OBJECTIVE: Acute pulmonary embolism (PE) is a potentially life-threatening condition characterized by the sudden blockage of the pulmonary arteries. Although the MAGGIC risk score has emerged as a valuable tool in predicting outcomes in patients with chronic heart failure, it has also been demonstrated and identified as a prognostic model in various cardiac diseases other than heart failure. In this study, we aimed to investigate the relationship between MAGGIC score and adverse outcomes in patients with PE.
METHODS: A total of 302 consecutive patients diagnosed with acute PE were retrospectively included in the present study. For each patient, the MAGGIC score was calculated. The study population was divided into two groups according to the median value of MAGGIC score.
RESULTS: Patients with high MAGGIC score had a significantly higher proportion of elderly and female individuals, lower BMI, higher presence of CAD, DM, AFib, HF, HT, CKD, COPD, and ACEI/ARB and NOAC usage. Logistic regression analyses was carried out using univariate and multivariate analysis to predict the in-hospital and 30-day mortality predictors in the included PE patients. For in-hospital mortality, diastolic blood pressure, heart rate, RV dilatation, and the MAGGIC score (HR: 1.166, 95% CI 1.077-1.263, p < 0.001) and for short-term mortality, sPESI and the MAGGIC score (HR: 1.925, 95% CI 1.243-2.983, p:0.003) were found to be independent predictors for adverse outcomes in patients with acute PE.
CONCLUSIONS: Our study demonstrates that the MAGGIC score can be applied as a valuable prognostic tool for acute pulmonary embolism.

OBJECTIVE: In-hospital dysglycemia is associated with adverse outcomes. Identifying patients at risk of in-hospital dysglycemia early on admission may improve patient outcomes.
METHODS: We analysed 117 inpatients admitted with pneumonia and type 2 diabetes monitored by continuous glucose monitoring. We assessed potential risk factors for in-hospital dysglycemia and adverse clinical outcomes.
RESULTS: Time in range (3.9-10.0 mmol/l) decreased by 2.9 %-points [95 % CI 0.7-5.0] per 5 mmol/mol [2.6 %] increase in admission haemoglobin A1c, 16.2 %-points if admission diabetes therapy included insulin therapy [95 % CI 2.9-29.5], and 2.4 %-points [95 % CI 0.3-4.6] per increase in the Charlson Comorbidity Index (CCI) (integer, as a measure of severity and amount of comorbidities). Thirty-day readmission rate increased with an IRR of 1.24 [95 % CI 1.06-1.45] per increase in CCI. In-hospital mortality risk increased with an OR of 1.41 [95 % CI 1.07-1.87] per increase in Early Warning Score (EWS) (integer, as a measure of acute illness) at admission.
CONCLUSIONS: Dysglycemia among hospitalised patients with pneumonia and type 2 diabetes was associated with high haemoglobin A1c, insulin treatment before admission, and the amount and severity of comorbidities (i.e., CCI). Thirty-day readmission rate increased with high CCI. The risk of in-hospital mortality increased with the degree of acute illness (i.e., high EWS) at admission. Clinical outcomes were independent of chronic glycemic status, i.e. HbA1c, and in-hospital glycemic status.

