Analysis of 5-year hospitalization data of patients with systemic lupus erythematosus: Damage is a risk factor for frequent and longer stays.

OBJECTIVE: The annual hospitalization rate of patients with systemic lupus erythematosus (SLE) is approximately 10%, and hospitalizations are responsible for most of the healthcare expenses. Herein, we analyzed 5-year hospitalization data of SLE patients and determined factors leading to hospitalization. METHODS: Clinical, laboratory, and hospitalization data of SLE patients admitted to our rheumatology clinic in 2015-2020 were retrieved from our SLE database and analyzed. SLICC SLE damage index (SDI) and disease activity at admission (SLEDAI-2K) were determined. RESULTS: Among 161 hospitalized patients, 86% were females. Total rheumatologic hospitalization number was 298, and 38% of the patients were hospitalized more than once (1.85 ± 1.56). The mean hospitalization duration covering all stays for each patient was 25 ± 26.5 days. Active disease, infection, and damage-related complications were first three causes of hospitalization. Compared to patients hospitalized for active disease or damage, patients hospitalized for infection had a significantly higher number of readmissions (p < .05) and their total hospital stay was longer (p < .01).The frequency of patients with damage and the mean SDI score was significantly lower in the active disease group (68%, 1.93 ± 2.05) than hospitalizations for infection (90%, 2.68 ± 1.63) and damage-related causes (96%, 3.04 ± 1.65) (p < .05). The mean SDI score and duration (r = 0.551, p < .001) and the number of hospitalizations (r = 0.393, p < .001) were positively correlated. The mean disease activity scores of patients hospitalized for active disease, infection, and damage-related reasons were 11.03 ± 6.08, 3.21 ± 2.80, and 2.96 ± 3.32, respectively (p < .001). Renal active disease was the most common (44%), followed by hematological (34.8%), articular (21.7%), and mucocutaneous (21%) activity.Ten percent of the patients all of whom had damage were admitted to intensive care unit (ICU). Total hospitalization duration, mean SDI, antiphospholipid syndrome, lupus anticoagulant, thrombocytopenia, serositis, pulmonary hypertension, history of alveolar hemorrhage, and cardiac valve involvement were associated with ICU admission (p < .05 for all). CONCLUSION: Disease activity, infections, and damage are the leading causes of hospitalization in SLE patients. Damage prolongs hospital stay and increases hospitalization rate and ICU need. Tight control of disease activity with rational use of immunosuppressive treatment is important to reduce damage and hospitalizations.

Risks of congenital malformations and neonatal intensive care unit admissions with gabapentin use in pregnancy: A cohort study and scoping review with meta-analysis.

BACKGROUND: The increasing and prevalent use of gabapentin among pregnant people highlights the necessity to assess its neonatal safety. OBJECTIVES: This study aimed to investigate the foetal safety of gabapentin during pregnancy using a cohort study and scoping review with a meta-analysis of published evidence. METHODS: We conducted a population-based cohort study using the Manitoba health databases between 1995 and 2019. We examined the association between gabapentin use during pregnancy and the prevalence of major congenital malformations, cardiac and orofacial malformations, and neonatal intensive care unit (NICU) admissions using multivariate regression models. We searched the literature in MEDLINE and EMBASE databases from inception to October 2022 to identify relevant observational studies and conducted a meta-analysis using random-effects models, including our cohort study results. RESULTS: Of the 289,227 included pregnancies, 870 pregnant people were exposed to gabapentin. Gabapentin exposure during the First trimester was not associated with an increased risk of any malformations (adjusted relative risk [aRR]) 1.16 (95% confidence interval [CI] 0.92, 1.46), cardiac malformations (aRR 1.29, 95% CI 0.72, 2.29), orofacial malformations (aRR 1.37, 95% CI 0.50, 3.75), and major congenital malformations (aRR 1.00, 95% CI 0.73, 1.36). whereas exposure during any trimester was associated with an increased NICU admission risk (aRR, 1.99, 95% CI 1.70, 2.32). The meta-analysis of unadjusted results revealed an increased risk of major congenital malformations (RR 1.44, 95% CI 1.28, 1.61, I2 = 0%), cardiac malformations (RR 1.66, 95% CI 1.11, 2.47, I2 = 68%), and NICU admissions (RR 3.15, 95% CI 2.90, 3.41, I2 = 10%), and increased trend of orofacial malformations (RR 1.98, 95% CI 0.79, 5.00, I2 = 0%). CONCLUSIONS: Gabapentin use was associated with an increased risk of NICU admissions in the cohort study and pooled meta-analysis. Clinicians should prescribe gabapentin with caution during pregnancy and further studies are warranted.

Oncology and intensive care doctors' perception of intensive care admission of cancer patients: A cross-sectional national survey.

