Assessment of Complications and Length of Hospital Stay Associated With Surgical Emergencies in Patients With Concurrent COVID-19 Infection.

The delivery of surgical services was profoundly affected by the COVID-19 pandemic, resulting in the postponement of elective surgeries and a shift in focus to essential emergency procedures. Our study aimed to assess the impact of concurrent COVID-19 infection on complications, hospital stay, and recovery following emergency surgery. A retrospective matched cohort study was conducted between July 2020 and February 2022 at a tertiary care hospital in India. Data from 48 patients with COVID-19 infection in the immediate preoperative period was compared with 48 matched controls not infected with the virus. The data collected included patient demographics, surgical procedures, duration of hospital stay, and postoperative complications. Patients with concurrent COVID-19 infection had notably longer mean hospital stays (13.44 days) than the controls (6.63 days) (P = 0.002). An elevated proportion of COVID-19-positive patients experienced discharge delays (36 out of 48, 75%), compared to just six of the 48 non-COVID-19 patients (12.5%) (P ≤ 0.001). Postoperative findings in the COVID-positive cohort revealed elevated rates of pulmonary complications (5/48, 10.4%), higher rates of postoperative ICU admissions (8/48, 16.7%), and persistently elevated D-dimer levels extending beyond postoperative day seven (18/48, 37.5%). This suggests that emergency surgery in patients with COVID-19 is linked to significantly lengthier hospital stays, increased discharge delays, and a greater prevalence of adverse events in the postoperative period when compared to controls. These findings underscore the need for enhanced perioperative strategies and preparedness for potential future pandemics.

End-of-Life Healthcare Utilization in Lewy Body Dementia.

Background: Lewy body dementia (LBD) is the second most common neurodegenerative dementia in the US, presenting unique end-of-life challenges. Objective: This study examined healthcare utilization and care continuity in the last year of life in LBD. Methods: Medicare claims for enrollees with LBD, continuously enrolled in the year preceding death, were examined from 2011-2018. We assessed hospital stays, emergency department (ED) visits, intensive care unit (ICU) admissions, life-extending procedures, medications, and care continuity. Results: We identified 45,762 LBD decedents, predominantly female (51.8%), White (85.9%), with average age of 84.1 years (SD 7.5). There was a median of 2 ED visits (IQR 1-5) and 1 inpatient stay (IQR 0-2). Higher age was inversely associated with ICU stays (Odds Ratio [OR] 0.96; 95% Confidence Interval [CI] 0.96-0.97) and life-extending procedures (OR 0.96; 95% CI 0.95-0.96). Black and Hispanic patients experienced higher rates of ED visits, inpatient hospitalizations, ICU admissions, life-extending procedures, and in-hospital deaths relative to White patients. On average, 15 (7.5) medications were prescribed in the last year. Enhanced care continuity correlated with reduced hospital (OR 0.72; 95% CI 0.70-0.74) and ED visits (OR 0.71; 95% CI 0.69-0.87) and fewer life-extending procedures (OR 0.71; 95% CI 0.64-0.79). Conclusions: This study underscored the complex healthcare needs of people with LBD during their final year, which was influenced by age and race. Care continuity may reduce hospital and ED visits and life-extending procedures.

Direct impact of COVID-19 vaccination in Chile: averted cases, hospitalizations, ICU admissions, and deaths.

