achieve effective access as a benchmark for universal healthcare coverage.

Sepsis is a severe disease characterized by high mortality rates. Our aim was to develop an early prognostic indicator of adverse outcomes in sepsis, utilizing easily accessible routine blood tests. A retrospective analysis of sepsis patients from the MIMIC-IV database was conducted. We performed univariate and multivariate regression analyses to identify independent risk factors associated with in-hospital mortality within 28 days. Logistic regression was utilized to combine the neutrophil-to-lymphocyte ratio (NLR) and the neutrophil-to-platelet ratio (NPR) into a composite score, denoted as NLR_NPR. We used ROC curves to compare the prognostic performance of the models and Kaplan-Meier survival curves to assess the 28 day survival rate. Subgroup analysis was performed to evaluate the applicability of NLR_NPR in different subpopulations based on specific characteristics. This study included a total of 1263 sepsis patients, of whom 179 died within 28 days of hospitalization, while 1084 survived beyond 28 days. Multivariate regression analysis identified age, respiratory rate, neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-platelet ratio (NPR), hypertension, and sequential organ failure assessment (SOFA) score as independent risk factors for 28 day mortality in septic patients (P < 0.05). Additionally, in the prediction model based on blood cell-related parameters, the combined NLR_NPR score exhibited the highest predictive value for 28 day mortality (AUC = 0.6666), followed by NLR (AUC = 0.6456) and NPR (AUC = 0.6284). Importantly, the performance of the NLR_NPR score was superior to that of the commonly used SOFA score (AUC = 0.5613). Subgroup analysis showed that NLR_NPR remained an independent risk factor for 28 day in-hospital mortality in the subgroups of age, respiratory rate, and SOFA, although not in the hypertension subgroup. The combined use of NLR and NPR from routine blood tests represents a readily available and reliable predictive marker for 28 day mortality in sepsis patients. These results imply that clinicians should prioritize patients with higher NLR_NPR scores for closer monitoring to reduce mortality rates.

OBJECTIVE: We systematically assessed prediction models for the risk of in-hospital and 30-day mortality in post-percutaneous coronary intervention (PCI) patients.
METHODS: Systematic review and narrative synthesis.
METHODS: Searched PubMed, Web of Science, Embase, Cochrane Library, CINAHL, CNKI, Wanfang Database, VIP Database and SinoMed for literature up to 31 August 2023.
METHODS: The included literature consists of studies in Chinese or English involving PCI patients aged ≥18 years. These studies aim to develop risk prediction models and include designs such as cohort studies, case-control studies, cross-sectional studies or randomised controlled trials. Each prediction model must contain at least two predictors. Exclusion criteria encompass models that include outcomes other than death post-PCI, literature lacking essential details on study design, model construction and statistical analysis, models based on virtual datasets, and publications such as conference abstracts, grey literature, informal publications, duplicate publications, dissertations, reviews or case reports. We also exclude studies focusing on the localisation applicability of the model or comparative effectiveness.
METHODS: Two independent teams of researchers developed standardised data extraction forms based on CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies to extract and cross-verify data. They used Prediction model Risk Of Bias Assessment Tool (PROBAST) to assess the risk of bias and applicability of the model development or validation studies included in this review.
RESULTS: This review included 28 studies with 38 prediction models, showing area under the curve values ranging from 0.81 to 0.987. One study had an unclear risk of bias, while 27 studies had a high risk of bias, primarily in the area of statistical analysis. The models constructed in 25 studies lacked clinical applicability, with 21 of these studies including intraoperative or postoperative predictors.
CONCLUSIONS: The development of in-hospital and 30-day mortality prediction models for post-PCI patients is in its early stages. Emphasising clinical applicability and predictive stability is vital. Future research should follow PROBAST\'s low risk-of-bias guidelines, prioritising external validation for existing models to ensure reliable and widely applicable clinical predictions.
UNASSIGNED: CRD42023477272.

In the West, National Early Warning Score 2 (NEWS2) is commonly applied to predict the severity of illness using only bedside variables unlike the extensive Pneumonia Severity Index (PSI). The objective of this study was to compare these scores as mortality predictors in patients admitted with community acquired pneumonia (CAP). This cross-sectional study was conducted in Jinnah Postgraduate Medical Centre, Karachi, Pakistan, for six months in 2020 on 116 patients presenting with CAP. Cases of aspiration pneumonia, hospital acquired pneumonia, pulmonary tuberculosis, pulmonary embolism, and pulmonary oedema were excluded. In-hospital mortality was taken as the outcome of this study. The mean age of the participants was 46.9±20.5 years. The in-hospital mortalities were 45(38.8%). NEWS2 was 97.8% sensitive but only 15.5% specific in predicting the outcome, whereas PSI was less sensitive (68.9%) but more specific (50.7%), which showed that in comparison with PSI, NEWS2 is a more sensitive mortality predicting score among hospitalised CAP patients.

