Predictive Score for In-Hospital Mortality of Myasthenic Crisis: A Retrospective Chinese Cohort Study

2019 ◽  
Vol 81 (5-6) ◽  
pp. 287-293
Author(s):  
Zhiguo Lv ◽  
Huahua Zhong ◽  
Xiao Huan ◽  
Jie Song ◽  
Chong Yan ◽  
...  
Keyword(s):  
Septic Shock ◽  
Cardiac Arrest ◽  
Hospital Mortality ◽  
Myasthenia Gravis ◽  
Scoring System ◽  
Laboratory Data ◽  
Case Series ◽  
Predictive Score ◽  
Hospital Death ◽  
Myasthenic Crisis

Introduction: Myasthenic crisis (MC) is a life-threatening condition usually occurred in patients with myasthenia gravis (MG). Objective: On the basis of a retrospective case series review, we try to develop a scoring system to evaluate the probability for in-hospital death in MC patients. Methods: We retrospectively reviewed 78 MC patients who were hospitalized from January 2014 to December 2018. Clinical and laboratory data including 17 variables were analyzed univariately. The main clinical outcome was defined as the in-hospital death. Then eligible variables were evaluated by a stepwise multivariate regression and a scoring system was then generated. Calibration and discrimination methods were used to evaluate and validate the model performance. Results: The overall in-hospital mortality was 11.5% (9/78) in the MC cohort. Five clinical variables including Myasthenia Gravis Foundation of America (MGFA) classification at onset, septic shock, thymoma classification, cardiac arrest, and the lowest serum albumin were found to be associated with in-hospital mortality. Further 3 variables entered the final regression, and internal validation showed that the area under the curve was 0.919 (95% CI 0.788–1.000). A scoring system with a full credit of 7 points was generated to predict the in-hospital mortality (MGFA at onset, 2 points; septic shock, 4 points; and cardiac arrest, 3 points). Conclusions: A 7-point scoring model was established on the basis of a retrospective review of MC patients to predict the in-hospital mortality.

scholarly journals Myasthenia Gravis Exacerbation and Myasthenic Crisis Associated With COVID19: Case Series and Literature Review.

2021 ◽  
Author(s):  
Cleonisio Leite Rodrigues ◽  
Hermany Capistrano Freitas ◽  
Paulo Reges Oliveira Lima ◽  
Pedro Helder de Oliveira Junior ◽  
José Marcelino Aragão Fernandes ◽  
...  
Keyword(s):  
Literature Review ◽  
Neuromuscular Junction ◽  
Hospital Mortality ◽  
Myasthenia Gravis ◽  
Viral Infections ◽  
Case Series ◽  
Previous Treatment ◽  
Autoimmune Disorder ◽  
Myasthenic Crisis

Abstract Myasthenia Gravis (MG) is an autoimmune disorder of the neuromuscular junction that can be exacerbated by many viral infections, including COVID19. Management of MG exacerbations is challenging in this scenario. We report 8 cases of MG exacerbation or myasthenic crisis associated with COVID19 and discuss prognosis and treatment based on a literature review. Most patients were female (7/8), with an average age of 47.1 years. Treatment was immunoglobulin (IVIG) in 3 patients, plasma exchange (PLEX) in 2 patients, and adjustment of baseline drugs in 3. In-hospital mortality was 25% and 37.5% in 2-month follow-up. This is the largest case series of MG exacerbation or myasthenic crisis due to COVID19 to this date. Mortality was considerably higher than in myasthenic crisis of other etiologies. Previous treatment for MG or acute exacerbation treatment did not seem to interfere with prognosis, although sample size was too small to draw definitive conclusions. Further studies are needed to understand the safety and effectiveness of interventions in this setting, particularly of PLEX, IVIG, rituximab and tocilizumab.

scholarly journals Association between active cooling and lower mortality among patients with heat stroke and heat exhaustion