BACKGROUND: Chile rapidly implemented an extensive COVID-19 vaccination campaign, deploying a diversity of vaccines with a strategy that prioritized the elderly and individuals with comorbidities. This study aims to assess the direct impact of vaccination on the number of COVID-19 related cases, hospital admissions, ICU admissions and deaths averted during the first year and a half of the campaign. METHODS: Via Chile's transparency law, we obtained access to weekly event counts categorized by vaccination status and age. Integrating this data with publicly available census and vaccination coverage information, we conducted a comparative analysis of weekly incidence rates between vaccinated and unvaccinated groups from December 20, 2020 to July 2, 2022 to estimate the direct impact of vaccination in terms of the number of cases, hospitalizations, ICU admissions and deaths averted, using an approach that avoids the need to explicitly specify the effectiveness of each vaccine deployed. RESULTS: We estimated that, from December 20, 2020 to July 2, 2022 the vaccination campaign directly prevented 1,030,648 (95% Confidence Interval: 1,016,975-1,044,321) cases, 268,784 (95% CI: 264,524-273,045) hospitalizations, 85,830 (95% CI: 83,466-88,194) ICU admissions and 75,968 (95% CI: 73,909-78,028) deaths related to COVID-19 among individuals aged 16 years and older. This corresponds to a reduction of 26% of cases, 66% of hospital admissions, 70% of ICU admissions and 67% of deaths compared to a scenario without vaccination. Individuals 55 years old or older represented 67% of hospitalizations, 73% of ICU admissions and 89% of deaths related to COVID-19 prevented. CONCLUSIONS: This study highlights the role of Chile's vaccination campaign in reducing COVID-19 disease burden, with the most substantial reductions observed in severe outcomes.

Combination of Creatinine with Inflammatory Biomarkers (PCT, CRP, hsCRP) for Predicting Postoperative ICU Admissions for Elderly Patients.

INTRODUCTION: The number of elderly patients who require surgery as their primary treatment has increased rapidly in recent years. Among 300 million people globally who underwent surgery every year, patients aged 65 years and over accounted for more than 30% of cases. Despite medical advances, older patients remain at higher risk of postoperative complications. Early diagnosis and effective prediction are essential requirements for preventing serious postoperative complications. In this study, we aim to provide new biomarker combinations to predict the incidence of postoperative intensive care unit (ICU) admissions > 24 h in elderly patients. METHODS: This investigation was conducted as a nested case-control study, incorporating 413 participants aged ≥ 65 years who underwent non-cardiac, non-urological elective surgeries. These individuals underwent a 30-day postoperative follow-up. Before surgery, peripheral venous blood was collected for analyzing serum creatinine (Scr), procalcitonin (PCT), C-reactive protein (CRP), and high-sensitivity CRP (hsCRP). The efficacy of these biomarkers in predicting postoperative complications was evaluated using receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) values. RESULTS: Postoperatively, 10 patients (2.42%) required ICU admission. Regarding ICU admissions, the AUCs with 95% confidence intervals (CIs) for the biomarker combinations of Scr × PCT and Scr × CRP were 0.750 (0.655-0.845, P = 0.007) and 0.724 (0.567-0.882, P = 0.015), respectively. Furthermore, cardiovascular events were observed in 14 patients (3.39%). The AUC with a 95% CI for the combination of Scr × CRP in predicting cardiovascular events was 0.688 (0.560-0.817, P = 0.017). CONCLUSION: The innovative combinations of biomarkers (Scr × PCT and Scr × CRP) demonstrated efficacy as predictors for postoperative ICU admissions in elderly patients. Additionally, the Scr × CRP also had a moderate predictive value for postoperative cardiovascular events. TRIAL REGISTRATION: China Clinical Trial Registry, ChiCTR1900026223.

ICU Admissions and Outcomes of Childhood Cancer Patients in Single Tertiary Hospital in the Private Sector in India.

Ramandeep Singh AroraBackground Modern-day treatment of childhood cancer is punctuated by the necessary need for intensive care. This study was performed to understand the intensive care unit (ICU) admission rates and factors associated with ICU admission in a cohort of newly diagnosed childhood cancer patients in India. Materials and Methods All childhood (age <18 years) patients in the hospital-based cancer registry who had registered between March 1, 2013, and May 31, 2018, formed the cohort. ICU admissions were recorded and demographic and clinical factors associated with ICU admission were investigated. ICU admission rates were the primary outcome of interest and secondary outcomes were ICU admission rates for sick/supportive reasons, ICU admission rates for surgical/procedural reasons and mortality during ICU admission. Results In a cohort of 258 children (66% males, 61% from India, and median age 7 years), 149 (58%) patients needed one or more ICU admission (median one with range of one to five) with total 204 ICU admission episodes. While age group, gender, and nationality were not significantly associated with ICU admission, cancer type was (highest in neuroblastoma (82%) and central nervous system (CNS) tumors (71%)). Sick/supportive care ICU admissions were significantly higher in patients of younger age, Indian origin, and certain cancers (leukemias, lymphomas). Surgical/procedural ICU admissions were significantly higher in international patients and certain cancers (CNS tumors, neuroblastomas, and soft tissue sarcomas). There were 17 ICU deaths (11% of patients admitted to ICU) and all but one were from sick/supportive care ICU admissions. Conclusion Our study highlights higher than reported ICU admission rates and lower than reported mortality in children with cancer in low- and middle-income countries. We next plan to develop more specific ICU admission criteria, prospectively evaluating severity metrics in these patients, and explore the development of a high dependency unit.