INTRODUCTION: Prognosis in oncology has improved with early diagnosis and novel therapies. However, critical illness continues to trigger clinical and ethical dilemmas for the treating oncology and intensive care unit (ICU) doctors. OBJECTIVES: The objective of this study was to investigate the perceptions of oncology and ICU doctors in managing critically ill cancer patients. METHODS: A cross-sectional web-based survey exploring the management of a fictitious acutely deteriorating case vignette with solid-organ malignancy. The survey weblink was distributed between May and July 2022 to all Australian oncology and ICU doctors via newsletters to the members of the Medical Oncology Group of Australia, the Australian and New Zealand Intensive Care Society, and the College of Intensive Care Medicine inviting them to participate. The weblink was active till August 2022. The six domains included patient prognostication, advanced care plan, collaborative management, legal/ethical/moral challenges, ICU referral, and protocol-based ICU admission. The outcomes were reported as the level of agreement between oncology and ICU doctors for each domain/question. RESULTS: 184 responses (64 oncology and 120 ICU doctors) were analysed. Most respondents were specialists (78.1% [n = 50] oncology, 78.3% [n = 94] ICU doctors). Oncology doctors more commonly reported managing cancer patients with poor prognosis than ICU doctors (p < 0.001). Oncology doctors less commonly referred such patients for ICU admission (29.7% [n = 19] vs. 80.8% [n = 97], p < 0.001; odds ratio [OR] = 0.07; 95% confidence interval [CI]: 0.03-0.16) and infrequently encountered patients with prior goals of care (GOC) in medical emergency team escalations (40.6% [n = 26] vs. 86.7% [n = 104]; p < 0.001; OR = 0.06; 95% CI: 0.02-0.15; p < 0.001). Oncology doctors were less likely to discuss GOC during medical emergency team calls or within 24 h of ICU admission. More oncology doctors than ICU doctors thought that training rotation in the corresponding speciality group was beneficial (56.3% [n = 36] vs. 31.7% [n = 38]; p = 0.012; OR = 2.07; 95% CI: 1.02-4.23; p = 0.045). CONCLUSION: Oncology doctors were less likely to encounter acute patient deterioration or establish timely GOC for such patients. Oncology doctors believed that an ICU rotation during their training may have helped manage challenging situations.

A significant predictor of in-hospital and long-term mortality and progression in COVID-19 patients: The end-stage liver disease (MELD) score model.

The aim of this study is to investigate the relationship between the model for end-stage liver disease (MELD) score and disease progression and mortality in COVID-19 patients. The files of 4213 patients over the age of 18 who were hospitalized with the diagnosis of COVID-19 between March 20, 2020 and May 1, 2021 were retrospectively scanned. Sociodemographic characteristics, chronic diseases, hemogram and biochemical parameters at the time they were diagnosed with COVID-19 of the patients, duration of hospitalization, duration of intensive care unit (ICU), duration of intubation, in-hospital mortality from COVID-19 and outside-hospital mortality for another reason (within the last 1 year) and recurrent hospitalization (within the last 1 year) were recorded. The MELD scores of the patients were calculated. Two groups were formed as MELD score < 10 and MELD score ≥ 10. The rate of ICU, in-hospital mortality from COVID-19 and outside-hospital mortality from other causes, intubation rate, and recurrent hospitalization were significantly higher in the MELD ≥ 10 group. The duration of ICU, hospitalization, intubation were significantly higher in the MELD ≥ 10 group (p < 0.001). As a result of Univariate and Multivariate analysis, MELD score was found to be the independent predictors of ICU, in-hospital mortality, intubation, and recurrent hospitalization (p < 0.001). MELD score 18.5 predicted ICU with 99% sensitivity and 100% specificity (area under curve [AUC]: 0.740, 95% confidence interval [CI]: 0.717-0.763, p < 0.001) also MELD score 18.5 predicted in-hospital mortality with 99% sensitivity and 100% specificity (AUC: 0.797, 95% CI: 0.775-0.818, p < 0.001). The MELD score was found to be the independent predictors of in-hospital mortality, ICU admission, and intubation in COVID-19 patients.

Perinatal outcomes of socially disadvantaged women in Australia: A population-based retrospective cohort study.

OBJECTIVE: To examine the perinatal outcomes of women who experience social disadvantage using population-based perinatal data collected between 1999 and 2016. DESIGN: Population-based, retrospective cohort study. SETTING: Victoria, Australia. POPULATION OR SAMPLE: A total of 1 188 872 singleton births were included. METHODS: Cohort study using routinely collected perinatal data. Multiple logistic regression was performed to determine associations between social disadvantage and adverse maternal and neonatal outcomes with confidence limits set at 99%. Time-trend analysis for perinatal outcomes was performed in relation to area-level disadvantage measures. MAIN OUTCOME MEASURES: Incidence of maternal admission to intensive care unit (ICU), postpartum haemorrhage (PPH) and caesarean section, perinatal mortality, preterm birth, low birthweight (LBW), and admission to special care nursery/neonatal intensive care unit (SCN/NICU). RESULTS: Social disadvantage was associated with higher odds of adverse perinatal outcomes. Disadvantaged women were more likely to be admitted to ICU, have a PPH or experience perinatal mortality (stillbirth or neonatal death) and their neonates were more likely to be admitted to SCN/NICU, be born preterm and be LBW. A persistent social gradient existed across time for the most disadvantaged women for all outcomes except caesarean section. CONCLUSIONS: Social disadvantage has a marked negative impact on perinatal outcomes. This aligns with national and international evidence regarding the impact of disadvantage. Strategies that improve access to, and reduce fragmentation in, maternity care in addition to initiatives that address the social determinants of health may contribute to improving perinatal outcomes for socially disadvantaged women.