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259441
Author(s):  
Jun Kanda ◽  
Shinji Nakahara ◽  
Shunsuke Nakamura ◽  
Yasufumi Miyake ◽  
Keiki Shimizu ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Core Body Temperature ◽  
Heat Stroke ◽  
Case Series ◽  
Clinical Findings ◽  
Hospital Death ◽  
Heat Illness ◽  
Heat Exhaustion ◽  
Active Cooling ◽  
Severe Group

Body cooling is recommended for patients with heat stroke and heat exhaustion. However, differences in the outcomes of patients who do or do not receive active cooling therapy have not been determined. The best available evidence supporting active cooling is based on a case series without comparison groups; thus, the effectiveness of this method in improving patient prognoses cannot be appropriately quantified. Therefore, we compared the outcomes of heat stroke patients receiving active cooling with those of patients receiving rehydration-only therapy. This prospective observational multicenter registry-based study of heat stroke and heat exhaustion patients was conducted in Japan from 2010 to 2019. The patients were stratified into the “severe” group or the “mild-to-moderate” group, per clinical findings on admission. After conducting multivariate logistic regression analyses, we compared the prognoses between patients who received “active cooling + rehydration” and patients who received “rehydration only,” with in-hospital death as the endpoint. Sex, age, onset situation (i.e., exertional or non-exertional), core body temperature, liver damage, renal dysfunction, and disseminated intravascular coagulation were considered potential covariates. Among those who received active cooling and rehydration-only therapy, the in-hospital mortality rates were 21.5% and 35.5%, respectively, for severe patients (n = 231) and 3.9% and 5.7%, respectively, for mild-to-moderate patients (n = 578). Rehydration-only therapy was associated with a higher in-hospital mortality in patients with severe heat illness (adjusted odds ratio [aOR], 3.29; 95% confidence interval [CI], 1.21–8.90), whereas the cooling methods were not associated with lower in-hospital mortality in patients with mild-to-moderate heat illness (aOR, 2.22; 95% CI, 0.92–5.84). Active cooling was associated with lower in-hospital mortality only in the severe group. Our results indicated that active cooling should be recommended as an adjunct to rehydration-only therapy for patients with severe heat illness.

scholarly journals Clinical characteristics and outcomes of inpatients with neurologic disease and COVID-19 in Brescia, Lombardy, Italy

Neurology ◽  
2020 ◽  
Vol 95 (7) ◽  
pp. e910-e920 ◽  
Author(s):  
Alberto Benussi ◽  
Andrea Pilotto ◽  
Enrico Premi ◽  
Ilenia Libri ◽  
Marcello Giunta ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Cerebrovascular Disorders ◽  
Laboratory Data ◽  
Hospital Death ◽  
Neurologic Disease ◽  
Neurologic Diseases ◽  
Number Of Patients ◽  
Failure Assessment ◽  
Scale Scores ◽  
Qsofa Score