A Meta-Analysis To Ascertain the Effectiveness of COVID-19 Vaccines on Clinical Outcomes in Patients With COVID-19 Infection in North America.

The challenges in controlling the pandemic have been exacerbated by the disease's morbidity and the emergence of additional COVID-19 variants. The use of emergency vaccines to circumvent these challenges has sparked mixed opinions on their effectiveness. Therefore, we conducted a meta-analysis to assess the efficacy of COVID-19 vaccines on clinical outcomes such as incidence, hospitalization, and ventilation rates in both vaccinated and unvaccinated patients. PubMed, Google Scholar, and Cochrane Central Register of Clinical Trials were searched on April 21, 2022, to extract published articles comparing vaccinated COVID-19 patients versus unvaccinated COVID-19 patients and their clinical outcomes. The clinical outcomes studied were incidence rate, intensive care unit (ICU) admission, mechanical ventilation, and hospitalization rates. The analysis was performed with Review Manager (RevMan) software. Random-effect models were used to calculate pooled odds ratio and corresponding 95% confidence interval (CI). In our meta-analysis, we have identified a total of 250 published findings, encompassing 15 studies that involved a cumulative count of 24,164,227 individuals diagnosed with COVID-19. Being unvaccinated had a significant association with severe clinical outcomes in patients infected with COVID-19. Unvaccinated individuals were 2.36 times more likely to be infected, with a 95% CI ranging from 1.13 to 4.94 (p = 0.02). Unvaccinated subjects with COVID-19 infection were 6.93 times more likely to be admitted to the ICU than their vaccinated counterparts, with a 95% CI ranging from 3.57 to 13.46 (p < 0.0001). The hospitalization rate was 3.37 higher among the unvaccinated compared to those vaccinated, with a 95% CI ranging from 1.92 to 5.93 (p < 0.0001). In addition, patients with COVID-19 infection who are unvaccinated were 6.44 times more likely to be mechanically ventilated than those vaccinated, with a 95% CI ranging from 3.13 to 13.23 (p < 0.0001). Overall, our study revealed that vaccination against COVID-19 disease is beneficial and effective in mitigating the spread of the infection and associated clinical outcomes. However, more awareness and proper education must be made to increase vaccine acceptance. We, therefore, recommend and urge all stakeholders involved in COVID-19 prevention, management, and control to strengthen awareness and educate the people on the effectiveness of COVID-19 vaccination.

Hospital factors that influence ICU admission decision-making: a qualitative study of eight hospitals.

PURPOSE: Some hospitals in the United States (US) use intensive care 20 times more than others. Since intensive care is lifesaving for some but potentially harmful for others, there is a need to understand factors that influence how intensive care unit (ICU) admission decisions are made. METHODS: A qualitative analysis of eight US hospitals was conducted with semi-structured, one-on-one interviews supplemented by site visits and clinical observations. RESULTS: A total of 87 participants (24 nurses, 52 physicians, and 11 other staff) were interviewed, and 40 h were spent observing ICU operations across the eight hospitals. Four hospital-level factors were identified that influenced ICU admission decision-making. First, availability of intermediate care led to reallocation of patients who might otherwise be sent to an ICU. Second, participants stressed the importance of ICU nurse availability as a key modifier of ICU capacity. Patients cared for by experienced general care physicians and nurses were less likely to receive ICU care. Third, smaller or rural hospitals opted for longer emergency department patient-stays over ICU admission to expedite interhospital transfer of critically ill patients. Fourth, lack of clarity in ICU admission policies led clinicians to feel pressured to use ICU care for patients who might otherwise not have received it. CONCLUSION: Health care systems should evaluate their use of ICU care and establish institutional patterns that ensure ICU admission decisions are patient-centered but also account for resources and constraints particular to each hospital.

