Predictor Of Death In Patients Research Articles

Clinical characteristics and prognosis of pulmonary renal syndrome in West China

Pulmonary renal syndrome (PRS) is a rare and life-threatening syndrome. Interstitial lung disease (ILD) has been recently considered another phenotype of lung dysfunction in patients with PRS, but there are very limited data. The characteristics of fifty PRS patients were retrospectively reviewed after a 3-year follow-up, and the differences between PRS patients whose lung dysfunction presented as diffuse alveolar hemorrhage (DAH group) and those with interstitial lung disease (ILD group) were also analyzed. The median age at diagnosis of PRS patients was 50.78 ± 17.88 years, and the main symptoms at disease onset were proteinuria (94.00%), hemoptysis (68.00%), dyspnea (32.00%) and fever (12.00%). DAH patients were younger and had significantly lower hemoglobin levels, a higher incidence of hemoptysis, and higher serum creatinine levels at onset than ILD patients. Univariate analyses of PRS patients showed that respiratory failure and the initiation of mechanical ventilation predicted patient death and that the initiation of hemodialysis and higher serum creatinine levels at onset predicted ESRD. Multivariate analyses showed that respiratory failure and anti-GBM antibody positivity could independently predict patient death. Survival analyses showed that 1- and 3-year patient survival rates and ESRD-free survival rate were not significantly different between the two groups. ILD was another important phenotype of lung dysfunction in patients with PRS. Poor outcomes were observed in PRS patients with ILD and in PRS patients with DAH.

Neutrophil/Lymphocyte Ratio (NLR) and Lym-phocyte/CRP ratio (LCR) are Reliable Pre-dictors of Adverse Out-comes in High-Altitude COVID-19 Patients

The neutrophil/lymphocyte ratio (NLR) and the lymphocyte/C-reactive protein ratio (LCR) are prognostic factors in inflammatory, cardiovascular, and oncological diseases. With the emergence of the COVID-19 pandemic, it has been recently shown that NLR and LCR are also useful for the prognosis of disease severity in patients infected with the SARS-CoV-2 virus at sea level. However, there are no studies demonstrating the reliability of NLR and LCR in high-altitude human populations (above 2,500 m). This is relevant because both the incidence and mortality from COVID-19 are decreased in high altitude. A possible explanation of this effect is a lower impact of this virus on the exaggerated inflammatory response induced by the viral infection. The aim of this study is to determine whether the NLR and LCR indices can be used as reliable predictive markers of COVID-19 severity in high-altitude permanent resident patients. Routine blood biochemistry and complete blood count were performed on 368 patients positive for the SARS-CoV-2 virus in Huaraz, Peru (3,050 m). Patients’ follow up was carried out until home discharge or fatal outcome. The results show that: 1) NLR values are higher in deceased patients admitted to the intensive care unit due to COVID-19; 2) NLR and LCR are reliable predictors of death in patients with COVID-19; and 3) NLR and LCR are reliable predictors of intensive care unit requirement in COVID-19 patients. We conclude that NLR and LCR are reliable biomarkers and prognostic factors of COVID-19 severity and can be used in high-altitude permanent resident patients.

Predictors of mortality in critically ill patients with COVID-19 and diabetes.

The COVID-19 pandemic has challenged the entire world, and patients with diabetes mellitus (DM) have been particularly affected. We aimed to evaluate predictors of mortality during the first 30 days of hospitalization in critically ill patients with COVID-19 and comorbid DM. This prospective study included 110 critically ill patients admitted with COVID-19 infection. Thirty-two (29%) patients had a previous diagnosis of DM. Clinical variables, laboratory tests, and vascular biomarkers, such as VCAM-1, syndecan-1, ICAM-1, angiopoietin-1, and angiopoeitin-2, were evaluated after intensive care unit (ICU) admission. A comparison was made between patients with and without DM. No difference in mortality was observed between the groups (48.7 vs 46.9%, P=0.861). In the multivariate Cox regression analysis, VCAM-1 levels at ICU admission (HR: 1 [1-1.001], P<0.006) were associated with death in patients with DM. Among patients with DM, advanced age (HR 1.063 [1.031-1.096], P<0.001), increased Ang-2/Ang-1 ratio (HR: 4.515 [1.803-11.308] P=0.001), and need for dialysis (HR: 3.489 [1.409-8.642], P=0.007) were independent predictors of death. Higher levels of VCAM-1 in patients with DM was better at predicting death of patients with severe COVID-19 and comorbid DM, and their cut-off values were useful for stratifying patients with a worse prognosis. Vascular biomarkers VCAM-1 and Ang-2/Ang-1 ratio were predictors of death in patients with severe COVID-19 and comorbid DM and those without DM. Additionally, kidney injury was associated with an increased risk of death.

