Risk Factors For In-hospital Death Research Articles

Frailty Assessment in the Emergency Department for Risk Stratification of COVID-19 Patients Aged ≥80 Years

ObjectivesTo evaluate, in a cohort of adults aged ≥80 years, the overlapping effect of clinical severity, comorbidities, cognitive impairment, and frailty, for the in-hospital death risk stratification of COVID-19 older patients since emergency department (ED) admission. DesignSingle-center prospective observational cohort study. Setting and ParticipantsThe study was conducted in the ED of a teaching hospital that is a referral center for COVID-19 in central Italy. We enrolled all patients with aged ≥80 years old consecutively admitted to the ED between April 2020 and March 2021. MethodsClinical variables assessed in the ED were evaluated for the association with all-cause in-hospital death. Evaluated parameters were severity of disease, frailty, comorbidities, cognitive impairment, delirium, and dependency in daily life activities. Cox regression analysis was used to identify independent risk factors for poor outcomes. ResultsA total of 729 patients aged ≥80 years were enrolled [median age 85 years (interquartile range 82-89); 346 were males (47.3%)]. According to the Clinical Frailty Scale, 61 (8.4%) were classified as fit, 417 (57.2%) as vulnerable, and 251 (34.4%) as frail. Severe disease [hazard ratio (HR) 1.87, 95% confidence interval (CI) 1.31-2.59], ≥3 comorbidities (HR 1.54, 95% CI 1.11-2.13), male sex (HR 1.46, 95% CI 1.14-1.87), and frailty (HR 6.93, 95% CI 1.69-28.27) for vulnerable and an overall HR of 12.55 (95% CI 2.96-53.21) for frail were independent risk factors for in-hospital death. Conclusions and ImplicationsThe ED approach to older patients with COVID-19 should take into account the functional and clinical characteristics of patients being admitted. A sole evaluation based on the clinical severity and the presence of comorbidities does not reflect the complexity of this population. A comprehensive evaluation based on clinical severity, multimorbidity, and frailty could effectively predict the clinical risk of in-hospital death for patients with COVID-19 aged ≥80 years at the time of ED presentation.

Atrial fibrillation in critically ill patients who received prolonged mechanical ventilation: a nationwide inpatient report.

Background/AimsTo evaluate temporal trends of atrial fibrillation (AF) prevalence in critically ill patients who received prolonged mechanical ventilation (MV) in the United States.MethodsWe used the 2008 to 2014 National Inpatient Sample to compute the weighted prevalence of AF among hospitalized adult patients on prolonged MV. We used multivariable-adjusted models to evaluate the association of AF with clinical factors, in-hospital mortality, hospitalization cost, and length of stay (LOS).ResultsWe identified 2,578,165 patients who received prolonged MV (21.27% of AF patients). The prevalence of AF increased from 14.63% in 2008 to 24.43% in 2014 (p for trend < 0.0001). Amongst different phenotypes of critically ill patients, the prevalence of AF increased in patients with severe sepsis, asthma exacerbation, congestive heart failure exacerbation, acute stroke, and cardiac arrest. Older age, male sex, white race, medicare access, higher income, urban teaching hospital setting, and Western region were associated with a higher prevalence of AF. AF in critical illness was a risk factor for in-hospital death (odds ratio, 1.13; 95% confidence interval, 1.11 to 1.15), but in-hospital mortality in critically ill patients with AF decreased from 11.6% to 8.3%. AF was linked to prolonged LOS (2%, p < 0.0001) and high hospitalization cost (4%, p < 0.0001). LOS (−1%, p < 0.0001) and hospitalization cost (−4%, p < 0.0001) decreased yearly.ConclusionsThe prevalence of comorbid AF is increasing, particularly in older patients. AF may lead to poorer prognosis, and high-quality intensive care is imperative for this population.

Comorbidities and in-hospital death of viral pneumonia adults admitted to SUS (2002-2015).