A 7-year review of medical admission profile for clinical diseases in an intensive care unit of a low-resource setting.

Objective: Various patients needing organ or systemic support and close monitoring are routinely managed in the intensive care unit. This includes patients that emanate from various sources, like the trauma unit, emergency department, inpatient wards, and post-anesthesia care unit. Admissions into the intensive care unit due to medical conditions have not been analyzed in our environment to determine the common indications and the outcome. We aimed to determine the pattern of medical admissions and outcomes in the intensive care unit. Method: A retrospective study of all patients admitted to the intensive care unit of Nnamdi Azikiwe University Teaching Hospital Nnewi, Anambra State, Nigeria, from January 1, 2014 to December 31, 2020, with medical diagnosis was conducted. Data were retrieved from the intensive care unit admission and discharge registers and analyzed using the Statistical Package for Social Sciences (SPSS) Version 20 (IBM Corp., Chicago, Illinois, USA). Results: Eighty-nine medical patients were admitted, which accounted for 7.63% of the total intensive care unit admissions of 1167 patients during the period, with a preponderance of males (57.3%). The most common medical condition for intensive care unit admission (31.5%) was a cerebrovascular accident. The mean length of stay was found to be 5.13 ± 3.42 days. Mortality following medical intensive care unit admission was 56.18%, which contributed to about 11.4% of the total ICU mortality. Conclusion: When compared to all other reasons for admission to a general intensive care unit, medical conditions account for a small percentage. The most frequent illness was a cerebrovascular accident.

Patient Outcomes and Rate of Intensive Care Unit Admissions Following Bariatric Surgery: A Retrospective Cohort Study of 775 Patients.

Background The last two decades have seen a significant rise in obesity and its adverse consequences across the globe. Bariatric surgery has emerged as a widely employed therapeutic approach for weight reduction and alleviating the risk of obesity-related chronic diseases such as diabetes, cardiovascular diseases, and cancer. As bariatric procedures are gaining popularity, the complications associated with these procedures can not be ignored. This retrospective study aimed to investigate the incidence of intensive care unit (ICU) admissions following bariatric surgery and ICU-related mortality. Methodology This retrospective study conducted at King Hamad University Hospital, Bahrain evaluated the patient outcomes and the rate of ICU admissions following bariatric surgery between 2018 and 2022. Demographic data of the patients were extracted from electronic health records. The primary endpoint was ICU admission incidence and mortality, while secondary outcomes included risk factors, duration of ICU stay, and complications leading to ICU admission. Results Of the 775 patients included, 66.3% were female. The mean age of the patients was 35.92 ± 21.12 years. Over 91% of the patients had a body mass index above 30 kg/m2. The most common primary procedure was laparoscopic sleeve gastrectomy (75%), followed by gastric bypass (22.6%). In revision bariatric surgery, the majority (91.3%) had a conversion from sleeve gastrectomy to gastric bypass. Overall, 0.77% of patients were admitted to the ICU, with the majority being unplanned ICU admissions (0.52%). The average ICU stay was 21 days (1 to 54 days). The most common reason for ICU admission was sepsis, septic shock, and gastric leakage. Conclusions The results of this study show a relatively lower number of ICU admissions after bariatric surgery compared to previous studies.

The Predictive Score for Patients Hospitalized With COVID-19 in Resource-Limited Settings.