ObjectiveTo report clinical and laboratory characteristics, treatment, and clinical outcomes of patients admitted for neurologic diseases with and without coronavirus disease 2019 (COVID-19).MethodsIn this retrospective, single-center cohort study, we included all adult inpatients with confirmed COVID-19 admitted to a neuro-COVID unit beginning February 21, 2020, who had been discharged or died by April 5, 2020. Demographic, clinical, treatment, and laboratory data were extracted from medical records and compared (false discovery rate corrected) to those of neurologic patients without COVID-19 admitted in the same period.ResultsOne hundred seventy-three patients were included in this study, of whom 56 were positive and 117 were negative for COVID-19. Patients with COVID-19 were older (77.0 years, interquartile range [IQR] 67.0–83.8 years vs 70.1 years, IQR 52.9–78.6 years, p = 0.006), had a different distribution regarding admission diagnoses, including cerebrovascular disorders (n = 43, 76.8% vs n = 68, 58.1%), and had a higher quick Sequential Organ Failure Assessment (qSOFA) score on admission (0.9, IQR 0.7–1.1 vs 0.5, IQR 0.4–0.6, p = 0.006). In-hospital mortality rates (n = 21, 37.5% vs n = 5, 4.3%, p < 0.001) and incident delirium (n = 15, 26.8% vs n = 9, 7.7%, p = 0.003) were significantly higher in the COVID-19 group. Patients with COVID-19 and without COVID with stroke had similar baseline characteristics, but patients with COVID-19 had higher modified Rankin Scale scores at discharge (5.0, IQR 2.0–6.0 vs 2.0, IQR 1.0–3.0, p < 0.001), with a significantly lower number of patients with a good outcome (n = 11, 25.6% vs n = 48, 70.6%, p < 0.001). In patients with COVID-19, multivariable regressions showed increasing odds of in-hospital death associated with higher qSOFA scores (odds ratio [OR] 4.47, 95% confidence interval [CI] 1.21–16.5, p = 0.025), lower platelet count (OR 0.98, 95% CI 0.97–0.99, p = 0.005), and higher lactate dehydrogenase (OR 1.01, 95% CI 1.00–1.03, p = 0.009) on admission.ConclusionsPatients with COVID-19 admitted with neurologic disease, including stroke, have a significantly higher in-hospital mortality and incident delirium and higher disability than patients without COVID-19.

scholarly journals Non-invasive Hemodynamic Monitoring in Prediction of the Outcome and Prognosis in Sepsis

QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
M S M Zaki ◽  
A A A Kassem ◽  
R H A Mohamed ◽  
N N M Guirguis
Keyword(s):  
Septic Shock ◽  
Severe Sepsis ◽  
Cardiac Index ◽  
Hospital Mortality ◽  
Hemodynamic Monitoring ◽  
Oxygen Delivery ◽  
Impedance Cardiography ◽  
Hospital Death ◽  
Arterial Blood ◽  
Causal Therapy

Abstract Background Complex disease syndromes such as sepsis require multimodal diagnostic and therapeutic approaches. Besides the diagnosis of septic shock and early causal therapy, one major challenge in its treatment remains the resuscitation and management of cardiocirculatory and respiratory dysfunction. As Pulmonary artery catheterization poses significant risks and requires specialized training. Technological advances allow for more readily available, noninvasive clinical measurements of hemodynamics. Impedance cardiography (ICG) offers the potential for safe, noninvasive hemodynamic monitoring that can be easily applied. Objective To evaluate the effect of cardiac index, mean arterial blood pressure, heart rate, and oxygen delivery as measured noninvasively by impedance cardiography (ICG) in prediction of the outcome and prognosis in sepsis. Patients and Methods This is a prospective, observational convenience trial of patients presenting to the ED or the ICU with severe sepsis or septic shock. The patients were part of a cohort that was followed at day 1, day 3 and day7, or until hospital discharge or in-hospital death. After Approval is obtained from the research ethics committee of anesthesia and intensive care department, Ain Shams University. Oral informed consent is obtained from the patient or designated surrogate before data collection begins. Results Twenty-three were enrolled; three were excluded due to an inability to complete data acquisition. The mean cardiac index in nonsurvivors (2.3 L / minÆm2, 95% CI = 2.1 to 2.6) was less than that for survivors (3.3, 95% CI = 2.9 to 3.5). Oxygen delivery as well as lactate were less in non-survivors group. A cardiac index of &lt; 2.5 L / minÆm2 had a sensitivity of 43% (95% CI = 18% to 71%), specificity of 93% (95% CI = 80% to 95%), for predicting in-hospital mortality. Conclusions Early, noninvasive measurement of the cardiac index in critically ill severe sepsis and septic shock patients can be performed in the ED for those who meet criteria for EGDT. There appears to be an association between an initial lower cardiac index as measured noninvasively and in-hospital mortality.