ABSTRACTOBJECTIVE To identify demographic and clinical characteristics of adult patients hospitalized in the Brazilian Unified Health System (SUS) due to viral pneumonia and investigate the association between some comorbidities and death during hospitalization.METHODS This retrospective cohort study was conducted with secondary data of adults admitted to SUS due to viral pneumonia between 2002 and 2015. Patient profile was characterized based on demographic and clinical variables. The association between the ten Elixhauser comorbidities and in-hospital death was investigated using Poisson regression models with robust standard errors. Results were quantified as incidence rate ratio (IRR) with 95% confidence intervals (CI), and we built five models using successive inclusion of variables blocks.RESULTS Hospital admissions for viral pneumonias decreased throughout the study period, and it was observed that 5.8% of hospitalized patients had an in-hospital death. We observed significant differences in demographic and clinical characteristics by comparing individuals who died during hospitalization with those who did not, with the occurrence of one or more comorbidities being more expressive among patients who died. Although not considered risk factors for in-hospital death, chronic pulmonary disease and congestive heart failure were the most common comorbidities. Conversely, IRR for in-hospital death increased with other neurological disorders, diabetes, cancer, obesity, and especially with HIV/AIDS.CONCLUSIONS Individuals presenting with pulmonary and cardiovascular diseases require proper attention during hospitalization, as well as those with other neurological diseases, diabetes, cancer, obesity, and especially HIV/AIDS. Understanding the influence of chronic diseases on viral infections may support the healthcare system in achieving better outcomes.

The impact of healthcare-associated infections on COVID-19 mortality: a cohort study from a Brazilian public hospital.

This study aims to analyze the risk factors for in-hospital mortality in a cohort of patients admitted to a newly adapted intensive care unit in a public hospital in Rio de Janeiro. This was an observational, retrospective, and descriptive study. Data were obtained from electronic medical records. Coronavirus disease 2019 (COVID-19) was diagnosed by detecting viral ribonucleic acid using reverse transcription polymerase chain reaction. Factors associated with the risk/protection from death were determined using the odds ratio and adjusted odds ratio. Fifty-one patients were admitted to the hospital. The median age of the patients was 63 years, 60% were male patients, and 54% were white patients. Sixty-seven percent of the patients were diagnosed with COVID-19. Sepsis at admission increased the chance of in-hospital death by 21 times (adjusted odds ratio=21.06 [0.79-555.2]; p=0.06). The strongest risk factor for death was the development of septic shock during hospitalization (adjusted odds ratio=98.56 [2.75-352.5]; p=0.01), and one in four patients had multidrug-resistant bacteria. Mechanical ventilation, vasopressors, neuromuscular blockers, and sedatives were also the risk factors for in-hospital mortality. The in-hospital mortality rate was 41%, and the mortality rate of patients on mechanical ventilation was 60%. The diagnosis of COVID-19 was not statistically related to the adverse outcomes. In this cohort, the strongest risk factor for in-hospital death was the development of nosocomial septic shock. Healthcare-associated infections have a significant impact on mortality rates. Therefore, to have a better outcome, it is important to consider not only the availability of beds but also the way healthcare is delivered.

Outcomes and risk factors for death in patients with coronavirus disease-2019 (COVID-19) pneumonia admitted to the intensive care units of an Egyptian University Hospital. A retrospective cohort study

BackgroundThe characteristics, outcomes, and risk factors for in-hospital death of critically ill intensive care unit (ICU) patients with coronavirus disease-2019 (COVID-19) have been described in patients from Europe, North America and China, but there are few data from COVID-19 patients in Middle Eastern countries. The aim of this study was to investigate the characteristics, outcomes, and risk factors for in-hospital death of critically ill patients with COVID-19 pneumonia admitted to the ICUs of a University Hospital in Egypt. MethodsRetrospective analysis of patients with COVID-19 pneumonia admitted between April 28 and July 29, 2020 to two ICUs dedicated to the isolation and treatment of patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in Cairo University Hospitals. Diagnosis was confirmed in all patients using real-time reverse transcription polymerase chain reaction on respiratory samples and radiologic evidence of pneumonia. ResultsOf the 177 patients admitted to the ICUs during the study period, 160 patients had COVID-19 pneumonia and were included in the analysis (mean age: 60 ± 14 years, 67.5% males); 23% of patients had no known comorbidities. The overall ICU and hospital mortality rates were both 24.4%. The ICU and hospital lengths of stay were 7 (25–75% interquartile range: 4–10) and 10 (25–75% interquartile range: 7–14) days, respectively. In a multivariable analysis with in-hospital death as the dependent variable, ischemic heart disease, history of smoking, and secondary bacterial pneumonia were independently associated with a higher risk of in-hospital death, whereas greater PaO2/FiO2 ratio on admission to the ICU was associated with a lower risk. ConclusionIn this cohort of critically ill patients with COVID-19 pneumonia, ischemic heart disease, history of smoking, and secondary bacterial pneumonia were independently associated with a higher risk of in-hospital death.