Relationship of Viral Load with the Laboratory Markers and Prognosis in COVID-19 Patients.

Coronavirus disease 2019 (COVID-19) viral load determined from the cycle threshold (CT) values may be a marker of disease severity and predict disease progression. Our study aimed to investigate the relationship between SARS-CoV-19 cycle thresholds or viral load, laboratory markers, and patient prognosis. Patients who were admitted to Imam Reza Hospital at Mashhad University of Medical Sciences between March 2020 and March 2021 and had COVID-19 polymerase chain reaction (PCR)-confirmed at random were included in this cross-sectional study. Patients were randomly selected from those who tested positive on nasopharyngeal and oropharyngeal reverse transcription-PCR samples. The inclusion criteria were all patients older than 16 years with positive COVID-19 PCR results. Samples with Ct values of ≤36 were considered positive for SARS-CoV-2 RNA. Patients who did not have laboratory markers were excluded. We used SPSS Version 16 (Pearson correlation, analysis of variance, and logistic regression tests) to analyze the data. A P ≤ 0.05 was considered statistically significant. In our study, serum lactate dehydrogenase and aspartate aminotransferase were found to be laboratory biomarkers inversely correlated with COVID-19 Ct values, indicating higher viral load (r = -0.14; P = 0.024 and r = -0.12; P = 0.053, respectively). Also, the platelet count is lower in patients with higher viral loads (r = 0.18; P < 0.001). However, we found no correlation between the viral load and some laboratory biomarkers such as ferritin, white blood cell and lymphocyte count, alanine transaminase, and c-reactive protein (P > 0.05). The patient's length of hospital stay was not correlated with their viral load (P > 0.05). The COVID-19 viral load has been linked to some laboratory indicators and may be used to predict patient death. These discoveries might help in the treatment of COVID-19 disease.

Prognostic Value of Admission Peak NT-proBNP Combined with Culprit Plaque Types for Predicting Cardiovascular Risk in ST-Segment Elevated Myocardial Infarction: An Optical Coherence Tomography Study.

Different culprit plaque phenotypes including plaque rupture (PR) and non-plaque rupture (NPR), and N-Terminal prohormone of brain natriuretic peptide (NT-proBNP) have been reported to influence clinical outcomes in patients with acute coronary syndrome (ACS). We aimed to investigate the prognostic implication of the peak and baseline values at admission for NT-proBNP for major adverse cardiovascular events (MACE) in ST-Segment Elevated Myocardial Infarction (STEMI) patients with different plaque phenotype. A total of 428 patients with STEMI undergoing optical coherence tomography (OCT) were enrolled and divided into four groups: PR/Tertile1-2 NT-proBNP (n = 132), PR/Tertile3 NT-proBNP (n = 65), NPR/Tertile1-2 NT-proBNP (n = 154), NPR/Tertlie3 NT-proBNP (n = 77). Baseline and Peak values of NT-proBNP were obtained in the admission period. The MACEs were defined as the composite of all-cause death, recurrence of myocardial infarction and stroke. High levels for peak NT-proBNP were significantly associated with a higher incidence of MACE and death (Log rank p = 0.037 and 0.0012, respectively). In the subgroup with NPR, a high level for peak NT-proBNP was significantly associated with higher incidence of death (Log rank p = 0.0022) but this association was not significant in the subgroup of PR (Log rank p = 0.24). Though plaque types were not associated with adverse event, the combination of NPR and a higher peak value for NT-proBNP indicated higher incidence of death compared with other groups (Log rank p = 0.0017). The area under the receiver operating characteristic curve for predicting death to evaluate the diagnostic value of the peak value for NT-proBNP and plaque types combined with traditional risk factors was 0.843 (95% CI: 0.805-0.876), which is superior to solely traditional risk factors: NRI (26.8% [95% CI: 0.4-53.1%], p = 0.046) and IDI (5.1% [95% CI: 1.0-9.2%], p = 0.016). STEMI patients with NPR and a high level for peak NT-proBNP showed higher incidence of death. The peak value of NT-proBNP in combination with plaque types can be used in risk stratification and prediction of death in patients with STEMI.