Clinical Significance of Bioimpedance Spectroscopy in Critically Ill Patients

2017 ◽  
Vol 34 (6) ◽  
pp. 495-502 ◽  
Author(s):  
Shang-Feng Yang ◽  
Ching-Min Tseng ◽  
I-Fan Liu ◽  
Shin-Hung Tsai ◽  
Wein-Shung Kuo ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Fluid Management ◽  
Laboratory Data ◽  
Acute Stage ◽  
Volume Control ◽  
Hospital Death ◽  
Icu Admission ◽  
The Third

Background: Early fluid resuscitation is a key aspect in the successful management of critically ill patients, but the optimal goal for volume control after the acute stage of critical illness remains unclear. This study aimed to evaluate the prognostic value of bioimpedance spectrometry for fluid management in critically ill patients. Methods: In this prospective observational study, patients who consented to participate were screened within the first 24 hours of admission to a medical intensive care unit (ICU) from February 4, 2015, to January 31, 2016. Information on demographics, comorbidities, primary reasons for admission, baseline laboratory data, and ventilator or inotropic use were documented. Data of fluid intake, fluid output, and body weight were recorded for the first 3 days of ICU admission. Bioimpedance spectrometry was performed on the first and third days after ICU admission. All participants were followed until death or hospital discharge. Results: Of the 140 enrolled patients (median age: 70 years, interquartile range: 60-77 years), 23 (16.4%) patients died during hospitalization. Independent predictors of hospital mortality were Acute Physiology and Chronic Health Evaluation II scores (per 1 point increase, odds ratio [OR]: 1.101) and overhydration (OH) volume on the first day (per 1 L increase, OR: 1.216). Compared to normal OH status (OH volume between −1 and 1 L), hyper OH status (OH volume < −1 L) on the third day after ICU admission was an independent predictor of hospital death (OR: 7.609). Normal OH status on the third day was associated with greater numbers of ICU-free and ventilator-free days. Conclusion: Bioimpedance spectrometry can be used to predict outcomes in critically ill patients. Increased OH volume on day 1 and hyper OH volume on day 3 of ICU admission are associated with a greater risk of hospital mortality. Volume status on day 3 is associated with durations of ventilator use and ICU stay.

scholarly journals Neutrophil-Lymphocyte count ratio on admission as a predictor of Bacteremia and In Hospital Mortality among Sepsis and Septic shock In Patients at Rizal Medical Center

2018 ◽  
Vol 9 (3) ◽  
pp. 36-40 ◽  
Author(s):  
Rakesh Kumar Mandal ◽  
Primo B. Valenzuela
Keyword(s):  
Septic Shock ◽  
Hospital Mortality ◽  
Lymphocyte Count ◽  
Medical Center ◽  
Laboratory Data ◽  
Positive Association ◽  
Cross Sectional ◽  
Clinical Prognosis ◽  
Count Ratio ◽  
Sepsis And Septic Shock

Background: Neutrophil-Lymphocyte count ratio (NLCR), a readily accessible biomarker, has become increasingly useful as predictive and prognostic tools in patients with various medical conditions. NLCR has also been reported to represent disease severity effectively.Aims and Objectives: To investigate NLCR on admission as a prognostic marker of bacteremia and in-hospital mortality in patients diagnosed with Sepsis and Septic Shock.Materials and Methods: This cross-sectional, retrospective study involves one-hundred twenty (120) adult patients with Sepsis and Septic Shock admitted to the IMCU and ICU from January 2015 to December 2016. Laboratory data and clinical outcomes were retrieved and documented from the laboratory and patients’ charts. A cut-off point of >10 was used to be a marker for bacteremia and hence, patients were stratified into two groups based on this cut-off. Out of 120, 78 patients (with mean age of 60) has NLCR of at least 10 while only 42 patients (with mean age of 55) has NCLR of at most 10.Results: A significant, strong and positive association between NLCR and in-hospital mortality was found (P=0.0001) indicating that an increased rate of mortality is observed for patients with persistently high NCLR. Results also indicated that NLCR is a significant predictor (P=0.0002) of in-hospital mortality via a logistic model. The receiver-operating characteristic (ROC) curve for NLCR predicting in-hospital mortality showed an area under the curve (AUC) of 0.8007 which is an indicative of high predictive power. Its sensitivity and specificity is calculated to be 97.37% and 93.18, respectively. Overall, the performance of NCLR as a predictor based on its computed hit rate is found to be approximately 93.33%.Conclusion: Increased NLCR levels were independently associated with unfavorable clinical prognosis in patients with sepsis. A high NLCR (>10) is significantly associated with in- hospital mortality. NCLR predicts in-hospital mortality with high accuracy, high precision and small misclassification.Asian Journal of Medical Sciences Vol.9(3) 2018 6-9