Background and aims The second wave of coronavirus disease 2019 (COVID-19) has been devastating in India and many developing countries. The mortality reported has been 40% higher than in the first wave, overwhelming the nation's health infrastructure. Despite a better understanding of the disease and established treatment protocols including steroids and heparin, the second wave was disastrous. Subsequent waves have the potential to further cripple healthcare deliveries, also affecting non-COVID-19 care across many developing economies. It is then important to identify and triage high-risk patients to best use the limited resources. Routine tests such as neutrophil and monocyte counts have been identified but have not been successfully validated uniformly, and their utility is still being understood in COVID-19. Various predictive models that are available require online resources and calculators and additionally await validation across all populations. These, although useful, might not be available or accessible across all institutions. It is then important to identify easy-to-use scores that utilize tests done routinely. In identifying with this goal, we did a retrospective review of the institutional database to identify potential predictors of intensive care unit (ICU) admission and mortality in patients hospitalized during the second wave who accessed healthcare at our academic setup. Results Three predictors of mortality and four predictors of ICU admission were identified. Absolute neutrophil count was a common predictor of both ICU admission and mortality but with two separate cut points. An absolute neutrophil count of >4,200 predicted need for ICU admission (odds ratio (OR): 3.1 (95% confidence interval (CI): 2.0, 4.8)), and >7,200 predicted mortality (adjusted OR: 4.2 (95% CI: 1.9, 9.4)). We observed that a blood urea level greater than 45 was predictive of needing ICU care (adjusted OR: 8.0 (95% CI: 3.7, 17.6)). In our dataset, serum ferritin of >500 was predictive of ICU admission (adjusted OR: 2.7 (95% CI: 1.2, 5.9)). We noted a right shift of partial pressure (p50 is the oxygen tension at which hemoglobin is 50% saturated) (p50c) in SARS-CoV-2 as a predictor of ICU care (OR: 2.6 (95% CI: 1.7, 3.9)) when partial pressure is >26.5. In our analysis, a serum protein of less than 7 g/dL (OR: 2.8 (95% CI: 1.7, 4.4)) was a predictive variable for ICU admission. An LDH value of >675 was predictive of severity with a need for ICU admission (OR: 9.2 (95% CI: 5.4, 15.5)) in our series. We then assigned a score to each of the predictive variables based on the adjusted odds ratio. Conclusion We identified a set of easy-to-use predictive variables and scores to recognize the subset of patients hospitalized with COVID-19 with the highest risk of death or clinical worsening requiring ICU care.

Vitamin D: The Missing Nutrient Behind the Two Deadly Pandemics, COVID-19 and Cardiovascular Diseases.

The coronavirus (COVID-19) pandemic is claiming millions of lives and creating an additional burden on health care, which is already affected by the rise of non-communicable diseases (NCDs). The scientific community, on the other side, is enormously engaged with studies to best identify the characteristics of the virus and minimize its effect while supporting the fight to contain NCDs, mainly cardiovascular diseases (CVDs), which are contributing hugely to the global death toll. Hence, the roles of vitamin D in COVID-19 immunity and cardiovascular health are gaining traction recently.  This literature review will mainly focus on summarizing pertinent studies and scientific publications which highlight the association of vitamin D levels with the various outcomes of COVID-19 and CVDs. It will also address how low vitamin D correlates with the epidemiology of CVDs and the inflammatory mechanisms attributed to COVID-19 severity. We believe that our review may open up hindsight perspectives and further discussions among the physicians in tapping the potential of vitamin D supplementation to tackle the morbidity, mortality, and health care cost of the two deadly diseases, COVID-19 and CVDs.

Coronavirus disease 2019 (COVID-19) Versus Influenza in Hospitalized Adult Patients in the United States: Differences in Demographic and Severity Indicators.

BACKGROUND: Novel coronavirus disease 2019 (COVID-19) is frequently compared with influenza. The Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN) conducts studies on the etiology and characteristics of U.S. hospitalized adults with influenza. It began enrolling patients with COVID-19 hospitalizations in March 2020. Patients with influenza were compared with those with COVID-19 in the first months of the U.S. epidemic. METHODS: Adults aged ≥ 18 years admitted to hospitals in 4 sites with acute respiratory illness were tested by real-time reverse transcription polymerase chain reaction for influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus causing COVID-19. Demographic and illness characteristics were collected for influenza illnesses during 3 seasons 2016-2019. Similar data were collected on COVID-19 cases admitted before June 19, 2020. RESULTS: Age groups hospitalized with COVID-19 (n = 914) were similar to those admitted with influenza (n = 1937); 80% of patients with influenza and 75% of patients with COVID-19 were aged ≥50 years. Deaths from COVID-19 that occurred in younger patients were less often related to underlying conditions. White non-Hispanic persons were overrepresented in influenza (64%) compared with COVID-19 hospitalizations (37%). Greater severity and complications occurred with COVID-19 including more ICU admissions (AOR = 15.3 [95% CI: 11.6, 20.3]), ventilator use (AOR = 15.6 [95% CI: 10.7, 22.8]), 7 additional days of hospital stay in those discharged alive, and death during hospitalization (AOR = 19.8 [95% CI: 12.0, 32.7]). CONCLUSIONS: While COVID-19 can cause a respiratory illness like influenza, it is associated with significantly greater severity of illness, longer hospital stays, and higher in-hospital deaths.