The correlation between triiodothyronine and the severity of liver fibrosis

BackgroundThe severity of liver fibrosis is an important predictor of death in patients with non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM). However, there is still no definite conclusion on the relationship between triiodothyronine (T3) and the severity of liver fibrosis. Thus, the aim of this study was to analyze the correlation between T3 level and the severity of liver fibrosis.MethodsWe performed a cross-sectional study of 2072 T2DM patients with normal thyroid function from January 2017 to January 2020. NAFLD fibrosis score (NFS), Fibrosis index based on the 4 factors (FIB-4) and BARD score (BARD) were used to assess the severity of fibrosis in T2DM patients, and linear regression analyses were used to determine the factors independently associated with liver fibrosis. Further experiments were performed to assess the impact of low T3 on fibrosis progression in mice model and explore possible mechanisms.ResultsFree triiodothyronine (fT3) levels had significantly inverse correlations with NFS and FIB-4, and BARD in T2DM patients (P < 0.05). In multiple linear regression analyses, decreased fT3 level was an independent risk factor for the severity of liver fibrosis of T2DM patients (P < 0.01). Findings from in-vivo experiment using mice model proved that hypothyroidism mice had more severe of liver fibrosis than those mice with normal thyroid function. We also found that T3 could inhibit the profibrotic TREM2+CD9+ macrophage, which had been identified an important player in the progression of liver fibrosis.ConclusionThe findings from this study proved an inverse correlation between T3 level and the severity of liver fibrosis, and lower fT3 level within the normal range was an independent risk factor for severe liver fibrosis.

Predictors of Death in Patients with Neonatal Sepsis in a Peruvian Hospital.

Reducing neonatal mortality is a global challenge. This study's objective was to determine the predictors of mortality in patients with neonatal sepsis. The study was a retrospective cohort study in a Peruvian hospital from January 2014 to April 2022. Neonates diagnosed with sepsis were included. To find predictors of mortality, we used Cox proportional regression models. We evaluated 288 neonates with sepsis; the median birth weight and hospitalization time were 3270 g and seven days, respectively. During follow-up, 18.4% did not survive, and the most common complications were jaundice (35.42%), respiratory distress syndrome (29.51%), and septic shock (12.5%). The most isolated bacteria were Klebsiella pneumoniae. The risk factors associated with higher mortality were prematurity (aHR = 13.92; 95% CI: 1.71-113.51), platelets &lt;150,000 (aHR = 3.64; 1.22-10.88), creatinine greater than 1.10 (aHR = 3.03; 1.09-8.45), septic shock (aHR = 4.41; 2.23-8.74), and admission to IMV (aHR = 5.61; 1.86-16.88), On the other hand, breastfeeding was associated with a lower risk of death (aHR = 0.25; 0.13-0.48). In conclusion, we report a high incidence of death and identify clinical (prematurity, septic shock, admission to IMV) and laboratory characteristics (elevated creatinine and thrombocytopenia) associated with higher mortality in patients with neonatal sepsis. Breastfeeding was a factor associated with survival in these patients.

Machine-learning score using stress CMR for death prediction in patients with suspected or known CAD

Abstract Background In patients with suspected or known coronary artery disease (CAD), traditional prognostic risk assessment is based upon a limited selection of clinical and imaging findings. Machine learning (ML) methods can take into account a greater number and complexity of variables. Purpose To investigate the feasibility and accuracy of ML using stress CMR and clinical data to predict 10-year all-cause mortality in patients with suspected or known CAD, and compared its performance to existing clinical or CMR scores. Methods Between 2008 and 2018, a retrospective cohort study with a median follow-up of 6.0 years (interquartile range: 5.0–8.0) included all consecutive patients referred for stress CMR. Twenty-three clinical and 11 stress CMR parameters were evaluated. Machine learning involved automated feature selection by random survival forest, model building with a multiple fractional polynomial algorithm, and 5 repetitions of 10-fold stratified cross-validation. The primary outcome was all-cause death based on the electronic National Death Registry. The external validation cohort of the ML score was performed in another center. Results Of 31,752 consecutive patients (mean age 63.7±12.1 years and 65.7% males), 2,679 (8.4%) died with 206,453 patient-years of follow-up. ML score (ranging 0 to 10 points) exhibited a higher area-under-the-curve compared with C-CMR-10-score, ESC-score, QRISK3-score, FRS and stress CMR data alone for prediction of 10-year all-cause mortality (ML: 0.76 vs. C-CMR-10-score: 0.68, ESC-score: 0.66, QRISK3-score: 0.64, FRS: 0.63, extent of inducible ischemia: 0.66, extent of LGE: 0.65, all p&amp;lt;0.001). The ML score exhibited also a good area-under-the-curve in the external cohort (AUC: 0.75). Conclusions The ML score including clinical and stress CMR data exhibited a higher prognostic value to predict 10-year death compared with all traditional clinical or CMR scores. Funding Acknowledgement Type of funding sources: None.