Preoperative hematological parameters are inadequate for predicting mortality in Stanford Type A aortic dissection repair

Background: Mortality in acute Type A aortic dissection is still high and unpredictable. We aimed to investigate the validity of preoperative hematological markers and possible risk factors in predicting in-hospital mortality in patients operated with deep hypothermic circulatory arrest method. Methods: 78 consecutive patients who were admitted to the emergency service and operated on were retrospectively analyzed. Risk factors for in-hospital death were investigated to develop a predictive model. Results: There was no difference between patients in terms of the were demographic data of the patients. In the mortality group, only preoperative creatinine levels were found to be higher (p &lt; 0.05). Factors affecting mortality were found as total circulatory arrest (TCA) and cross-clamp (X-clamp) times when intraoperative data were examined (p &lt; 0.05). ROC analysis was performed to determine the power to predict mortality and to determine the cut-off point. In ROC analysis to predict mortality, X-Clamp time &gt; 71 minutes, 68.2% sensitivity and 66.1% specificity, TCA &gt; 44.5 minutes, 72.7% sensitivity and 73.2% specificity were found. In the mortality group, these values were found to be significantly higher than those who were discharged. Conclusion: In the surgical treatment of Type A aortic dissection under deep hypothermia, hematologic biomarkers may be insufficient in estimating the risk for mortality. Keywords: Acute; aortic dissection; biomarker; mortality

Sex Disparity in the Effect of Obesity in Hospitalized COVID-19 Patients: A Retrospective Cohort Study From the New York City Metropolitan Area.

Introduction: Obesity has been recognized as a risk factor for poor outcomes in coronavirus disease 2019 (COVID-19) illness. We analyzed the impact of patient characteristics including obesity on hospital mortality and specifically analyzed the effect of obesity by body mass index (BMI) class and by sex.Methods: This retrospective case series included adult patients consecutively hospitalized with confirmed COVID-19 illness between March 12, 2020 and May 13, 2020, at a teaching hospital in the New York City (NYC) metropolitan area. Data were manually extracted from electronic health records by the authors and included demographics, comorbidities, laboratory parameters, and outcomes (hospital mortality or discharge). We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death.Results: Some 348 patients were included in this study, of whom 207 were discharged and 141 died in the hospital. Multivariable regression showed increasing odds of in-hospital death with older age and excess weight. Interestingly obesity increased mortality in women [odds ratio (OR) 4.4, confidence interval (CI) (1.4-13.5) p=0.01] but not among men [OR 1.4, CI (0.5-3.6) p=0.5]. Among women, the effect of excess weight on mortality was seen in a “dose-effect” fashion, with increasingly higher odds of mortality from progressively worsening obesity (OR ranging between 2.7 and 6.9). Out of all the comorbidities, only obesity positively correlated with peak levels of C-reactive protein (CRP).Conclusion: Advancing age is a risk factor for in-hospital death during COVID-19 illness. Obese women could be at a higher risk for mortality due to COVID-19 and should take extra precautions to prevent contamination by social distancing and other measures. Immunomodulators may be more effective in obese women affected by COVID-19. Further studies are needed to help elucidate this association.

Contemporary outcomes for adults with AML requiring ICU admission.