A Systematic Literature Review of the Burden of Respiratory Syncytial Virus and Health Care Utilization Among United States Infants Younger Than 1 Year.

BACKGROUND: The burden and health care utilization (HCU) of respiratory syncytial virus (RSV) in US infants aged <1 year across health care settings are not well characterized. METHODS: We systematically reviewed studies of RSV and bronchiolitis published 2000-2021 (data years, 1979-2020). Outcomes included RSV hospitalization (RSVH)/bronchiolitis hospitalization rates, emergency department (ED)/outpatient (OP) visit rates, and intensive care unit (ICU) admissions or mechanical ventilation (MV) use among RSV-/bronchiolitis-hospitalized infants. Study quality was determined using standard tools. RESULTS: We identified 141 good-/fair-quality studies. Five national studies reported annual average RSVH rates (range, 11.6 per 1000 per year among infants aged 6-11 months in 2006 to 50.1 per 1000 per year among infants aged 0-2 months in 1997). Two national studies provided RSVH rates by primary diagnosis for the entire study period (range, 22.0-22.7 per 1000 in 1997-1999 and 1997-2000, respectively). No national ED/OP data were available. Among 11 nonnational studies, RSVH rates varied due to differences in time, populations (eg, prematurity), and locations. One national study reported that RSVH infants with high-risk comorbidities had 5-times more MV use compared to non-high-risk infants in 1997-2012. CONCLUSIONS: Substantial data variability was observed. Nationally representative studies are needed to elucidate RSV burden and HCU.

C-reactive protein, D-dimer, erythrocyte sedimentation rate, and troponin in intensive care unit patients with COVID-19 in Iran.

Background: The coronavirus disease 2019 (COVID-19) pandemic in Iran has led to a lack of intensive care unit (ICU) facilities. This study examines C-reactive protein (CRP), D-dimer, erythrocyte sedimentation rate (ESR), and troponin in ICU patients with COVID-19 in comparison to COVID-19 patients admitted to the wards in Iran. Materials and Methods: In a case-control study, troponin, CRP, ESR, and D-dimer were compared in the case samples of 109 COVID-19 patients admitted to the ICU, and in the control group, 140 COVID-19 patients admitted to the wards. Results: The mean of CRP (P < 0.001) and D-dimer (P < 0.001) was higher, whereas troponin (P < 0.001) was lower in patients admitted to the ICU, but no significant difference was observed between the values of ESR (P = 0.292) in the two groups. Conclusion: This study showed that the values of CRP and D-dimer were higher in patients admitted to the ICU, but no significant difference was observed between the values of ESR in the two groups.

Pressure on the Health-Care System and Intensive Care Utilization During the COVID-19 Outbreak in the Lombardy Region of Italy: A Retrospective Observational Study in 43,538 Hospitalized Patients.

During the spring of 2020, the coronavirus disease 2019 (COVID-19) epidemic caused an unprecedented demand for intensive-care resources in the Lombardy region of Italy. Using data on 43,538 hospitalized patients admitted between February 21 and July 12, 2020, we evaluated variations in intensive care unit (ICU) admissions and mortality over the course of 3 periods: the early phase of the pandemic (February 21-March 13), the period of highest pressure on the health-care system (March 14-April 25, when numbers of COVID-19 patients exceeded prepandemic ICU bed capacity), and the declining phase (April 26-July 12). Compared with the early phase, patients aged 70 years or more were less often admitted to an ICU during the period of highest pressure on the health-care system (odds ratio (OR) = 0.47, 95% confidence interval (CI): 0.41, 0.54), with longer ICU delays (incidence rate ratio = 1.82, 95% CI: 1.52, 2.18) and lower chances of dying in the ICU (OR = 0.47, 95% CI: 0.34, 0.64). Patients under 56 years of age had more limited changes in the probability of (OR = 0.65, 95% CI: 0.56, 0.76) and delay to (incidence rate ratio = 1.16, 95% CI: 0.95, 1.42) ICU admission and increased mortality (OR = 1.43, 95% CI: 1.00, 2.07). In the declining phase, all quantities decreased for all age groups. These patterns may suggest that limited health-care resources during the peak phase of the epidemic in Lombardy forced a shift in ICU admission criteria to prioritize patients with higher chances of survival.

Effects of prenatal exposure to maternal COVID-19 and perinatal care on neonatal outcome: results from the INTERCOVID Multinational Cohort Study.