Levosimendan Hemodynamic Effects Depending on the Outcome of Sepsis

The objective: to study hemodynamic and clinical effects of levosimendan depending on the clinical outcome in patients with sepsis and impaired cardiac pumping function.Subjects and Methods. the retrospective study involved 31 patients of 52.7 ± 2.8 years old with sepsis or septic shock which were treated with levosimendan at the dose of 0.16 [0.15‒0.17] mg/kg (0.11 [0.1‒0.12] μg × kg-1 × min-1) on days 1–4 of ICU stay. The patients were divided into the following groups: Group 1 ‒ survivors (n = 19) and Group 2 – non-survivors (n = 12). Central hemodynamics was assessed through transpulmonary thermodilution. The differences were considered statistically significant at p &lt; 0.05.Results. Most of the hemodynamic parameters and vasopressors and inotropes doses had no differences between the groups before levosimendan administration. There were no differences in the cardiac index (3.8 ± 0.3 vs 3.5 ± 0.3 L/min/m2; p = 0.479) between the groups following levosimendan administration, however, Group 1 demonstrated the following parameters to be lower versus Group 2: central venous pressure (7 ± 0.7 vs 11 ± 1 mm Hg; p = 0.005), blood lactate (1 [0.9‒1.8] vs 2.4 [2.2‒3.3] mmol/L; p = 0.04), norepinephrine dosages (0.2 [0.15‒0.35] and 0.5 [0.4‒0.6] ng/kg/min; p = 0.023 ), global end-diastolic volume index (693 [688‒28] vs 870 [779‒961] mL/m2; p =0,0009) and the level of NT-proBNP (1,590 [1,080‒3,160] vs 35,000 [21,400‒35,000] pg/mL; p = 0,0001). Global heart ejection fraction (23 [21‒27] vs 15 [12‒20]%; p = 0.015) and heart function index (6 [5‒8] vs 3 [ 3-4] min-1; p = 0.003) ) were higher in Group 1 versus Group 2. APACHE II &gt;19 (AUC 0.906; p &lt; 0.0001), SOFA &gt; 9 (AUC 0.805; p = 0.0002); heart rate &gt; 114 min-1 (AUC 0.755; p = 0.0095), and index of total peripheral vascular resistance &lt; 1,700 dyn × s × cm-5 × m2 (AUC 0.806; p = 0.001) before levosimendan administration were the independent predictors of death in patients treated with levosimendan.Conclusion: non-survivors patients with sepsis had significantly higher APACHE II and SOFA scores, higher heart rate and lower index of total peripheral vascular resistance before levosimendan infusion. In survivors levosimendan infusion at a standard dose led to a significant improvement in the heart pumping function accompanying by global heart ejection fraction and heart function index increasing and NT-proBNP decreasing. In non-survivors such favorable central hemodynamics changes did not occur, although the cardiac index increased after inodilator administration. Further studies of levosimendan efficacy in patients with sepsis of varying severity are advisable. It is necessary to specify the indications and contraindications for levosimendan administration to patients with sepsis.

Рrognostic value of proadrenomedullin in patients with COVID-19

Introduction. In the context of a pandemic, it is necessary to quickly and accurately stratify patients into groups based on the severity of their condition and prognostic risk. For these purposes, some available biomarkers, such as proadrenomedullin, can be used. Objective. To determine the prognostic value of regional mean proadrenomedullin (pro-ADM) in comparison with routine clinical and laboratory parameters in patients with a new coronavirus infection COVID-19. Materials and methods. The study included 140 patients who were hospitalized with a diagnosis of community-acquired pneumonia on the background of COVID-19. The level of pro-ADM was determined on the first and third days of hospitalization by ELISA. In accordance with the outcome of the disease, patients were divided into two groups: those discharged with recovery or improvement (n = 110, 78, 6%) and those who died during their stay in the hospital (n = 30, 21, 4%). Results. Pro-ADM had the highest prognostic value as a predictor of adverse outcome on day 1 AUC ROC 0.72 95% CI (0.57–0.84) sensitivity 79.2%, specificity 62.9% and on day 3 AUC ROC 0.98 95% CI (0.86–1.0) sensitivity 100%, specificity 95.6%. ROC analysis results for C-reactive protein AUC ROC 0.55 95% CI (0.41–0.77), sensitivity 73.3%, specificity 45.6%; procalcitonin AUC ROC 0.62 95% CI (0.49–0.73), sensitivity 80%, specificity 48.2%. The relative risk of a poor outcome for a proADM level &gt; 500 pmol/L is 2.3 95% CI (1.23–4.32), and for a proADM level &gt; 700 it is 8.5 95% CI (4.83–14.94) p &lt; 0.001. Conclusions. Compared to C-reactive protein and procalcitonin, regional mean proadrenomedullin has the highest predictive value as a predictor of death in patients with COVID-19.