7025 Background: Patients (pts) with AML frequently encounter life-threatening complications requiring transfer to an intensive care unit (ICU). Methods: Retrospective analysis of 145 adults with AML requiring ICU admission at our tertiary cancer center 2018-19. Use of life-sustaining therapies (LSTs) and overall survival (OS) were reported using descriptive statistics. Logistic regression was used to identify risk factors for in-hospital death. Results: Median age was 64 yrs (range 18-86). 47% of pts had an ECOG status of ≥ 2 with a median of at least 1 comorbidity (Table). 117 pts (81%) had active leukemia at admission. 68 pts (47%) had poor-risk cytogenetics (CG) and 32 (22%) had TP53-mutated disease. 61 (42%), 27 (19%) and 57 pts (39%) were receiving 1st, 2nd and ≥ 3rd line therapy. 33 (23%) and 70 pts (48%) were receiving intensive and lower-intensity chemotherapy, respectively, and 77 pts (53%) were concurrently on venetoclax. Most common indications for admission were sepsis (32%), respiratory failure (24%) and leukocytosis (12%); Table outlines additional ICU admission details. Median OS from the date of ICU admission was 2.0 months (mo) for the entire cohort and 6.9, 1.6 and 1.2 mo in pts with favorable-, intermediate- and poor-risk CG. Median OS of pts receiving frontline vs. ≥ 2nd line therapy was 4.2 vs. 1.4 mo (P&lt;0.001). Median OS in pts requiring 0-1 vs. 2-3 LSTs was 4.1 vs. 0.4 mo (P&lt;0.001). OS was not different by age, co-morbidity burden nor therapy intensity. In a multivariate analysis that included SOFA scores, only adverse CG (OR 0.35, P = 0.028), and need for intubation with mechanical ventilation (IMV; OR 0.19, P = 0.009) were associated with increased odds of in-hospital mortality. Conclusions: A substantial portion of pts with AML survive their ICU admission with sufficient functionality to return home and receive subsequent therapy. In contrast to general medical populations, age, co-morbidities, and SOFA scores were not independently predictive of in-hospital mortality. Disease CG risk and the need for IMV were the strongest predictors of ICU survival. This suggests that many pts with AML can benefit from ICU care.[Table: see text]

Association between Thyroid Function and Prognosis of COVID-19: A Retrospective Observational Study

ABSTRACT Background: Coronavirus disease 2019 (COVID-19) is a severe infectious illness. It has been reported that COVID-19 has an effect on thyroid function. However, the association between thyroid function and prognosis of COVID-19 is still unclear. Methods: This retrospective study included patients with COVID-19 admitted to Tongji Hospital in Wuhan from January 28 to April 4, 2020. Demographic, epidemiological, clinical, laboratory, treatment, and outcome data were collected from patients with laboratory-confirmed COVID-19. Patients without history of thyroid disease who had a thyroid function test at admission were enrolled in the final analysis. Risk factors of in-hospital death were explored using univariable and multivariable Cox regression analyses. Survival differences were assessed with Kaplan–Meier curves and log-rank test. Results: A total of 127 patients were included in this study, with 116 survivors and 11 non-survivors. The serum levels of thyroid stimulating hormone (TSH) [0.8 (0.5–1.7) vs. 1.9 (1.0–3.1) μIU/mL, P = .031] and free triiodothyronine (FT3) [2.9 (2.8–3.1) vs. 4.2 (3.5–4.7) pmol/L, P < .001] were lower in non-survivors than in survivors, and a low FT3 state (defined as FT3 < 3.1 pmol/L) at admission accounted for a higher proportion in non-survivors than in survivors (72.7% vs. 11.2%, P < .001). Univariate Cox regression analysis showed that FT3 level (HR 0.213, 95% CI: 0.101–0.451, P < .001) and the low FT3 state (HR 14.607, 95% CI: 3.873–55.081, P < .001) were negatively and positively associated with the risk of in-hospital death, respectively. Furthermore, multivariate Cox regression analysis revealed that a low FT3 state was associated with an increased risk of in-hospital death after adjusting for confounding factors (HR 13.288, 95% CI: 1.089–162.110, P = .043). Moreover, Kaplan-Meier curves indicated a lower survival probability in COVID-19 patients with a low FT3 status. Conclusion: Serum FT3 level is lower in non-survivors among moderate-to-critical patients with COVID-19, and the low FT3 state is associated with an increased risk of in-hospital mortality of COVID-19.