BACKGROUND: The effect of COVID-19 in pregnancy on maternal outcomes and its association with preeclampsia and gestational diabetes mellitus have been reported; however, a detailed understanding of the effects of maternal positivity, delivery mode, and perinatal practices on fetal and neonatal outcomes is urgently needed. OBJECTIVE: To evaluate the impact of COVID-19 on fetal and neonatal outcomes and the role of mode of delivery, breastfeeding, and early neonatal care practices on the risk of mother-to-child transmission. STUDY DESIGN: In this cohort study that took place from March 2020 to March 2021, involving 43 institutions in 18 countries, 2 unmatched, consecutive, unexposed women were concomitantly enrolled immediately after each infected woman was identified, at any stage of pregnancy or delivery, and at the same level of care to minimize bias. Women and neonates were followed up until hospital discharge. COVID-19 in pregnancy was determined by laboratory confirmation and/or radiological pulmonary findings or ≥2 predefined COVID-19 symptoms. The outcome measures were indices of neonatal and perinatal morbidity and mortality, neonatal positivity and its correlation with mode of delivery, breastfeeding, and hospital neonatal care practices. RESULTS: A total of 586 neonates born to women with COVID-19 diagnosis and 1535 neonates born to women without COVID-19 diagnosis were enrolled. Women with COVID-19 diagnosis had a higher rate of cesarean delivery (52.8% vs 38.5% for those without COVID-19 diagnosis, P<.01) and pregnancy-related complications, such as hypertensive disorders of pregnancy and fetal distress (all with P<.001), than women without COVID-19 diagnosis. Maternal diagnosis of COVID-19 carried an increased rate of preterm birth (P≤.001) and lower neonatal weight (P≤.001), length, and head circumference at birth. In mothers with COVID-19 diagnosis, the length of in utero exposure was significantly correlated to the risk of the neonate testing positive (odds ratio, 4.5; 95% confidence interval, 2.2-9.4 for length of in utero exposure >14 days). Among neonates born to mothers with COVID-19 diagnosis, birth via cesarean delivery was a risk factor for testing positive for COVID-19 (odds ratio, 2.4; 95% confidence interval, 1.2-4.7), even when severity of maternal conditions was considered and after multivariable logistic analysis. In the subgroup of neonates born to women with COVID-19 diagnosis, the outcomes worsened when the neonate also tested positive, with higher rates of neonatal intensive care unit admission, fever, gastrointestinal and respiratory symptoms, and death, even after adjusting for prematurity. Breastfeeding by mothers with COVID-19 diagnosis and hospital neonatal care practices, including immediate skin-to-skin contact and rooming-in, were not associated with an increased risk of newborn positivity. CONCLUSION: In this multinational cohort study, COVID-19 in pregnancy was associated with increased maternal and neonatal complications. Cesarean delivery was significantly associated with newborn COVID-19 diagnosis. Vaginal delivery should be considered the safest mode of delivery if obstetrical and health conditions allow it. Mother-to-child skin-to-skin contact, rooming-in, and direct breastfeeding were not risk factors for newborn COVID-19 diagnosis, thus well-established best practices can be continued among women with COVID-19 diagnosis.

Glyphosate exposure in early pregnancy and reduced fetal growth: a prospective observational study of high-risk pregnancies.

BACKGROUND: Prenatal glyphosate (GLY) exposure is associated with adverse reproductive outcomes in animal studies. Little is known about the effects of GLY exposure during pregnancy in the human population. This study aims to establish baseline urine GLY levels in a high-risk and racially diverse pregnancy cohort and to assess the relationship between prenatal GLY exposure and fetal development and birth outcomes. METHODS: Random first trimester urine specimens were collected from high risk pregnant women between 2013 and 2016 as part of the Indiana Pregnancy Environmental Exposures Study (PEES). Demographic and clinical data were abstracted from mother and infant medical records. Urine glyphosate levels were measured as a proxy for GLY exposure and quantified using liquid chromatography-tandem mass spectrometry. Primary outcome variables included gestation-adjusted birth weight percentile (BWT%ile) and neonatal intensive care unit (NICU) admission. Relationships between primary outcome variables and GLY exposure were assessed using univariate and multivariate linear and logistic regression models. RESULTS: Urine GLY levels above the limit of detection (0.1 ng/mL) were found in 186 of 187 (99%) pregnant women. Further analyses were limited to 155 pregnant women with singleton live births. The mean age of participants was 29 years, and the majority were non-Hispanic white (70%) or non-Hispanic Black (21%). The mean (± SD) urine GLY level was 3.33 ± 1.67 ng/mL. Newborn BWT%iles were negatively related to GLY (adjusted slope ± SE = -0.032 + 0.014, p = 0.023). Infants born to women living outside of Indiana's large central metropolitan area were more likely to have a lower BWT%ile associated with mother's first trimester GLY levels (slope ± SE = -0.064 ± 0.024, p = 0.007). The adjusted odds ratio for NICU admission and maternal GLY levels was 1.16 (95% CI: 0.90, 1.67, p = 0.233). CONCLUSION: GLY was found in 99% of pregnant women in this Midwestern cohort. Higher maternal GLY levels in the first trimester were associated with lower BWT%iles and higher NICU admission risk. The results warrant further investigation on the effects of GLY exposure in human pregnancies in larger population studies.

Does lack of exposure to individual antidepressants at different points during pregnancy associate with reduced risk of adverse newborn outcomes?