Machine-Learning Score Using Stress CMR for Death Prediction in Patients With Suspected or Known CAD

BackgroundIn patients with suspected or known coronary artery disease, traditional prognostic risk assessment is based on a limited selection of clinical and imaging findings. Machine learning (ML) methods can take into account a greater number and complexity of variables. ObjectivesThis study sought to investigate the feasibility and accuracy of ML using stress cardiac magnetic resonance (CMR) and clinical data to predict 10-year all-cause mortality in patients with suspected or known coronary artery disease, and compared its performance with existing clinical or CMR scores. MethodsBetween 2008 and 2018, a retrospective cohort study with a median follow-up of 6.0 (IQR: 5.0-8.0) years included all consecutive patients referred for stress CMR. Twenty-three clinical and 11 stress CMR parameters were evaluated. ML involved automated feature selection by random survival forest, model building with a multiple fractional polynomial algorithm, and 5 repetitions of 10-fold stratified cross-validation. The primary outcome was all-cause death based on the electronic National Death Registry. The external validation cohort of the ML score was performed in another center. ResultsOf 31,752 consecutive patients (mean age: 63.7 ± 12.1 years, and 65.7% male), 2,679 (8.4%) died with 206,453 patient-years of follow-up. The ML score (ranging from 0 to 10 points) exhibited a higher area under the curve compared with Clinical and Stress Cardiac Magnetic Resonance score, European Systematic Coronary Risk Estimation score, QRISK3 score, Framingham Risk Score, and stress CMR data alone for prediction of 10-year all-cause mortality (ML score: 0.76 vs Clinical and Stress Cardiac Magnetic Resonance score: 0.68, European Systematic Coronary Risk Estimation score: 0.66, QRISK3 score: 0.64, Framingham Risk Score: 0.63, extent of inducible ischemia: 0.66, extent of late gadolinium enhancement: 0.65; all P < 0.001). The ML score also exhibited a good area under the curve in the external cohort (0.75). ConclusionsThe ML score including clinical and stress CMR data exhibited a higher prognostic value to predict 10-year death compared with all traditional clinical or CMR scores.

Clinical Features of Aortic Dissection in the Emergency Department: A Single-center Experience from South China.

ObjectivesOur goal in this study was to determine 1) whether there are any differences in clinical characteristics between Chinese and Western patients with aortic dissection (AD), and 2) the mortality rate of AD patients in the emergency department (ED) and identify the risk predictors for death.MethodsWe retrospectively analyzed patients who were diagnosed with AD and admitted to our ED between September 1, 2017–August 31, 2020. Data on age, gender, clinical manifestation, medical history, routine blood tests, liver and kidney function, coagulation, myocardial enzymology, and mortality were collected.ResultsWe enrolled 535 AD patients (422 men and 113 women) with a mean age of 54.7±14.1 years. Type A AD constituted 40% of the total number of AD cases, while type B AD constituted 60%. The proportion of those who were females, 10–92 years, with type A AD, and hypertension in the Chinese population was lower than that in the Western population (P <0.05 for all). Type A AD patients had a higher proportion of acute AD clinical manifestations than did patients with type B AD (P = 0.0084, P <0.05). The mortality rate of type A AD patients (10.75%) was higher than that of type B AD patients (1.87%) (P <0.0001) in the ED. Higher values of white blood cells, neutrophils, high-density lipoprotein, activated partial thromboplastin time, and D-dimer level with worsened hepatic and renal function were found in the deceased group, and multivariate logistic regression revealed that blood urea nitrogen (BUN) levels (P = 0.0031, P <0.05) were significantly associated with death.ConclusionIn South China, patients with AD had a mean age of 54.7 years, with 78.88% prevalence in males and 66.92% hypertension rate. Type A AD accounted for 40% of all AD cases, and 10.70% of patients with type A AD died in the ED. Elevated BUN levels may be a risk predictor for death in patients with type A AD.