A cross-sectional study of chemotherapy-related AKI

This study aims to detail the characteristics of chemotherapy-related acute kidney injury (CR-AKI) and investigate its effect on patient outcomes. This is a multicenter cross-sectional study of cancer patients with CR-AKI screened from hospital-acquired adult AKI patients based on a nationwide AKI survey in China. Of the 3468 patients with hospital-acquired AKI, 258 cases of CR-AKI were identified. Of the patients, 20.1% (52/258) were ≥ 70 years old. Among the 258 CR-AKI cases, 61 (23.6%) reached AKI stage 3, and 75 (29.1%) reached AKI stage 2. The remaining 122 (47.3%) remained at AKI stage 1. A total of 413 chemotherapeutic agents were related to AKI, of which platinum compounds (24.5%, 101/413) were the most common. In-hospital mortality was 14.7% (38/258), and the rate of AKI non-recovery was 48.3% (100/207). AKI stage 3 (OR 2.930, 95% CI 1.156-7.427) and age ≥ 70 years (OR 3.138, 95% CI 1.309-7.519) were independent risk factors for in-hospital death. Compared to stage 2 or 3 AKI cases, a higher proportion of patients with stage 1 AKI did not recover their renal function (57.1% vs. 41.4% vs. 36.4%, P = 0.032). More AKI episodes were not recognized in patients with stage 1 AKI compared with the other two groups (82.8% vs. 60.0% vs. 36.1%, P < 0.001). CR-AKI accounted for a noteworthy proportion of hospital-acquired AKI, and severe CR-AKI increased in-hospital mortality. Mild CR-AKI was more likely to be overlooked, and sustained kidney injury was common in this situation. Recognizing CR-AKI at an early stage and personalizing treatment should be emphasized in those undergoing chemotherapy.

Characteristics, outcomes and risk factors for mortality of 522 167 patients hospitalised with COVID-19 in Brazil: a retrospective cohort study

ObjectiveTo provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil.DesignRetrospective cohort...

Factors affecting mortality in geriatric patients hospitalized with COVID-19

Background/aimWe aimed to investigate the factors affecting the mortality of patients aged 65 years or older who were hospitalized with the diagnosis of new coronavirus pneumonia (COVID-19). Materials and methodsThis is a retrospective study of patients 65 years old or older with COVID-19 who were hospitalized in İstanbul University-Cerrahpaşa, Cerrahpaşa Medical Faculty Hospital, between March 11 and May 28, 2020. Demographic, clinical, treatment, and laboratory data were extracted from electronic medical records. We used univariate and multivariate logistic regression methods to explore the risk factors for in-hospital death.ResultsA total of 218 patients (112 men, 106 women) were included, of whom 166 were discharged and 52 died in hospital. With univariate analysis, various clinical features and laboratory variables were found to be significantly different (i.e. P < 0.05). In multivariate logistic regression analysis the following were independently associated with mortality: present malignancy [odds ratio (OR) = 4.817, 95% confidence interval (CI) = 1.107–20.958, P: 0.036]; dyspnea (OR = 4.652, 95% CI = 1.473–14.688, P: 0.009); neutrophil/lymphocyte ratio (NLR; OR = 1.097, 95% CI = 1.012–1.188, P: 0.025); the highest values of C-reactive protein (CRP; OR = 1.006, 95% CI = 1.000–1.012, P: 0.049), lactate dehydrogenase (LDH; OR = 1.002, 95% CI = 1.001–1.004, P: 0.003), and creatinine levels (OR = 1.497, 95% CI = 1.126–1.990, P: 0.006); oxygen saturation (SpO2) values on admission (OR = 0.897, 95% CI = 0.811–0.993, P: 0.036); and azithromycin use (OR = 0.239, 95% CI = 0.065–0.874, P: 0.031).ConclusionThe presence of malignancy; symptoms of dyspnea; high NLR; highest CRP, LDH, and creatinine levels; and low SpO2 on admission predicted mortality. On the other hand, azithromycin use was found to be protective against mortality. Knowing the causes predicting mortality will be important to treat future cases more successfully.

Mortality and high risk of major adverse events in patients with COVID-19 and history of cardiovascular disease

ObjectiveHistory of cardiovascular diseases (CVDs) may influence the prognosis of patients hospitalised for COVID-19. We investigated whether patients with previous CVD have increased risk of death and major adverse cardiovascular...

Outcomes of extracorporeal membrane oxygenation in adults with active hematologic and nonhematologic malignancy.