BACKGROUND: The objective of this study was to determine if the lack of exposure to individual antidepressants at certain times in pregnancy improved maternal and infant outcomes. METHODS: This was a retrospective cohort study of 2741 pregnant women prescribed antidepressant(s) before or during pregnancy. Data were obtained from electronic medical records. Analysis was limited to women prescribed one of five antidepressants (bupropion, citalopram, escitalopram, fluoxetine, sertraline). Period of exposure was determined using prescription order dates. Primary outcomes were neonatal intensive care unit (NICU) admission and adaptation syndrome in the newborn. Logistic regression, adjusted for maternal age, race, and insurance, compared consistent exposure throughout pregnancy versus (A) no exposure in the third trimester, (B) no exposure early in pregnancy, and (C) exposure in the midtrimester alone. RESULTS: Compared to women prescribed an antidepressant continually throughout pregnancy, NICU admission was less likely for women lacking exposure in the third trimester if they had been taking bupropion (aOR 0.43, 95% CI 0.21-0.90) or escitalopram (aOR 0.49, 95% CI 0.28-0.85). Women previously taking escitalopram but lacking third trimester exposure also had lower odds of adaptation syndrome (aOR 0.19, 95% CI 0.07-0.48). No differences were found in other outcomes for women taking other antidepressants or for any outcomes for women who lacked early pregnancy drug exposure compared to exposure throughout pregnancy. CONCLUSION: For the five antidepressants included in this study, lack of exposure early or late in pregnancy compared to consistent exposure throughout pregnancy generally did not change newborn outcomes. The exceptions were bupropion and escitalopram, where lack of exposure in the third trimester associated with lower rates of adaptation syndrome or NICU admission. These data may help pregnant women with depression in need of drug therapy to have informed discussions with providers about the potential risks and benefits to continuing or stopping drugs at different times during pregnancy.

The lymphocyte/monocyte ratio and red blood cell transfusion during radical retropubic prostatectomy.

PURPOSE: Despite improvements of strategy in radical retropubic prostatectomy, blood loss is still a major concern. The lymphocyte/monocyte (LM) ratio is a prognostic indicator for various diseases. We identified the risk factors, including the LM ratio, for red blood cell (RBC) transfusion during radical retropubic prostatectomy. METHODS: This retrospective study assessed patients who underwent radical retropubic prostatectomy between March 2009 and December 2020. To determine the risk factors for RBC transfusion, a multivariate logistic regression analysis was conducted. A receiver operating characteristic (ROC) curve analysis was also performed. Postoperative outcomes, including acute kidney injury (AKI), hospitalization duration, and intensive care unit (ICU) admission, were also evaluated. RESULTS: Among 1302 patients, 158 patients (12.1%) received an intraoperative RBC transfusion. Multivariate logistic regression analysis demonstrated that the risk factors for RBC transfusion were the LM ratio, hemoglobin, 6% hydroxyethyl starch amount, and positive surgical margin. The area under the ROC curve of LM ratio was 0.706 (cut-off = 4.3). The LM ratio at ≤ 4.3 was significantly related to transfusion in multivariate-adjusted analysis (odds ratio = 4.598, P < 0.001). AKI and ICU admission were significantly higher, and the hospitalization duration was significantly longer in patients with RBC transfusion. CONCLUSIONS: The LM ratio was a risk factor for RBC transfusion in radical retropubic prostatectomy. The optimal cut-off value of the LM ratio to predict transfusion was 4.3. RBC transfusion was associated with poor postoperative outcomes. Therefore, our results suggest that the LM ratio provide useful information on RBC transfusion in radical retropubic prostatectomy.

Socio-Demographic Health Determinants Are Associated with Poor Prognosis in Spanish Patients Hospitalized with COVID-19.

INTRODUCTION: Social vulnerability is a known determinant of health in respiratory diseases. Our aim was to identify whether there are socio-demographic factors among COVID-19 patients hospitalized in Spain and their potential impact on health outcomes during the hospitalization. METHODS: A multicentric retrospective case series study based on administrative databases that included all COVID-19 cases admitted in 19 Spanish hospitals from 1 March to 15 April 2020. Socio-demographic data were collected. Outcomes were critical care admission and in-hospital mortality. RESULTS: We included 10,110 COVID-19 patients admitted to 18 Spanish hospitals (median age 68 (IQR 54-80) years old; 44.5% female; 14.8% were not born in Spain). Among these, 779 (7.7%) cases were admitted to critical care units and 1678 (16.6%) patients died during the hospitalization. Age, male gender, being immigrant, and low hospital saturation were independently associated with being admitted to an intensive care unit. Age, male gender, being immigrant, percentile of average per capita income, and hospital experience were independently associated with in-hospital mortality. CONCLUSIONS: Social determinants such as residence in low-income areas and being born in Latin American countries were associated with increased odds of being admitted to an intensive care unit and of in-hospital mortality. There was considerable variation in outcomes between different Spanish centers.

Outcomes of Hospitalized COVID-19 Patients Receiving Renin Angiotensin System Blockers and Calcium Channel Blockers.