IDENTIFICATION OF RISK FACTORS PREDICTING MORTALITY IN PATIENTS WITH ARDS RELATED TO SEVERE COVID-19

TYPE: Late Breaking Abstract TOPIC: Chest Infections PURPOSE: Acute respiratory distress syndrome (ARDS) is one of the common clinical manifestations of severe COVID19 and it is also responsible for the high ventilators demand in worldwide.The aim of our study was to assess the risk factors predicting mortality in patients with ARDS developing as complication of severe COVID19 and use appropriate treatment approaches for improving clinical outcomes in such patients. METHODS: Our study was retrospective and we collected clinical data of 289 patients with severe COVID19 complicated with ARDS from five COVID19 hospitals ,from 01 August 2021 to 30 December 2021.The clinical characteristics of the survivors ARDS group(168[58.1%])and non-survivors ARDS group(121[41.9%]) of COVID19 patients were clinically,laboratory ,and radiographically compared. RESULTS: Median age of non-survivors with ARDS was older than those with survivors with ARDS(p<0.001),male and BMI >30 were more likely to die.The incidence of consolidation/ground glass opacities ratio (C/GGO) >1 in lung parenchyma,secondary bacterial infection,mechanical ventilation and lack of use dexamethasone before intubation were common findings among non-survivors with ARDS(p<0.002;<0.01;<0.001;and <0.003 ).High SOFA score and low Pa O2/FiO2(P/F) ratio were associated with higher mortality rate among non-survivors with ARDS . Predictors of death in patients with ARDS were:D-dimer (p<0.0004),creatinine(p<0.009),lymphocytes <0.6x109/L(p<0.001),procalcitonin(p<0.008),and BNP(p<0.0003).Among non-survivors with ARDS high PaCO2 and low arterial blood pH were common findings compared to those survive to the end of investigation(p<0.001). CONCLUSIONS: We identified predictors of mortality in patients with ARDS related to severe COVID19.Our findings may be helpful for healthcare providers take appropriate measures and impact to clinical outcomes in patients with severe COVID19 complicated with ARDS. CLINICAL IMPLICATIONS: critical care ohysicians ,nurses,pulmonologists,respiratory therapist DISCLOSURE: No significant relationships. KEYWORD: Severe COVID19.ARDS,RIsk Factors,Predicting ,Mortality

Identification and Validation of a Novel Nomogram Predicting 7-day Death in Patients with Intracerebral Hemorrhage

Background:Intracerebral hemorrhage (ICH) is a serious brain condition with high mortality and disability rates. In recent decades, several risk factors related to death risk have been identified, with several models predicting mortality, but rarely used and accepted in daily clinical practice.Aims:To establish and validate a predictive nomogram of spontaneous ICH death that can be used to predict patient death within 7 days.Study Design:Cohort study.Methods:A cohort of 449 patients with ICH, diagnosed clinically from January 2015 to December 2017, were identified as the model training cohort. Univariate analysis and least absolute contraction and selection operator (Lasso) regression were used to determine the most powerful predictors of patients with ICH. Discrimination, calibration, and clinical applicability were used to assess the function of the new nomogram. In external validation, we also evaluated the nomogram in another 148 subjects (validation cohort) examined between January and December 2018.Results:We observed no significant differences in patient baseline characteristics in the training and validation cohorts, including sex, age, Glasgow coma scale (GCS) score, and one-week mortality rates. The model included three predictive variables from univariate and multivariate analysis, including GCS scores, hematoma volume, and brainstem hemorrhage (BSH). Internal validation revealed that the nomogram had a good discrimination, the area under the receiver operating characteristic curve (AUC) was 0.935, and calibration was good (U = -0.004, P = 0.801). Similarly, this nomogram also showed good differentiation ability (AUC = 0.925) and good accuracy (U = -0.007, P = 0.241) in the validation cohort data. Decision curve analysis indicated that the new prediction model was helpful.Conclusion:At the early stages of the condition, our prediction model accurately predicts the death of patients with ICH.

Increased risk of mortality in systemic sclerosis-associated pulmonary hypertension: a systemic review and meta-analysis

BackgroundPulmonary hypertension (PH) is a frequent complication of systemic sclerosis (SSc) and is currently one of the primary causes of death in patients with this disease. We conducted a systematic review and meta-analysis to assess the association between PH and mortality in patients with SSc to verify trends in mortality in patients with SSc-associated PH.MethodsWe searched the PubMed and Embase databases for published studies on SSc-associated PH from inception to May 2021. All cohort studies in which mortality and/or survival for SSc-associated PH were reported were included in the analysis. The outcome parameters were pooled and analyzed using a random-effects model via generic inverse-variance weighting in conventional and cumulative meta-analysis.ResultsThe literature search identified 1161 citations, and the full texts of 54 studies were examined. Sixteen articles, with a total of 7857 patients with SSc and 1140 patients with SSc-associated PH, were included in the meta-analysis. Patients with SSc-associated PH had a higher pooled risk of mortality than patients with SSc without PH (risk ratio = 3.12; 95% confidence interval: [2.44, 3.98]).ConclusionsThis meta-analysis revealed a higher mortality in patients with SSc-associated PH. PH was a significant predictor of death in patients with SSc. Thus, early diagnosis and treatment of PH are important in patients with SSc.