Association between periodontitis and severity of COVID-19 infection: A case-control study.

AIM: COVID-19 is associated with an exacerbated inflammatory response that can result in fatal outcomes. Systemic inflammation is also a main characteristic of periodontitis. Therefore, we investigated the association of periodontitis with COVID-19 complications. MATERIALS AND METHODS: A case-control study was performed using the national electronic health records of the State of Qatar between February and July 2020. Cases were defined as patients who suffered COVID-19 complications (death, ICU admissions or assisted ventilation), and controls were COVID-19 patients discharged without major complications. Periodontal conditions were assessed using dental radiographs from the same database. Associations between periodontitis and COVID 19 complications were analysed using logistic regression models adjusted for demographic, medical and behaviour factors. RESULTS: In total, 568 patients were included. After adjusting for potential confounders, periodontitis was associated with COVID-19 complication including death (OR = 8.81, 95% CI 1.00-77.7), ICU admission (OR = 3.54, 95% CI 1.39-9.05) and need for assisted ventilation (OR = 4.57, 95% CI 1.19-17.4). Similarly, blood levels of white blood cells, D-dimer and C Reactive Protein were significantly higher in COVID-19 patients with periodontitis. CONCLUSION: Periodontitis was associated with higher risk of ICU admission, need for assisted ventilation and death of COVID-19 patients, and with increased blood levels of biomarkers linked to worse disease outcomes.

Performance Status and Age as Predictors of Immunotherapy Outcomes in Advanced Non-Small-Cell Lung Cancer.

INTRODUCTION: Immunotherapy has become a key treatment for patients with advanced non-small-cell lung cancer (NSCLC). While a survival advantage has been proven for patients who are medically fit, it is unknown whether a benefit exists for patients with poor performance status (PS). PATIENTS AND METHODS: We performed a retrospective analysis of NSCLC patients who received immunotherapy in our health system. Age and PS at the time of initial immunotherapy administration were assigned based on physician documentation. Radiographic response and date of progression were assigned according to the treating physician's assessment and confirmed by the study team. Immune-related adverse events were extracted from records. RESULTS: We identified 285 NSCLC patients who received immunotherapy between January 2014 and April 2018. In this group, 153 patients (53.7%) had PS 0-1, 114 (40.0%) had PS 2, and 18 (6.3%) had PS 3. Response rates were similar across PS groups with 26.6% for PS 1, 25.2% for PS 2, and 23.1% for PS 3 (P = .95). Survival outcomes varied with pretreatment PS. For PS 0-1, PS 2, and PS 3, median overall survival was 14.7, 8.3, and 1.5 months (P < .001), and progression-free survival was 7.4, 5.1, and 1.3 months (P < .001). Patients aged < 70 had a lower rate (7.6%) of immune-related adverse events requiring steroids compared to patients ≥ 70 (15%) (P = .04). CONCLUSION: Patients with poor baseline PS demonstrate similar response rate but inferior progression-free survival and overall survival compared to medically fit patients. Prospective trials are needed to optimize treatment for this large population.

Elevated lactate level predicts intensive care unit admissions, endoscopies and transfusions in patients with acute gastrointestinal bleeding.