INTRODUCTION: Use of certain antihypertensive medications has been an area of interest during the COVID-19 pandemic, and several hypotheses have been developed regarding the effects of renin-angiotensin system blockers as well as calcium channel blockers in those infected with COVID-19. We seek to determine the association between exposure to ACEI, ARB, and CCB and outcomes in those admitted to the hospital with COVID-19 infection. METHODS: This retrospective cohort study included 841 adult patients hospitalized with COVID-19 infection at the University of Chicago Medical Center between March 25 and June 22, 2020. Out of these 841, 453 patients had a personal history of hypertension. For the first part, we evaluated primary outcomes of in-hospital mortality and ICU admission in hospitalized COVID-19 patients based on their exposure to particular medications regardless of a personal history of hypertension and compared them with those who were not on these medications. For the second part, we evaluated the aforementioned outcomes in 453 patients with a personal history of hypertension based on their medication exposure. Secondary outcomes of length of stay, readmission rate, and new-onset dialysis requirement were also compared across the study groups. RESULTS: Out of 841 patients, 111 (13.19%) were on ACEI/ARB (median age: 66.1, SD 15.4; 52.25% females) and 730 (86.80%) were not on them (median age: 56.6, SD 20.3; 50.14% females), while 277 (32.93%) used CCB (median age: 64.6, SD 15.2; 57.04% females) and 564 (67.06%) did not use CCB (median age: 54.6, SD 21.2; 47.16% females). After adjusting for demographics and covariates, neither ACEI/ARB nor CCB exposure was associated with any effect on mortality, but ACEI/ARB exposure was associated with 42% reduction in risk of ICU admissions (OR 0.58, 95% CI [0.35, 0.95], p value 0.03). In addition, combined use of ACEI/ARB and CCB was associated with statistically significant (45%) reduction in ICU admission (OR 0.55, 95% CI [0.32, 0.94], p value 0.029). Out of 453 patients with a personal history of hypertension, 85 (18.76%) were taking ACEI/ARB (median age 65, SD 15.6; 56.47% females) and 368 (81.24%) were not on ACEI/ARB (median age 62.8, SD 16.4; 54.89% females), while 208 (45.92%) out of 453 were on CCB (median age 65; SD 14.8; 60.1% females) and 245 (54.08%) were not on CCB (median age 61.7, SD 17.3; 51.02% females). In the fully adjusted model in this group, ACEI use was associated with 71% reduction in in-house mortality (OR 0.29, 95% CI [0.09, 0.93], p value 0.03). DISCUSSION/CONCLUSION: Among all hospitalized patients with COVID-19 infection, exposure to ACEI/ARB, as well as combined exposure to ACEI/ARB and CCB, were associated with reduced incidence of ICU admissions. In those admitted patients who had a personal history of hypertension, there was a trend towards reduced in-hospital mortality in those exposed to ACEI.

COVID-19 outcomes of 10,881 patients: retrospective study of neurological symptoms and associated manifestations (Philippine CORONA Study).

Our study aimed to determine the effects of new-onset neurological symptoms (NNS) on clinically relevant outcomes in hospitalized patients with COVID-19 infection. We conducted a nationwide, comparative, retrospective, cohort study among adult, hospitalized COVID-19 patients involving 37 hospital sites from various regions in the Philippines. We included a total of 10,881 patients with confirmed COVID-19 infection (2008 had NNS while 8873 did not have NNS). The adjusted hazard ratios (aHRs) for mortality among the mild and severe cases were significantly higher by 1.660 (95% CI 1.132-2.435) and by 1.352 (95% CI 1.042-1.752), respectively, in the NNS group compared to those in the non-NNS group. The aHRs for respiratory failure in the NNS group were significantly increased by 1.914 (95% CI 1.346-2.722), by 1.614 (95% CI 1.260-2.068), and by 1.234 (95% CI 1.089-1.398) among the mild, severe, and critical cases, respectively. The aHRs for ICU admission in the NNS group were still significantly higher by 1.973 (95% CI 1.457-2.673) and by 1.831 (95% CI 1.506-2.226) among the mild and severe cases, respectively. Patients who had NNS were not significantly associated with a longer duration of ventilator dependence (adjusted odds ratio (aOR) 0.954, 95% CI 0.772-1.179), longer ICU stay (aOR 0.983, 95% CI 0.772-1.252) and longer hospital admission (aOR 1.045, 95% CI 0.947-1.153). The presence of NNS significantly increases the risk of mortality, respiratory failure and ICU admission among COVID-19 patients. Registration and associated protocol publication: ClinicalTrials.gov website (NCT04386083); Espiritu AI, Sy MCC, Anlacan VMM, Jamora RDG. The Philippine COVID-19 Outcomes: a Retrospective study Of Neurological manifestations and Associated symptoms (The Philippine CORONA study): a protocol study. BMJ Open. 2020;10:e040944.

Prediction of obstetrical and fetal complications using automated electronic health record data.