Although the number of cancer patients admitted to the intensive care unit is increasing, the data on the use of extracorporeal membrane oxygenation in patients with malignancy are limited. We applied extracorporeal membrane oxygenation to carefully selected patients with active hematologic malignancy or nonhematologic malignancy who experienced respiratory or cardiac failure despite maximal conventional therapy. Patients with active malignancy who underwent extracorporeal membrane oxygenation in our institution between January 2012 and December 2016 were included in this study. The primary outcome of this study was defined as survival to hospital discharge. We also investigated the factors associated with survival to hospital discharge. There were 30 (30.6%) and 68 (69.4%) patients in the hematologic malignancy group and the nonhematologic malignancy group, respectively. Patients in the hematologic malignancy group were younger, more neutropenic, more hypotensive, had a lower Charlson Comorbidity Index, higher sequential organ failure assessment score, and lower platelet count than those in the nonhematologic malignancy group. Forty-six (46.9%) patients were successfully weaned off extracorporeal membrane oxygenation, and 30 (30.6%) patients survived until hospital discharge. Hospital survival rate and survival status 6months after hospital discharge were significantly lower in patients with hematologic malignancy than in those with nonhematologic malignancy (13.3% vs. 38.2%, P=.026 and 3.3% vs. 26.5%, P=.017, respectively). Multivariate analysis identified an active hematologic malignancy, older age, acidosis, thrombocytopenia, high vasoactive-inotrope score, and respiratory failure as the risk factors for in-hospital death. Patients with hematologic malignancy requiring extracorporeal membrane oxygenation support had significantly lower rates of hospital survival and 6-month survival after discharge than patients with nonhematologic malignancy. Therefore, extracorporeal membrane oxygenation for treating cardiac or respiratory failure should only be considered in highly selected patients with hematologic malignancy.

Diabetes, even newly defined by HbA1c testing, is associated with an increased risk of in-hospital death in adults with COVID-19

BackgroundDiabetes is associated with poor coronavirus disease 2019 (COVID-19) outcomes. However, little is known on the impact of undiagnosed diabetes in the COVID-19 population. We investigated whether diabetes, particularly undiagnosed diabetes, was associated with an increased risk of death from COVID-19.MethodsThis retrospective study identified adult patients with COVID-19 admitted to Tongji Hospital (Wuhan) from January 28 to April 4, 2020. Diabetes was determined using patients’ past history (diagnosed) or was newly defined if the hemoglobin A1c (HbA1c) level at admission was ≥6.5% (48 mmol/mol) (undiagnosed). The in-hospital mortality rate and survival probability were compared between the non-diabetes and diabetes (overall, diagnosed, and undiagnosed diabetes) groups. Risk factors of mortality were explored using Cox regression analysis.ResultsOf 373 patients, 233 were included in the final analysis, among whom 80 (34.3%) had diabetes: 44 (55.0%) reported a diabetes history, and 36 (45.0%) were newly defined as having undiagnosed diabetes by HbA1c testing at admission. Compared with the non-diabetes group, the overall diabetes group had a significantly increased mortality rate (22.5% vs. 5.9%, p < 0.001). Moreover, the overall, diagnosed, and undiagnosed diabetes groups displayed lower survival probability in the Kaplan-Meier survival analysis (all p < 0.01). Using multivariate Cox regression, diabetes, age, quick sequential organ failure assessment score, and D-dimer ≥1.0 μg/mL were identified as independent risk factors for in-hospital death in patients with COVID-19.ConclusionsThe prevalence of undiagnosed pre-existing diabetes among patients with COVID-19 is high in China. Diabetes, even newly defined by HbA1c testing at admission, is associated with increased mortality in patients with COVID-19. Screening for undiagnosed diabetes by HbA1c measurement should be considered in adult Chinese inpatients with COVID-19.

Clinical characteristics and risk factors for mortality in cancer patients with COVID-19.