Behavior of clinical and humoral variables on admission as predictors of death in patients with community-acquired pneumonia. Comparative study between adults and older adults.

Community-acquired pneumonia is recognized as one of the main infectious health problems worldwide. The objective was to determine the condition of predictors of death for a group of selected clinical conditions, and for laboratory variables frequently used in practice. Study with descriptive design, which included 967 patients with pneumonia hospitalized between 2016 and 2019, and whose information was obtained from clinical records. Statistical treatment included bivariate and multivariate analysis (logistic regression); it was used the ratio of crossed products (odds ratio) and its 95% confidence interval. Several manifestations were significantly more frequent in older adults: dyspnea (OR 1.5[1.07,2.1]), absence of productive cough (OR 1.7 [1.3, 2.4]), neuropsychological manifestations (OR 2 [1.4,2.8]), tachypnea (OR 1.5 [1.1,2.1]), arterial hypotension (OR 2.1 [1.2,3.6]) , anemia (OR 1.6[1.2,2.2]), elevated creatinine (OR 1.6[1.2,2.3]) and hypoproteinemia (OR 3.3[1.9,5.7]); showed a significant association with death: absence of productive cough, neuropsychological manifestations, temperature below 36 degrees Celsius, blood pressure below 110/70 mmHg, respiratory rate above 20 per minute, hemoglobin below 100 g/L, erythrosedimentation greater than 20 mm/L, leukopenia less than 5 x 109/L and serum creatinine above 130 micromol/L. As conclusions certain clinical and laboratory conditions present in the patient at the time of hospital admission, of routine exploration in the comprehensive assessment of the patient, were predictors of death. Additionally, the existence of evident differences in the number of conditions with a predictive nature of death between the population with pneumonia under 60 years of age and the elderly, as well as in the frequency of these conditions in both subgroups, is verified.

Management and prognosis of HIV-associated pulmonary arterial hypertension: 20 Years of evidence from the REHAP registry.

Pulmonary arterial hypertension (PAH) is an independent predictor of death in patients with human immunodeficiency virus (HIV) infection. HIV is the leading cause of PAH (HIV-PAH) worldwide. We described the characteristics, treatment patterns, and prognosis of a cohort of HIV-PAH patients and compared them with those of an equivalent cohort of patients with idiopathic/familial PAH (IPAH/FPAH). We retrospectively analysed and compared the demographic, clinical, and treatment data from patients with HIV-PAH and those with IPAH/FPAH in the Spanish PAH registry (REHAP) from 1998 to 2018. The HIV-PAH overall survival (OS) rate up to 5 years was compared to the age- and sex-matched IPAH/FPAH population. Changes in treatment patterns in patients with HIV-PAH after 2010 and their effects on OS were also analysed. Compared to those with IPAH/FPAH (n = 739), patients with HIV-PAH (n = 132) were younger, mainly men, and had a better functional status. The clinical presentation, haemodynamics, and respiratory function were similar between the groups. Parenteral drug use was the most common mode of HIV transmission. Approximately 11% of patients with HIV-PAH did not receive PAH-targeted therapy. The age- and sex-adjusted 5-year OS rate from diagnosis was 74.0% for patients with HIV-PAH and 68.7% for those with IPAH (p < 0.159). During/after 2010, 23% of patients with IPAH/FPAH received upfront dual oral combination, while oral monotherapy remained the main first-line treatment in patients with HIV-PAH. The overall OS rate remained stable. Patients with HIV-PAH were predominantly young men. The short-term prognosis is similar to that of age- and sex-matched patients with IPAH/FPAH, despite a better functional status. Oral monotherapy remains the preferred first-line treatment in the current cohorts.

Risk Factors for Mortality in Anti-NMDAR, Anti-LGI1, and Anti-GABABR Encephalitis.