An increasing number of delivering women experience major morbidity and mortality. Limited work has been done on automated predictive models that could be used for prevention. Using only routinely collected obstetrical data, this study aimed to develop a predictive model suitable for real-time use with an electronic medical record. We used a retrospective cohort study design with split validation. The denominator consisted of women admitted to a delivery service. The numerator consisted of women who experienced a composite outcome that included both maternal (eg, uterine rupture, postpartum hemorrhage), fetal (eg, stillbirth), and neonatal (eg, hypoxic ischemic encephalopathy) adverse events. We employed machine learning methods, assessing model performance using the area under the receiver operator characteristic curve and number needed to evaluate. A total of 303,678 deliveries took place at 15 study hospitals between January 1, 2010, and March 31, 2018, and 4130 (1.36%) had ≥1 obstetrical complication. We employed data from 209,611 randomly selected deliveries (January 1, 2010, to March 31, 2017) as a derivation dataset and validated our findings on data from 52,398 randomly selected deliveries during the same time period (validation 1 dataset). We then applied our model to data from 41,669 deliveries from the last year of the study (April 1, 2017, to March 31, 2018 [validation 2 dataset]). Our model included 35 variables (eg, demographics, vital signs, laboratory tests, progress of labor indicators). In the validation 2 dataset, a gradient boosted model (area under the receiver operating characteristic curve or c statistic, 0.786) was slightly superior to a logistic regression model (c statistic, 0.778). Using an alert threshold of 4.1%, our final model would flag 16.7% of women and detect 52% of adverse outcomes, with a number needed to evaluate of 20.9 and 0.455 first alerts per day per 1000 annual deliveries. In conclusion, electronic medical record data can be used to predict obstetrical complications. The clinical utility of these automated models has not yet been demonstrated. To conduct interventions to assess whether using these models results in patient benefit, future work will need to focus on the development of clinical protocols suitable for use in interventions.

Invasive pneumococcal disease burden in hospitalized adults in Bogota, Colombia.

BACKGROUND: The incidence of invasive pneumococcal disease (IPD) varies depending on a number of factors, including vaccine uptake, in both children and adults, the geographic location, and local serotype prevalence. There are limited data about the burden of Streptococcus pneumoniae (Spn), serotype distribution, and clinical characteristics of adults hospitalized due to IPD in Colombia. The objectives of this study included assessment of Spn serotype distribution, clinical characteristics, mortality, ICU admission, and the need for mechanical ventilation. METHODS: This was an observational, retrospective, a citywide study conducted between 2012 and 2019 in Bogotá, Colombia. We analyzed reported positive cases of IPD from 55 hospitals in a governmental pneumococcal surveillance program. Pneumococcal strains were isolated in each hospital and typified in a centralized laboratory. This is a descriptive study stratified by age and subtypes of IPD obtained through the analysis of medical records. RESULTS: A total of 310 patients with IPD were included, of whom 45.5% were female. The leading cause of IPD was pneumonia (60%, 186/310), followed by meningitis. The most frequent serotypes isolated were 19A (13.87%, 43/310) and 3 (11.94%, 37/310). The overall hospital mortality rate was 30.3% (94/310). Moreover, 52.6% (163/310 patients) were admitted to the ICU, 45.5% (141/310) required invasive mechanical ventilation and 5.1% (16/310) non-invasive mechanical ventilation. CONCLUSION: Pneumococcal pneumonia is the most prevalent cause of IPD, with serotypes 19A and 3 being the leading cause of IPD in Colombian adults. Mortality due to IPD in adults continues to be very high.

Fatal outcome and intensive care unit admission after total hip and knee arthroplasty: An analytic of preoperative frailty and comorbidities.

BACKGROUND: With increasing demand for total hip arthroplasty (THA) and total knee arthroplasty (TKA), a higher percentage of patients are identified with comorbidities that might increase the risk of complications. We aimed to elucidate the preoperative characteristics of patients with a fatal outcome or admission to the Intensive Care Unit (ICU) within 90 days after THA or TKA. We arbitrarily hypothesized that more than 50% of those patients would be frail. METHODS: This is a register based, explorative study including patients undergoing elective, unilateral, primary THA or TKA in the Capital Region of Denmark from 2010 to 2017, and who subsequently died or were admitted to the ICU within 90 days. The modified Frailty Index (mFI) was calculated from the medical records, and a score of ≥0.36 defined frailty. RESULTS: A total of 33,758 patients underwent THA or TKA, and 284 patients (0.8%) died or were admitted to the ICU within 90 days. Fifty-seven patients (20%) were frail (95% CI 16.2-25.7%). The most common comorbidities were hypertension (63%) and pulmonary diseases (32%), and 56% used walking aids. Two or more comorbidities were present in 65% of patients, and 14% had no comorbidities at all. CONCLUSION: Only 20% of patients with a fatal outcome or ICU admission after elective THA or TKA could be categorized as frail based on the mFI. Further studies with a prospective design are needed to clarify the mFI as a risk stratification tool in elderly multimorbid patients undergoing elective arthroplasty surgery.

Prediction of adverse perinatal outcome by fetal biometry: comparison of customized and population-based standards.