Patients with cancer are at increased risk of severe infections. From a cohort including 3060 patients with confirmed COVID-19, 109 (3.4%) cancer patients were included in this study. Among them, 23 (21.1%) patients died in the hospital. Cancer patients, especially those with hematological malignancies (41.6%), urinary carcinoma (35.7%), malignancies of the digestive system (33.3%), gynecological malignancies (20%), and lung cancer (14.3%), had a much higher mortality than patients without cancer. A total of 19 (17.4%) cancer patients were infected in the hospital. The clinical characteristics of deceased cancer patients were compared with those of recovered cancer patients. Multivariate Cox regression analysis indicated that a Nutritional Risk Screening (NRS2002) score ⩾ 3 (adjusted hazard ratio (HR) 11.00; 95% confidence interval (CI) 4.60–26.32; P < 0.001), high-risk type (adjusted HR 18.81; 95% CI 4.21–83.93; P < 0.001), tumor stage IV (adjusted HR 4.26; 95% CI 2.34–7.75; P < 0.001), and recent adjuvant therapy (< 1 month) (adjusted HR 3.16; 95% CI 1.75–5.70; P < 0.01) were independent risk factors for in-hospital death after adjusting for age, comorbidities, D-dimer, and lymphocyte count. In conclusion, cancer patients showed a higher risk of COVID-19 infection with a poorer prognosis than patients without cancer. Cancer patients with high-risk tumor, NRS2002 score ⩾ 3, advanced tumor stage, and recent adjuvant therapy (< 1 month) may have high risk of mortality.Electronic Supplementary MaterialSupplementary material is available in the online version of this article at 10.1007/s11684-021-0845-6 and is accessible for authorized users.

Association Between Ionized Calcium Concentrations During Hemostatic Transfusion and Calcium Treatment With Mortality in Major Trauma.

Transfusion of citrated blood products may worsen resuscitation-induced hypocalcemia and trauma outcomes, suggesting the need for protocolized early calcium replacement in major trauma. However, the dynamics of ionized calcium during hemostatic resuscitation of severe injury are not well studied. We determined the frequency of hypocalcemia and quantified the association between the first measured ionized calcium concentration [iCa] and calcium administration early during hemostatic resuscitation and in-hospital mortality. We performed a retrospective cohort study of all admissions to our regional level 1 trauma center who (1) were ≥15 years old; (2) presented from scene of injury; (3) were admitted between October 2016 and September 2018; and (4) had a Massive Transfusion Protocol activation. They also (1) received blood products during transport or during the first 3 hours of in-hospital care (1st3h) of trauma center care and (2) had at least one [iCa] recorded in that time. Demographic, injury severity, admission shock and laboratory data, blood product use and timing, and in-hospital mortality were extracted from Trauma Registry and Transfusion Service databases and electronic medical records. Citrate load was calculated on a unit-by-unit basis and used to calculate an administered calcium/citrate molar ratio. Univariate and multivariable logistic regression analyses for the binary outcome of in-hospital death were performed. A total of 11,474 trauma patients were admitted to the emergency department over the study period, of whom 346 (3%; average age: 44 ± 18 years; 75% men) met all study criteria. In total, 288 (83.2%) had hypocalcemia at first [iCa] determination; 296 (85.6%) had hypocalcemia in the last determination in the 1st3h; and 177 (51.2%) received at least 1 calcium replacement dose during that time. Crude risk factors for in-hospital death included age, injury severity score (ISS), new ISS (NISS), Abbreviated Injury Scale (AIS) head, admission systolic blood pressure (SBP), pH, and lactate; all P < .001. Higher in-hospital mortality was significantly associated with older age, higher NISS, AIS head, and admission lactate, and lower admission SBP and pH. There was no relationship between mortality and first [iCa] or calcium dose corrected for citrate load. In our study, though most patients had hypocalcemia during the 1st3h of trauma center care, neither first [iCa] nor administered calcium dose corrected for citrate load were significantly associated with in-patient mortality. Clinically, hypocalcemia during early hemostatic resuscitation after severe injury is important, but specific treatment protocols must await better understanding of calcium physiology in acute injury.

In-hospital mortality of liver transplantation and risk factors: a single-center experience.

BackgroundLiver transplantation (LT) is a life-saving treatment for patients with end-stage liver disease and acute liver failure. However, in-hospital death cannot be avoided. We designed this study to analyze patients’ in-hospital mortality rate after LT and the factors correlated with in-hospital death.MethodsThe data of patients who received LT in our hospital between January 11, 2015, and November 19, 2019, were obtained from the China Liver Transplant Registry and medical records. The in-hospital mortality rate was calculated, and factors related to mortality, cause of death, and factors related to cause of death were analyzed by reviewing patients’ data.ResultsA total of 529 patients who underwent cadaveric LT were enrolled in this study. Modified piggyback orthotopic LT was performed for all patients. Seventy patients died in the hospital after LT, and the in-hospital mortality rate was 13.2%. Factors including model for end-stage liver disease (MELD) score, Child-Pugh grading, intraoperative blood loss, and anhepatic phase were correlated with in-hospital death. MELD score and intraoperative blood loss were determined as the two independent risk factors of in-hospital death. The first two causes of death were infection (34.3%) and primary non-function (15.7%). Pulmonary fungal infection was the main cause of infectious death. MELD score was the independent risk factor for infectious death, and both body mass index of donors and cold ischemic time were independent risk factors of primary non-function.ConclusionsIn-hospital death poses a threat to certain patients undergoing LT. Our study suggests that the main cause of in-hospital death is an infection, followed by primary non-function.