BACKGROUND: Laparotomy surgery, which involves making an incision in the abdominal cavity to treat serious abdominal disease and save the patient\'s life, causes significant deaths in both developed and developing countries, including Ethiopia. The number studies examining in-hospital mortality rates among individuals that undergone laparotomy surgery and associated risk factors is limited.
OBJECTIVE: To assess the magnitude of in-hospital mortality and its associated factors among patients undergone laparotomy at tertiary hospitals, West Oromia, Ethiopia, 2022.
METHODS: An institutional based retrospective cross-sectional study was conducted from January 1, 2017, to December 31, 2021. Data were collected using systematic random sampling and based on structured and pretested abstraction sheets from 548 medical records and patient register log. Data were checked for completeness and consistency, coded, imported using Epi-data version 4.6, cleaned and analyzed using SPSS version 25 software. Variables with p < 0.2 in the Bi-variable logistic regression analysis were included in the multivariate logistic regression analysis. The fit of the model was checked by the Hosmer‒Lemeshow test. Using the odds ratio adjusted to 95% CI and a p value of 0.05, statistical significance was declared.
RESULTS: A total of 512 patient charts were reviewed, and the response rate was 93.43%. The overall magnitude of in-hospital mortality was 7.42% [95% CI: 5.4-9.8]. American society of Anesthesiology physiological status greater than III [AOR = 7.64 (95% CI: 3.12-18.66)], systolic blood pressure less than 90 mmHg [AOR = 6.11 (95% CI: 1.98-18.80)], preoperative sepsis [AOR = 3.54 (95% CI: 1.53-8.19)], ICU admission [AOR = 4.75 (95% CI: 1.50-14.96)], and total hospital stay greater than 14 days [(AOR = 6.76 (95% CI: 2.50-18.26)] were significantly associated with mortality after laparotomy surgery.
CONCLUSIONS: In this study, overall in- hospital mortality was high. Early identification patient\'s American Society of Anesthesiologists physiological status and provision of early appropriate intervention, and pays special attention to patients admitted with low systolic blood pressure, preoperative sepsis, intensive care unit admission and prolonged hospital stay to improve patient outcomes after laparotomy surgery.

BACKGROUND: Worldwide, up to 20 % of hospitalised patients have diabetes mellitus. In-hospital dysglycaemia increases patient mortality, morbidity, and length of hospital stay. Improved in-hospital diabetes management strategies are needed. The DIATEC trial investigates the effects of an in-hospital diabetes team and operational insulin titration algorithms based on either continuous glucose monitoring (CGM) data or standard point-of-care (POC) glucose testing.
METHODS: This is a two-armed, two-site, prospective randomised open-label blinded endpoint (PROBE) trial. We recruit non-critically ill hospitalised general medical and orthopaedic patients with type 2 diabetes treated with basal, prandial, and correctional insulin (N = 166). In both arms, patients are monitored by POC glucose testing and diabetes management is done by ward nurses guided by in-hospital diabetes teams. In one of the arms, patients are monitored in addition to POC glucose testing by telemetric CGM viewed by the in-hospital diabetes teams only. The in-hospital diabetes teams have operational algorithms to titrate insulin in both arms. Outcomes are in-hospital glycaemic and clinical outcomes.
CONCLUSIONS: The DIATEC trial will show the glycaemic and clinical effects of in-hospital CGM handled by in-hospital diabetes teams with access to operational insulin titration algorithms in non-critically ill patients with type 2 diabetes. The DIATEC trial seeks to identify which hospitalised patients will benefit from CGM and in-hospital diabetes teams compared to POC glucose testing. This is essential information to optimise the use of healthcare resources before broadly implementing in-hospital CGM and diabetes teams.
BACKGROUND: Prospectively registered at ClinicalTrials.gov with identification number NCT05803473 on March 27th 2023.

BACKGROUND: Relative to other hospitalized patients, trauma patients are younger with fewer comorbidities, but the incidence and outcomes of in-hospital cardiopulmonary arrest (IHCA) with cardiopulmonary resuscitation (CPR) in this population is unknown. Therefore, we aimed to investigate factors associated with survival in trauma patients after IHCA to test the hypothesis that compared to other hospitalized patients, trauma patients with IHCA have improved survival.
METHODS: Retrospective review of the Trauma Quality Improvement Program database 2017 to 2019 for patients who had IHCA with CPR. Primary outcome was survival to hospital discharge. Secondary outcomes were in-hospital complications, hospital length of stay, intensive care unit length of stay, and ventilator days. Data were compared with univariate and multivariate analyses at P < 0.05.
RESULTS: In 22,346,677 admitted trauma patients, 14,056 (0.6%) received CPR. Four thousand three hundred seventy-seven (31.1%) survived to discharge versus 26.4% in a national sample of all hospitalized patients (P < 0.001). In trauma patients, median age was 55 y, the majority were male (72.2%). Mortality was higher for females versus males (70.3% versus 68.3%, P = 0.026). Multivariate regression showed that older age 1.01 (95% confidence interval (CI) 1.01-1.02), Hispanic ethnicity 1.21 (95% CI 1.04-1.40), and penetrating trauma 1.51 (95% CI 1.32-1.72) were risk factors for mortality, while White race was a protective factor 0.36 (95% CI 0.14-0.89).
CONCLUSIONS: This is the first study to show that the incidence of IHCA with CPR is approximately six in 1000 trauma admissions and 31% survive to hospital discharge, which is higher than other hospitalized patients. Age, gender, racial, and ethnic disparities also influence survival.