OBJECTIVE: To compare the predictive performance of estimated fetal weight (EFW) percentiles, according to eight growth standards, to detect fetuses at risk for adverse perinatal outcome. METHODS: This was a retrospective cohort study of 3437 African-American women. Population-based (Hadlock, INTERGROWTH-21st , World Health Organization (WHO), Fetal Medicine Foundation (FMF)), ethnicity-specific (Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)), customized (Gestation-Related Optimal Weight (GROW)) and African-American customized (Perinatology Research Branch (PRB)/NICHD) growth standards were used to calculate EFW percentiles from the last available scan prior to delivery. Prediction performance indices and relative risk (RR) were calculated for EFW < 10th and > 90th percentiles, according to each standard, for individual and composite adverse perinatal outcomes. Sensitivity at a fixed (10%) false-positive rate (FPR) and partial (FPR < 10%) and full areas under the receiver-operating-characteristics curves (AUC) were compared between the standards. RESULTS: Ten percent (341/3437) of neonates were classified as small-for-gestational age (SGA) at birth, and of these 16.4% (56/341) had at least one adverse perinatal outcome. SGA neonates had a 1.5-fold increased risk of any adverse perinatal outcome (P < 0.05). The screen-positive rate of EFW < 10th percentile varied from 6.8% (NICHD) to 24.4% (FMF). EFW < 10th percentile, according to all standards, was associated with an increased risk for each of the adverse perinatal outcomes considered (P < 0.05 for all). The highest RRs associated with EFW < 10th percentile for each adverse outcome were 5.1 (95% CI, 2.1-12.3) for perinatal mortality (WHO); 5.0 (95% CI, 3.2-7.8) for perinatal hypoglycemia (NICHD); 3.4 (95% CI, 2.4-4.7) for mechanical ventilation (NICHD); 2.9 (95% CI, 1.8-4.6) for 5-min Apgar score < 7 (GROW); 2.7 (95% CI, 2.0-3.6) for neonatal intensive care unit (NICU) admission (NICHD); and 2.5 (95% CI, 1.9-3.1) for composite adverse perinatal outcome (NICHD). Although the RR CIs overlapped among all standards for each individual outcome, the RR of composite adverse perinatal outcome in pregnancies with EFW < 10th percentile was higher according to the NICHD (2.46; 95% CI, 1.9-3.1) than the FMF (1.47; 95% CI, 1.2-1.8) standard. The sensitivity for composite adverse perinatal outcome varied substantially between standards, ranging from 15% for NICHD to 32% for FMF, due mostly to differences in FPR; this variation subsided when the FPR was set to the same value (10%). Analysis of AUC revealed significantly better performance for the prediction of perinatal mortality by the PRB/NICHD standard (AUC = 0.70) compared with the Hadlock (AUC = 0.66) and FMF (AUC = 0.64) standards. Evaluation of partial AUC (FPR < 10%) demonstrated that the INTERGROWTH-21st standard performed better than the Hadlock standard for the prediction of NICU admission and mechanical ventilation (P < 0.05 for both). Although fetuses with EFW > 90th percentile were also at risk for any adverse perinatal outcome according to the INTERGROWTH-21st (RR = 1.4; 95% CI, 1.0-1.9) and Hadlock (RR = 1.7; 95% CI, 1.1-2.6) standards, many times fewer cases (2-5-fold lower sensitivity) were detected by using EFW > 90th percentile, rather than EFW < 10th percentile, in screening by these standards. CONCLUSIONS: Fetuses with EFW < 10th percentile or EFW > 90th percentile were at increased risk of adverse perinatal outcomes according to all or some of the eight growth standards, respectively. The RR of a composite adverse perinatal outcome in pregnancies with EFW < 10th percentile was higher for the most-stringent (NICHD) compared with the least-stringent (FMF) standard. The results of the complementary analysis of AUC suggest slightly improved detection of adverse perinatal outcome by more recent population-based (INTERGROWTH-21st ) and customized (PRB/NICHD) standards compared with the Hadlock and FMF standards. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.

Increase in the number of patients diagnosed using the new classification of hypertensive disorders of pregnancy in Japan.

AIM: This study aimed to examine how the number of patients diagnosed with pre-eclampsia increased according to the Japanese classification of hypertensive disorders of pregnancy (HDP) that was revised in 2018. The effect of new classification on perinatal outcomes was also analyzed. METHODS: We enrolled 181 women with HDP who delivered at Hokkaido University Hospital between February 2011 and December 2017. All women were reclassified on the basis of the new classification, in which proteinuria was not required to diagnose pre-eclampsia in patients with maternal organ damage. The number and reasons of reclassification and the admission rate to the neonatal intensive care unit (NICU) and gestational age (GA) at the onset of HDP and at delivery were analyzed. RESULTS: In this cohort, 17 (9.4%) of 181 women with HDP were reclassified. Low platelet count (41.2%) and uteroplacental dysfunction (41.2%) were the two main causes for reclassification. GA at the onset of HDP (33.6 [29.9-36.1] weeks vs 37.4 [35.7-38.4] weeks; P < 0.001) and at delivery (35.9 [32.4-37.3] weeks vs 38.1 [37.3-39.6] weeks; P < 0.001) were significantly earlier in women with reclassification than women without reclassification. The NICU admission rate was higher in women with reclassification than women without reclassification (70.6% vs 20.4%; P < 0.001). CONCLUSION: Almost 10% of pregnant women were newly diagnosed with pre-eclampsia as per the new Japanese classification of HDP. Women with reclassification as pre-eclampsia had a greater risk of preterm delivery and NICU admission than those who were not reclassified.