UNASSIGNED: The COVID-19 pandemic posed a worldwide challenge, leading to radical changes in surgical services. The primary objective of the study was to assess the impact of COVID-19 on elective and emergency surgeries in a Brazilian metropolitan area. The secondary objective was to compare the postoperative hospital mortality before and during the pandemic.
UNASSIGNED: Time-series cohort study including data of all patients admitted for elective or emergency surgery at the hospitals in the Public Health System of Federal District, Brazil, between March 2018 and February 2022, using data extracted from the Hospital Information System of Brazilian Ministry of Health (SIH/DATASUS) on September 30, 2022. A causal impact analysis was used to evaluate the impact of COVID-19 on elective and emergency surgeries and hospital mortality.
UNASSIGNED: There were 174,473 surgeries during the study period. There was a reduction in overall (absolute effect per week: -227.5; 95% CI: -307.0 to -149.0), elective (absolute effect per week: -170.9; 95% CI: -232.8 to -112.0), and emergency (absolute effect per week: -57.7; 95% CI: -87.5 to -27.7) surgeries during the COVID-19 period. Comparing the surgeries performed before and after the COVID-19 onset, there was an increase in emergency surgeries (53.0% vs 68.8%, P < 0.001) and no significant hospital length of stay (P = 0.112). The effect of the COVID-19 pandemic on postoperative hospital mortality was not statistically significant (absolute effect per week: 2.1, 95% CI: -0.01 to 4.2).
UNASSIGNED: Our study showed a reduction in elective and emergency surgeries during the COVID-19 pandemic, possibly due to disruptions in surgical services. These findings highlight that it is crucial to implement effective strategies to prevent the accumulation of surgical waiting lists in times of crisis and improve outcomes for surgical patients.

OBJECTIVE: The use of scoring systems contributes to the faster identification of septic patients, especially those at a high risk of a fatal outcome. The best scoring system does not exist, so the search for the optimal one is always current. The aim of this study is to estimate the prognostic value of the six scoring systems in predicting 24-hour mortality among septic patients presented at the emergency department.
METHODS: An observational retrospective study was conducted in the Emergency Triage Room (ETR) of the Emergency Center (EC) at the University Clinical Center of Serbia (UCCS) in Belgrade. Consecutive septic patients, according to the Sepsis-3 definition, with or without shock, presented to the ETR and then hospitalized in Intensive Care Units were included in the study. Mortality data within 24 h and on the 28th day were extracted from the Hospital information system or the National mortality database. Scoring systems including sequential organ failure assessment (SOFA), quick sequential organ failure assessment (qSOFA), systemic inflammatory response syndrome (SIRS), National early warning score (NEWS), sepsis patient evaluation in the emergency department (SPEED), and mortality in emergency department sepsis (MEDS) were analyzed for all patients utilizing the available data. The primary outcome of this study was death within 24 hours of triage. Receiver operating characteristic (ROC) analysis was used to determine the most effective scoring system. Lactate was then added to this system to enhance its predictive accuracy.
RESULTS: Nineteen out of 120 patients included in the study (15.8%) experienced death within 24 hours of triage. The twenty-eight-day mortality rate was 55%. SOFA score demonstrated the highest predictive value for 24-hour mortality but was only moderately predictive overall, with an area under the receiver operating curve (AUC) of 0.755 (95% CI 0.625-0.885). SPEED, MEDS, and NEVS exhibited modest discriminatory power [0.673 (95% CI 0.543-0.803), 0.665 (95% CI 0.536-0.794), 0.630 (95% CI 0.528-0.724)], while SIRS and qSOFA remained insignificant in predicting 24-hour mortality. The predictive value of the SOFA score was increased by the addition of lactate (AUC 0.865, 95% CI 0.736-0.995; p=0.0081). All scores demonstrated better and satisfactory predictive power for 28-day mortality.
CONCLUSIONS: SOFA, with the addition of lactate, is a complex but reliable tool for the early stratification of septic patients who are presenting at an emergency department.