BACKGROUND AND AIMS: Initial clinical management decision in patients with acute gastrointestinal bleeding (GIB) is often based on identifying high- and low-risk patients. Little is known about the role of lactate measurement in the triage of patients with acute GIB. We intended to assess if lactate on presentation is predictive of need for intervention in patients with acute GIB. PATIENTS AND METHODS: We performed a single-center, retrospective, cross-sectional study including patients ≥18 years old presenting to emergency with acute GIB between January 2014 and December 2014. Intensive care unit (ICU) admission, inpatient endoscopy (upper endoscopy and/or colonoscopy), and packed red blood cell (PRBC) transfusion were assessed as outcomes. Analyses included univariate and multivariate logistic regression analyses. RESULTS: Of 1,237 patients with acute GIB, 468 (37.8%) had venous lactate on presentation. Of these patients, 165 (35.2%) had an elevated lactate level (>2.0 mmol/L). Patients with an elevated lactate level were more likely to be admitted to ICU than patients with a normal lactate level (adjusted odds ratio [AOR] 2.96, 95% confidence interval [CI] 1.74-5.01; p<0.001). Patients with an elevated lactate level were more likely to receive PRBC transfusion (AOR 3.65, 95% CI 1.76-7.55; p<0.001) and endoscopy (AOR 1.64, 95% CI 1.02-2.65; p=0.04) than patients with a normal lactate level. CONCLUSION: Elevated lactate level predicts the need for ICU admissions, transfusions, and endoscopies in patients with acute GIB. Lactate measurement may be a useful adjunctive test in the triage of patients with acute GIB.

Effect of diagnosis related groups implementation on the intensive care unit of a Swiss tertiary hospital: a cohort study.

BACKGROUND: In 2013 the Swiss Diagnosis Related Groups ((Swiss)-DRG) was implemented in Intensive Care Units (ICU). Its impact on hospitalizations has not yet been examined. We compared the number of ICU admissions, according to clinical severity and referring institution, and screened whether implementation of Swiss-DRG affected admission policy, ICU length-of-stay (ICU-LOS) or ICU mortality. METHODS: Retrospective, single centre, cohort study conducted at the University Hospital Zurich, Switzerland between January 2009 and end of September 2013. Demographic and clinical data was retrieved from a quality assurance database. RESULTS: Admissions (n = 17,231) before the introduction of Swiss-DRG were used to model expected admissions after DRG, and then compared to the observed admissions. Forecasting matched observations in patients with a high clinical severity admitted from internal units and external hospitals (admitted / predicted: 709 / 703, [95% Confidence Interval (CI), 658-748] and 302 / 332, [95% CI, 269-365] respectively). In patients with low severity of disease, in-house admissions became more frequent than expected and external admission were less frequent (admitted / predicted: 1972 / 1910, [95% CI, 1898-1940] and 436 / 518, [95% CI, 482-554] respectively). Various mechanisms related to Swiss-DRG may have led to these changes. DRG could not be linked to significant changes in regard to ICU-LOS and ICU mortality. CONCLUSIONS: DRG introduction had not affected ICU admissions policy, except for an increase of in-house patients with a low clinical severity of disease. DRG had neither affected ICU mortality nor ICU-LOS.

Outcomes of Antepartum and Postpartum Obstetric Admissions to the Intensive Care Unit of A Tertiary University Hospital: An 8-Year Review.

OBJECTIVE: Although their rates are decreasing, pregnancy-related mortality and morbidity are problems worldwide. In this study, we aimed to review the characteristics, diagnoses, required interventions and outcomes of obstetric patients admitted between 2006 and 2014 to the Intensive Care Unit (ICU) of a tertiary university hospital to provide an indicator for improving the management of critically ill obstetric patients. METHODS: A retrospective study of hospital records of obstetric admissions to the ICU was conducted. RESULTS: The pregnancy-related ICU admission rate was 0.21% among all deliveries during the study period. Nine antepartum (mean gestational age: 23 weeks) and 48 postpartum (mean gestational age: 34 weeks) obstetric ICU admissions were included. Most obstetric patients admitted antepartum were primiparous (88.8%), whereas those admitted postpartum were multiparous (64.6%). The mean ICU stay was 7 days among the patients admitted antepartum and 6 days among those admitted postpartum. Common medical reasons for ICU admission were respiratory failure and HELLP syndrome in both groups; DIC and eclampsia were also medical reasons causing ICU admission among the postpartum patients. Mechanical ventilation and blood derivative transfusion were the most common interventions required during the ICU stay of the obstetric patients. Maternal death was unique to the patients admitted postpartum (6 patients, 12.5%). CONCLUSION: We reviewed obstetric admissions to our institution over an 8-year period. We believe that a nationwide study in Turkey that provides an indicator of the frequency, reasons of ICU admission and outcome of obstetric patients is required to improve the quality of intensive care.