BACKGROUND: A significant proportion of pulmonary embolisms (PEs) occurs in patients during hospitalisation for another reason. However, limited data regarding differences between out-of-hospital PE (OHPE) and in-hospital PE (IHPE) is available. We aimed to compare these groups regarding their clinical characteristics, biochemical markers, and echocardiographic indices.
METHODS: This was a prospective, single-arm, single-centre study. Adult consecutive patients with non-COVID-related PE from September 2019 to March 2022 were included and followed up for 12 months.
RESULTS: The study included 180 (84 women) patients, with 89 (49.4%) suffering from IHPE. IHPE patients were older, they more often had cancer, were diagnosed earlier after the onset of symptoms, they had less frequent pain and higher values of high sensitivity troponin I and brain natriuretic peptide levels compared to OHPE patients. Echocardiographic right ventricular (RV) dysfunction was detected in similar proportions in the 2 groups. IHPE had increased in-hospital mortality (14.6% vs. 3.3%, p = 0.008) and similar post-discharge to 12-month mortality with OHPE patients.
CONCLUSIONS: In this prospective cohort study, IHPE differed from OHPE patients regarding age, comorbidities, symptoms, and levels of biomarkers associated with RV dysfunction. IHPE patients had higher in-hospital mortality compared to OHPE patients and a similar risk of death after discharge.

OBJECTIVE: The Hypoglycemia During Hospitalization (HyDHo) score predicts hypoglycemia in a population of Canadian inpatients by assigning various weightings to 5 key clinical criteria known at the time of admission, in particular age, recent presentation to an emergency department, insulin use, use of oral hypoglycemic agents, and chronic kidney disease. Our aim in this study was to externally validate the HyDHo score by applying this risk calculator to an Australian population of inpatients with diabetes.
METHODS: This study was a retrospective data analysis of a subset of the Diabetes IN-hospital: Glucose & Outcomes (DINGO) cohort. The HyDHo score was applied based on clinical information known at the time of admission to stratify risk of inpatient hypoglycemia.
RESULTS: The HyDHo score was applied to 1,015 patients, generating a receiver-operating characteristic c-statistic of 0.607. A threshold of ≥9, as per the original study, generated a sensitivity of 83% and a specificity of 20%. A threshold of ≥10, to better suit this Australian population, generated a sensitivity of 90% and a specificity of 34%. The HyDHo score has been externally valid in a geographically different population; in fact, it outperformed the original study after accounting for local hypoglycemia rates.
CONCLUSIONS: Our findings support the external validity of the HyDHo score in a geographically different population. Application of this simple and accessible tool can serve as an adjunct to predict an inpatient\'s risk of hypoglycemia and guide more appropriate glucose monitoring and diabetes management.