scholarly journals 125 * THYMECTOMY IN MYASTHENIA GRAVIS: PROPOSAL FOR A PREDICTIVE SCORE OF POSTOPERATIVE MYASTHENIC CRISIS

2013 ◽  
Vol 17 (suppl 2) ◽  
pp. S99-S100
Author(s):  
S. Margaritora ◽  
E. Meacci ◽  
G. Leuzzi ◽  
M. Chiappetta ◽  
V. Dall'Armi ◽  
...  
Keyword(s):  
Myasthenia Gravis ◽  
Predictive Score ◽  
Myasthenic Crisis

scholarly journals In-hospital Death Following Successful OHCA Resuscitation: Causes of early and late mortality and the impact of withdrawal of care

2020 ◽  
Author(s):  
Shu Li ◽  
Christos Lazaridis ◽  
Fernando D. Goldenberg ◽  
Atman P. Shah ◽  
Katie Tataris ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Hospital Mortality ◽  
Human Study ◽  
Early Death ◽  
Organ Injury ◽  
Neurological Injury ◽  
Hospital Death ◽  
Categorization System ◽  
The Impact ◽  
Hospital Cardiac Arrest

AbstractObjectiveIn-hospital mortality in patients successfully resuscitated following out-of-hospital cardiac arrest (OHCA) is high. The factors and timings of these deaths is not well known. To better understand in hospital post-OHCA mortality we developed a novel categorization system of in hospital death and studied the factors and timings associated with these deaths.MethodsThis was a single-centered retrospective observational human study in adult non-traumatic OHCA patients in a university affiliated hospital. Through an expert consensus process, a novel classification system of hospital death was developed.ResultsTwo hundred and forty-one patients were enrolled in the study. Death was categorized as due to withdrawal of life sustaining treatment (WOLST) 159 (66.0%), recurrent in-hospital cardiac arrest 51 (21.1%), or due to neurological criteria 31 (12.9%). Subcategorization of factors associated with WOLST into 7 categories was done by defined criteria. Inter-reliability of this system was 0.858. 50% of WOLST decisions were due to neurological injury. Early death (≤ 3 days) was associated with recurrent in-hospital cardiac arrest and WOLST in the setting of refractory shock or multi-organ injury. Late in-hospital death (> 3 days) was primarily due to WOLST decisions in the setting of isolated neurological injury.ConclusionsOHCA in hospital mortality occurred in a bimodal pattern with early deaths due to recurrent arrest and multiorgan injury while late deaths were due to isolated neurological injury. The majority of deaths occurred in the setting of WOLST decisions. Further study of the influence of these factors on post OHCA survival are needed.

scholarly journals Urine Output Is Associated With In-hospital Mortality in Intensive Care Patients With Septic Shock: A Propensity Score Matching Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Tianyang Hu ◽  
Zhao Qiao ◽  
Ying Mei
Keyword(s):  
Septic Shock ◽  
Risk Factor ◽  
Intensive Care ◽  
Propensity Score ◽  
Hospital Mortality ◽  
Predictive Value ◽  
Scoring System ◽  
Urine Output ◽  
Roc Curves ◽  
Intensive Care Patients