Baseline assessment of a hospital-specific early warning trigger system for reducing maternal morbidity.

OBJECTIVE: To determine whether predefined maternal early warning triggers (MEWTs) can predict pregnancy morbidity. METHODS: In a retrospective case-control study, obstetric patients admitted to the intensive care unit (ICU) between 2012 and 2013 at seven pilot US hospitals were compared with control patients who had a normal delivery outcome. Six MEWTs were assessed. RESULTS: The case and control groups each contained 50 patients. Hemorrhage (15/50, 30%), sepsis (12/50, 24%), cardiac dysfunction (8/50, 16%), and pre-eclampsia (6/50, 12%) were the most common reasons for ICU admission. Significant associations were recorded between ICU admission and tachycardia (OR 5.0, 95% CI 2.1-11.7), mean arterial pressure less than 65 mm Hg (OR 4.5, 95% CI 1.9-10.8), temperature of at least 38°C (OR 44.1, 95% CI 13.0-839.1), and altered mental state (OR 44.1, 95% CI 13.1-839.0). Two or more triggers were persistent for 30 minutes or more in 36 (72%) ICU patients versus 2 (4%) controls (OR 61.7, 95% CI 13.2-288.0). Earlier medical intervention might have led to a lesser degree of maternal morbidity for 31 (62%) ICU patients with at least one MEWT. CONCLUSION: Persistent MEWTs were present in most obstetric ICU cases. Retrospectively, MEWTs in this cohort seemed to separate normal obstetric patients from those for whom ICU admission was indicated; their use might reduce maternal morbidity.

Frequency and risk factors of COPD exacerbations and hospitalizations: a nationwide study in Greece (Greek Obstructive Lung Disease Epidemiology and health ecoNomics: GOLDEN study).

BACKGROUND: COPD exacerbations and hospitalizations have been associated with poor prognosis for the COPD patient. OBJECTIVE: To evaluate the frequency and risk factors of COPD exacerbations, hospitalizations, and admissions to intensive care units (ICUs) in Greece by a nationwide cross-sectional study. MATERIALS AND METHODS: A nationwide observational, multicenter, cross-sectional study was conducted in the clinical practice setting of respiratory medicine physicians over a 6 month-period (October 2010 to March 2011). A total of 6,125 COPD patients were recruited by 199 respiratory physicians. RESULTS: Participants had a median age of 68.0 years, 71.3% were males, and 71.8% suffered from comorbidities. The median disease duration was 10.0 years. Of the patients, 45.3% were classified as having GOLD (Global initiative for chronic Obstructive Lung Disease) stage III or IV COPD. Patients with four or more comorbidities had 78.5% and threefold-higher than expected number of exacerbations and hospitalizations, respectively, as well as fivefold-higher risk of admission to the ICU compared to those with no comorbidities. Obese patients had 6.2% fewer expected exacerbations compared to those with a normal body mass index. Patients with GOLD stage IV had 74.5% and fivefold-higher expected number of exacerbations and hospitalizations, respectively, and nearly threefold-higher risk of admission to the ICU compared to stage I patients. An additional risk factor for exacerbations and hospitalizations was low compliance with treatment: 45% of patients reported forgetting to take their medication, and 81% reported a preference for a treatment with a lower dosing frequency. CONCLUSION: Comorbidities, disease severity, and compliance with treatment were identified as the most notable risk factors for exacerbations, hospitalizations, and ICU admissions. The results point to the need for a multifactorial approach for the COPD patient and for the development of strategies that can increase patient compliance with treatment.