UNASSIGNED: To evaluate the cost-effectiveness of EtCO2 monitoring during in-hospital cardiorespiratory arrest (CA) care outside the intensive care unit (ICU) and emergency room department.
UNASSIGNED: We performed a cost-effectiveness analysis based on a simple decision model cost analysis and reported the study using the CHEERS checklist. Model inputs were derived from a retrospective Brazilian cohort study, complemented by information obtained through a literature review. Cost inputs were gathered from both literature sources and contacts with hospital suppliers.
UNASSIGNED: The analysis was carried out from the perspective of a tertiary referral hospital in a middle-income country.
UNASSIGNED: The study population comprised individuals experiencing in-hospital CA who received cardiopulmonary resuscitation (CPR) by rapid response team (RRT) in a hospital ward, not in the ICU or emergency room department.
UNASSIGNED: Two strategies were assumed for comparison: one with an RRT delivering care without capnography during CPR and the other guiding CPR according to the EtCO2 waveform.
UNASSIGNED: Incremental cost-effectiveness rate (ICER) to return of spontaneous circulation (ROSC), hospital discharge, and hospital discharge with good neurological outcomes.
UNASSIGNED: The ICER for EtCO2 monitoring during CPR, resulting in an absolute increase of one more case with ROSC, hospital discharge, and hospital discharge with good neurological outcome, was calculated at Int$ 515.78 (361.57-1201.12), Int$ 165.74 (119.29-248.4), and Int$ 240.55, respectively.
UNASSIGNED: In managing in-hospital CA in the hospital ward, incorporating EtCO2 monitoring is likely a cost-effective measure within the context of a middle-income country hospital with an RRT.

The electrocardiogram (ECG) is a non-invasive diagnostic tool holding significant clinical importance in the diagnosis and risk stratification of cardiac disease. However, access to large-scale, population-based digital ECG data for research purposes remains limited and challenging. Consequently, we established the Danish Nationwide ECG Cohort to provide data from standard 12-lead digital ECGs in both pre- and in-hospital settings, which can be linked to comprehensive Danish nationwide administrative registers on health and social data with long-term follow-up. The Danish Nationwide ECG Cohort is an open real-world cohort including all patients with at least one digital pre- or in-hospital ECG in Denmark from January 01, 2000, to December 31, 2021. The cohort includes data on standardized and uniform ECG diagnostic statements and ECG measurements including global parameters as well as lead-specific measures of waveform amplitudes, durations, and intervals. Currently, the cohort comprises 2,485,987 unique patients with a median age at the first ECG of 57 years (25th-75th percentiles, 40-71 years; males, 48%), resulting in a total of 11,952,430 ECGs. In conclusion, the Danish Nationwide ECG Cohort represents a novel and extensive population-based digital ECG dataset for cardiovascular research, encompassing both pre- and in-hospital settings. The cohort contains ECG diagnostic statements and ECG measurements that can be linked to various nationwide health and social registers without loss to follow-up.

UNASSIGNED: COVID-19 pandemic has thrown the healthcare systems into confusion worldwide, resulting in major modifications on the practice due to fear of exposure to this virus and its fatal consequences.
UNASSIGNED: the study aimed to establish the prevalence of COVID-19 in cardiac arrest patients.
UNASSIGNED: single-centered, Retrospective, observational cohort study that included all patients who presented to ED during the period of the pandemic from January 2021 to May 2022 and documented to have either IN-hospital cardiac arrest (IHCA), specifically within the ED, or OUT-hospital cardiac arrest (OHCA).
UNASSIGNED: This study analyzed 177 patients. Out of which, 30.5% of the patients were aged more than 70 years old. Those with associated comorbidities, the most frequently mentioned comorbidity was hypertension (40.7%). It was found that the prevalence of positive COVID-19 infection was significantly more common among non-Arab (p=0.019), patients with associated chronic kidney disease (p=0.019) and those who had an in-hospital cardiac arrest (p=0.010). No significant associations were observed between COVID-19 infection in terms of age, gender, nationality, associated comorbidities, symptoms, and trauma (all p>0.05).
UNASSIGNED: This study showed the prevalence of COVID-19 among cardiac arrest patients within ED and outside the hospital in our study population. Based on the study\'s results, the major adjustments in practice were not absolutely needed. Also, this study could help in establishing a good mitigation strategy for at-risk patients.