Predictors of in-hospital mortality AND death RISK STRATIFICATION among COVID-19 PATIENTS aged ≥ 80 YEARs OLD

Introduction: To date, mainly due to age-related vulnerability and to coexisting comorbidities, older patients often face a more severe COVID-19. This study aimed to identify at Emergency Department (ED) admission the predictors of in-hospital mortality and suitable scores for death risk stratification among COVID-19 patients ≥ 80 years old. Methods: Single-centre prospective study conducted in the ED of an university hospital, referral center for COVID-19 in central Italy. We included 239 consecutive patients ≥ 80 years old with laboratory-confirmed COVID-19.The primary study endpoint was all-cause in-hospital mortality. Multivariable Cox regression analysis was performed on significant variables at univariate analysis to identify independent risk factor for death. Overall performance in predicting mortality of WHO severity scale, APACHE II score, NEWS score, and CURB-65 was calculated. Results: Median age was 85 [82-89] and 112 were males (46.9%). Globally, 77 patients (32.2%) deceased. The presence of consolidations at chest x-ray and the hypoxemic respiratory failure were significant predictors of poor prognosis. Moreover, age ≥ 85 years, dependency in activities of daily living (ADL), and dementia were risk factors for death, even after adjusting for clinical covariates and disease severity. All the evaluated scores showed a fairly good predictive value in identifying patients who could experience a worse outcome. Conclusions: Among patients ≥ 80 years old hospitalized with COVID-19, not only a worse clinical and radiological presentation of the disease, but also the increasing age, dementia, and impairment in ADL were strong risk factors for in-hospital death, regardless of disease severity.

Associations of Clinical Characteristics and Etiology With Death in Hospitalized Chinese Children After Spontaneous Intracerebral Hemorrhage: A Single-Center, Retrospective Cohort Study.

Objective: We retrospectively analyzed clinical characteristics, etiology, and mortality risk factors in pediatric cases of non-traumatic spontaneous intracerebral hemorrhage.Methods: This study involved children between 29 days and 18 years old with confirmed spontaneous intracerebral hemorrhage based on head CT or MRI at the Second Affiliated Hospital of Wenzhou Medical University and Yuying Children's Hospital from January 2008 to March 2020. Demographic and clinical characteristics, etiology, imaging, and treatment data were collected at baseline. Potential risk factors of in-hospital death were identified using univariate analysis and multivariate logistic regression.Result: A total of 200 children (126 males, median age 5 years) were included in the study. Clinical symptoms of spontaneous intracerebral hemorrhage were typically non-specific (79.5%). One third of patients (31.1%) had a Glasgow Coma Scale score (GCS) ≤ 8, and nearly two-thirds (60.5%) showed a combination of ventricular hemorrhage or subarachnoid hemorrhage. Supratentorial hemorrhage was more common. Cerebrovascular disease (37.0%) and hematological disease (33.5%) were the most frequent etiologies of spontaneous intracerebral hemorrhage. Most patients (74.5%) received non-surgical treatment, while 25.5% received surgical treatment. After an average of 12 days of treatment, 167 children (83.5%) survived and 33 (16.5%) died. Multivariate logistic regression showed herniation syndrome, and low GCS (≤ 8) to be associated with increased risk of mortality, while hemorrhage due to arteriovenous malformation was associated with lower risk of mortality.Conclusion: Our data suggest that cerebrovascular disease is the most common cause of spontaneous intracerebral hemorrhage among children, and that arteriovenous malformation is associated with lower risk of death in hospital. Conversely, the presence of herniation syndrome, low GCS (≤ 8) increase risk of in-hospital mortality. Our results underscore the importance of timely imaging and supplementary examinations in cases of suspected spontaneous intracerebral hemorrhage.