ObjectiveWe aimed to investigate the mortality rate and identify the predictors of death in patients with anti-NMDAR, anti-LGI1, and anti-GABABR encephalitis.MethodsPatients with anti-NMDAR, anti-LGI1, and anti-GABABR encephalitis were recruited from the Neurology Department of the First Hospital of Jilin University from March 2015 to November 2021. The primary outcome variable was a binary variable of death vs. survival. The potential risk factors for mortality were evaluated. The mortality rates were determined, and the independent predictors of death were identified using multivariable logistic regression analysis.ResultsA total of 100 hospitalized patients with anti-NMDAR, anti-LGI1, or anti-GABABR encephalitis were included in the final analysis. Fifteen patients (15%) died during a median follow-up period of 18 months. The mortality rates were 10% for anti-NMDAR encephalitis, 2.8% for anti-LGI1 encephalitis, and 41.7% for anti-GABABR encephalitis. The multivariable analysis results showed that older age at onset [adjusted odds ratio (OR) = 1.017, 95% confidence interval (CI) = 1.009–1.136; p = 0.023] was independently associated with an increased risk of death. Antibody type was also associated with mortality. Patients with anti-GABABR encephalitis had 13.458-fold greater odds of dying than patients with anti-LGI1 encephalitis (adjusted OR = 13.458, 95% CI = 1.270–142.631; p = 0.031).ConclusionThe general mortality rate of anti-NMDAR, anti-LGI1, and anti-GABABR encephalitis was 15%. Age at onset and type of autoimmune encephalitis antibody were independent predictors of death in these patients.

Value of CRP, PCT, and NLR in Prediction of Severity and Prognosis of Patients With Bloodstream Infections and Sepsis

ObjectiveTo investigate the value of C-reactive protein (CRP), procalcitonin (PCT), and neutrophil to lymphocyte ratio (NLR) in assessing the severity of disease in patients with bloodstream infection and sepsis, and to analyze the relationship between the levels of three inflammatory factors and the prognosis of patients.MethodsThe clinical data of 146 patients with bloodstream infection and sepsis admitted to our intensive care unit (ICU) from October 2016 to May 2020 were retrospectively analyzed. The differences in the levels of inflammatory indicators such as CRP, PCT, and NLR within 24 h in patients with bloodstream infection sepsis with different conditions (critical group, non-critical group) and the correlation between these factors and the condition (acute physiology and chronic health evaluation II, APACHE II score) were analyzed. In addition, the prognosis of all patients within 28 days was counted, and the patients were divided into death and survival groups according to their mortality, and the risk factors affecting their death were analyzed by logistic regression, and the receiver operating characteristic (ROC) curve was used to analyze the value of the relevant indicators in assessing the prognosis of patients.ResultsThe levels of NLR, CRP, PCT, total bilirubin (TBIL), glutamic oxaloacetic transaminase (AST), and serum creatinine (Scr) were significantly higher in the critically ill group than in the non-critically ill group, where correlation analysis revealed a positive correlation between CRP, PCT, and NLR and APACHE II scores (P < 0.05). Univariate logistic regression analysis revealed that CRP, PCT, NLR, and APACHE II scores were associated with patient prognosis (P < 0.05). Multi-factor logistic regression analysis found that PCT, NLR, and APACHE II scores were independent risk factors for patient mortality within 28 days (P < 0.05). ROC curve analysis found that PCT and NLR both had an AUC area > 0.7 in predicting patient death within 28 days (P < 0.05).ConclusionInflammatory factors such as NLR, CRP, and PCT have important clinical applications in the assessment of the extent of disease and prognosis of patients with bloodstream infection and sepsis.

Improving the EHMRG Prognostic Evaluation of Acute Heart Failure with TAPSE/PASp: A Sequential Approach.

The Emergency Heart Failure Mortality Risk Grade (EHMRG) can predict short-term mortality in patients admitted for acute heart failure (AHF) in the emergency department (ED). This paper aimed to evaluate if TAPSE/PASp, an echocardiographic marker of ventricular desynchronization, can improve in-hospital death prediction in patients at moderate-to-high risk, according to EHMRG score classification. From 1 January 2018 to 30 December 2019, we retrospectively enrolled all the consecutive subjects admitted to our Internal Medicine Department for AHF from the ED. We performed bedside echocardiography within the first 24 h of admission. We evaluated EHMRG and NYHA in the ED, days of admission in Internal Medicine, and in-hospital mortality. We assessed cutoffs with ROC curve analysis and survival with Kaplan–Meier and Cox regression. We obtained a cohort of 439 subjects; 10.3% underwent in-hospital death. Patients with normal TAPSE/PASp in EHMRG Classes 4, 5a, and 5b had higher survival rates (100%, 100%, and 94.3%, respectively), while subjects with pathologic TAPSE/PASp had lower survival rates (81.8%, 78.3%, and 43.4%, respectively) (p < 0.0001, log-rank test). TAPSE/PASp, an echocardiographic marker of ventricular desynchronization, can further stratify the risk of in-hospital death evaluated by EHMRG.