BACKGROUND: Use of noninvasive ventilation in patients with acute respiratory distress syndrome (ARDS) is debated. The COVID-19 pandemic posed challenges due to high patient volumes and worldwide resource strain.
OBJECTIVE: To determine associations between use of noninvasive ventilation in adult patients with moderate to severe ARDS due to SARS-CoV-2 pneumonia, progression to intubation, and hospital mortality.
METHODS: This retrospective cohort study included patients in an institutional COVID-19 registry. Adult patients were included if they were admitted for COVID-19 between March 1, 2020, and March 31, 2022, and developed moderate to severe ARDS. Primary outcomes were progression to intubation and hospital mortality in patients who received noninvasive ventilation or mechanical ventilation. A secondary outcome was successful treatment with noninvasive ventilation without intubation.
RESULTS: Of 823 patients who met inclusion criteria, 454 (55.2%) did not receive noninvasive ventilation and 369 (44.8%) received noninvasive ventilation. Patients receiving noninvasive ventilation were more likely to require mechanical ventilation than were patients not receiving noninvasive ventilation. Among patients requiring endotracheal intubation, those receiving noninvasive ventilation had a higher likelihood of mortality. Patients receiving noninvasive ventilation had lower severity-adjusted odds of survival to discharge without intubation than did patients not receiving noninvasive ventilation.
CONCLUSIONS: Patients with moderate to severe ARDS due to SARS-CoV-2 pneumonia treated with noninvasive ventilation had increased likelihood of progression to endotracheal intubation and hospital mortality.

OBJECTIVE: This study aimed to assess the mortality and prognosis of acute myocardial infarction (AMI) patients with out-of-hospital cardiac arrest (OHCA) initially admitted to Department of Anesthesiology and Intensive Care in comparison with patients initially admitted to Cardiac Centre (CC).
BACKGROUND: Global acute coronary syndrome (ACS) registries often omit patients with OHCA initially admitted to anaesthesiology and intensive care units. This exclusion may lead to underestimated mortality rates in patients following acute MI worldwide.
METHODS: A retrospective analysis was conducted in patients admitted in 2014 to the (Department of Anesthesiology and Intensive Care) at a single center, J.A. Reiman Teaching Hospital in Presov, Slovakia. Survival rates were evaluated in-hospital, at 30 days, and annually over a five-year period. Patients with STEMI and NSTEMI were analyzed separately, particularly during the early in-hospital phase.
RESULTS: In the OHCA group, 52% of STEMI patients experienced in-hospital mortality, whereas the CC group reported only 3% mortality. The total hospital mortality for STEMI patients was 6.69%. Among NSTEMI patients in the OHCA group, in-hospital mortality reached 50%, compared to 4.33% in the CC group. The total center mortality for all NSTEMI patients was 6.09%.
CONCLUSIONS: Although the short-term prognosis for MI patients with OHCA is unfavorable, with a 30-day mortality rate of 54.9%, for those who survive the initial 30 days following cardiac arrest and are successfully discharged from the hospital, the long-term prognosis aligns with MI patients without OHCA. In light of these findings, the inclusion of all patients with MI (from both OHCA and CC groups) in global ACS registries could significantly raise in-hospital and 30-day mortality rates (Tab. 3, Fig. 4, Ref. 21).

BACKGROUND: Neutrophil to lymphocyte ratio (NLR) has been considered a prognostic biomarker of mortality and other major cardiac events. This study investigates NLR\'s efficacy in predicting in-hospital and long-term outcomes in patients with ST-segment elevated myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI).
METHODS: Electronic databases (PUBMED, Cochrane CENTRAL, ERIC, Embase, Ovid, and Google Scholar) were searched till June 2022 to identify studies having STEMI patients who underwent PCI. Risk ratios and mean differences (MDs), along with their corresponding 95% confidence intervals (Cis) and standard deviations (SDs), were pooled using a random-effect model. This meta-analysis has been registered on Prospero (ID: CRD42022344072).
RESULTS: A total of 35 studies with 28,756 patients were included. Pooled estimates revealed an increased incidence of primary outcomes; in-hospital all-cause mortality (RR = 3.52; 95% CI = 2.93-4.24), long-term all-cause mortality (HR = 1.07; 95% CI = 1.00-1.14), (RR = 3.32; 95% CI = 2.57-4.30); in-hospital cardiovascular mortality (RR = 2.66; 95% CI = 2.04-3.48), long-term cardiovascular mortality (RR = 6.67; 95% CI = 4.06-10.95); in-hospital major adverse cardiovascular events (MACE) (RR = 1.31; 95% CI = 1.17-1.46), long-term MACE (RR = 2.92; 95% CI = 2.16-3.94); length of hospital stay (WMD = 0.60 days; 95% CI = 0.40-0.79) in patients with high NLR compared to those with a low NLR.
CONCLUSIONS: NLR might be a valuable tool for prognostication (in-hospital) and stratification of patients with STEMI who underwent PCI.