Background: The relationship between urine output (UO) and in-hospital mortality in intensive care patients with septic shock is currently inconclusive.Methods: The baseline data, UO, and in-hospital prognosis of intensive care patients with septic shock were retrieved from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. By drawing receiver operating characteristic (ROC) curves and comparing the areas under the ROC curves (AUC) to determine the predictive value of UO for in-hospital mortality, and by drawing the Kaplan-Meier curves to compare the difference in in-hospital mortality between different groups of UO.Results: Before and after the propensity score matching (PSM) analysis, UO was always a risk factor for in-hospital mortality in patients with septic shock. The AUC of UO was comparable to the Sequential Organ Failure Assessment (SOFA) scoring system, while the AUC of combining UO and SOFA was greater than that of SOFA. The median survival time of the high-UO group (UO &gt; 0.39 ml/kg/h, before PSM; UO &gt; 0.38 ml/kg/h, after PSM) was longer than that of the low-UO group. Compared with the high-UO group, the hazard ratios (HR) of the low-UO group were 2.6857 (before PSM) and 1.7879 (after PSM).Conclusions: UO is an independent risk factor for septic shock. Low levels of UO significantly increase the in-hospital mortality of intensive care patients with septic shock. The predictive value of UO is comparable to the SOFA scoring system, and the combined predictive value of the two surpasses SOFA alone.

The Attributable Mortality of Sepsis for Acute Kidney Injury: A Propensity Score Matched Study

2021 ◽  
Author(s):  
Huimiao Jia ◽  
Yijia Jiang ◽  
Xi Zheng ◽  
Wen Li ◽  
Meiping Wang ◽  
...  
Keyword(s):  
Septic Shock ◽  
Acute Kidney Injury ◽  
Mortality Rate ◽  
Propensity Score ◽  
Hospital Mortality ◽  
Excess Mortality ◽  
Kidney Injury ◽  
Attributable Mortality ◽  
Hospital Death ◽  
Significant Difference

Abstract Background: Both sepsis and AKI are diseases of major concern in intensive care unit (ICU). This study aimed to evaluate the excess mortality attributable to sepsis for acute kidney injury (AKI).Methods: A propensity score-matched analysis of a prospective cohort study about sepsis epidemiology in 18 Chinese ICUs (January 2014-August 2015) was performed (registration number: ChiCTR-ECH-13003934). Propensity score model was sequentially conducted to match AKI patients with and without sepsis on day 1, day 2, and day 3-5. The primary outcome was hospital death of AKI patients. Propensity score-matched analyses were conducted to estimate the excess mortality attributable to sepsis for AKI. Results: A total of 2008 AKI patients (40.9%) were eligible for the study. Of the 1010 AKI patients with sepsis, 619 (61.3%) were matched to 619 AKI patients in whom sepsis did not develop during the screening period of the study. The hospital mortality rate of matched AKI patients with sepsis was 205 of 619 (33.1%) compared with 150 of 619 (24.0%) for their matched AKI controls without sepsis (p = 0.001). The attributable mortality of total sepsis for AKI patients was 9.1% (95% CI 4.8-13.3%). Matched AKI patients with and without sepsis were subgrouped according to the severity of sepsis (sepsis, septic shock). Of the matched patients with sepsis, 328 (53.0%) diagnosed septic shock. The mortality rate showed remarkably higher in matched AKI patients with septic shock (43.9%) than their controls of patients without sepsis (27.7%). The attributable mortality of septic shock for AKI was 16.2% (95% CI 11.3-20.8%, p < 0.001). Further, the attributable mortality of sepsis for AKI was 1.4% (95% CI 4.1-5.9%, p = 0.825), although there was no significant difference of mortality rate observed between matched AKI patients with and without sepsis (21.0% vs. 19.6%).Conclusions: The attributable hospital mortality of total sepsis for AKI were 9.1%. Septic shock contributes to major excess mortality rate for AKI than sepsis.

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