Out-of-hospital cardiac arrest from brain cause: epidemiology, clinical features, and outcome in a multicenter cohort*.

OBJECTIVES: Although sudden cardiac death has been broadly studied, little is known on cerebrovascular events revealed by out-of-hospital cardiac arrest. We aimed to describe clinical features and prognosis of these patients and identify characteristics that could suggest a cerebrovascular etiology of the out-of-hospital cardiac arrest. DESIGN: Retrospective review (1999-2012) of databases of three regional referral ICU centers for out-of-hospital cardiac arrest. SETTING: Patients admitted to ICU for management of successfully resuscitated out-of-hospital cardiac arrest. PATIENTS: Patients were included when subarachnoid hemorrhage, intracranial hemorrhage, ischemic stroke, sub/epidural hematoma, or cerebral thrombophlebitis was identified as the primary cause of out-of-hospital cardiac arrest. Traumatic or infectious causes were excluded. Patients were compared with a group of out-of-hospital cardiac arrest of nonneurological origin. INTERVENTIONS: All medical records of the three prospective ICU databases, registered according to the Utstein style, were reviewed. MEASUREMENTS AND MAIN RESULTS: Among 3,710 patients admitted for out-of-hospital cardiac arrest, 86 were included (mainly subarachnoid hemorrhage, n = 73). Prodromes were mostly neurological but falsely evoked a cardiac origin in six patients. Electrocardiogram displayed abnormalities in 64% of patients, with 23% of pseudoischemic pattern (ST-segment elevation or left bundle branch block). Mortality rate was 100%, with brain death as the leading cause. In comparison with the nonneurological out-of-hospital cardiac arrest group, female gender, onset of neurological prodromes, lack of other prodromes, initial nonshockable rhythm, and unspecific electrocardiogram repolarization abnormalities were independent predictive factors of a primary cerebrovascular etiology. When present, the combination of these elements displayed an area under the receiver operating characteristic curve of 0.86 (95% CI, 0.81-0.91). CONCLUSIONS: Presentation of cerebrovascular event complicated with out-of-hospital cardiac arrest may mimic coronary etiology, but several clinical elements may help to identify brain causes. Even if survival is null, the high proportion of brain deaths provides opportunity for organ donation.

Association of socioeconomic deprivation with outcomes in critically ill adult patients: an observational prospective multicenter cohort study.

BACKGROUND: The influence of socioeconomic deprivation on health inequalities is established, but its effect on critically ill patients remains unclear, due to inconsistent definitions in previous studies. METHODS: Prospective multicenter cohort study conducted from March to June 2018 in eight ICUs in the Greater Paris area. All admitted patients aged ≥ 18 years were enrolled. Socioeconomic phenotypes were identified using hierarchical clustering, based on education, health insurance, income, and housing. Association of phenotypes with 180-day mortality was assessed using Cox proportional hazards models. RESULTS: A total of 1,748 patients were included. Median age was 62.9 [47.4-74.5] years, 654 (37.4%) patients were female, and median SOFA score was 3 [1-6]. Study population was clustered in five phenotypes with increasing socioeconomic deprivation. Patients from phenotype A (n = 958/1,748, 54.8%) were without socioeconomic deprivation, patients from phenotype B (n = 273/1,748, 15.6%) had only lower education levels, phenotype C patients (n = 117/1,748, 6.7%) had a cumulative burden of 1[1-2] deprivations and all had housing deprivation, phenotype D patients had 2 [1-2] deprivations, all of them with income deprivation, and phenotype E patients (n = 93/1,748, 5.3%) included patients with 3 [2-4] deprivations and included all patients with health insurance deprivation. Patients from phenotypes D and E were younger, had fewer comorbidities, more alcohol and opiate use, and were more frequently admitted due to self-harm diagnoses. Patients from phenotype C (predominant housing deprivation), were more frequently admitted with diagnoses related to chronic respiratory diseases and received more non-invasive positive pressure ventilation. Following adjustment for age, sex, alcohol and opiate use, socioeconomic phenotypes were not associated with increased 180-day mortality: phenotype A (reference); phenotype B (hazard ratio [HR], 0.85; 95% confidence interval CI 0.65-1.12); phenotype C (HR, 0.56; 95% CI 0.34-0.93); phenotype D (HR, 1.09; 95% CI 0.78-1.51); phenotype E (HR, 1.20; 95% CI 0.73-1.96). CONCLUSIONS: In a universal health care system, the most deprived socioeconomic phenotypes were not associated with increased 180-day mortality. The most disadvantaged populations exhibit distinct characteristics and medical conditions that may be addressed through targeted public health interventions.

Pain monitoring in anesthetized children: first assessment of skin conductance and analgesia-nociception index at different infusion rates of remifentanil.

BACKGROUND: Analgesia and nociception can not be specifically monitored during general anesthesia. Movement of the patient or hemodynamic variations are usually considered as symptoms of insufficient analgesia. The measure of skin conductance (SC) allows an assessment of peripheral sympathetic activity. The analgesia-nociception index (ANI) provides an evaluation of the parasympathetic activity based on heart rate variability. These two non-invasive monitors might allow a better assessment of perioperative nociception. OBJECTIVES: Describe the profiles of SC and ANI after a standardized nociceptive stimulation, in anesthetized children, at different infusion rates of remifentanil. MATERIALS/METHODS: For this pilot study, 12 children (8.4 ± 5 years) scheduled for middle-ear surgery were anesthetized with desflurane to maintain a bispectral index at 50. Remifentanil was used for analgesia, at an initial infusion rate of 0.2 µg·kg(-1) ·min(-1) . Remifentanil infusion rate was then decreased: Five steady-state periods of 10 min were obtained at 0.2, 0.16, 0.12, 0.08, and 0.04 µg·kg(-1) ·min(-1) . At the end of each period, a standardized tetanic stimulation was applied to the patient. Variations in heart rate, blood pressure, SC, and ANI were recorded before and after each stimulation. RESULTS: After the stimulation, ANI was significantly decreased compared with prestimulation values for all remifentanil infusion rates. This decrease was greater at 0.04 µg·kg(-1) ·min(-1) than at the other infusion rates. SC, heart rate, and blood pressure were not modified by the stimulations, whatever the dose of remifentanil. CONCLUSION: ANI might provide a more sensitive assessment of nociception in anesthetized children than hemodynamic parameters or skin conductance.

Interstitial lung disease-related pneumomediastinum in COVID-19 patients.

Pneumomediastinum in severe #COVID19 presentations could be due to a lung parenchymal retractive process generated by intense inflammation as in acute exacerbation of idiopathic pulmonary fibrosis or MDA-5 acute interstitial lung disease https://bit.ly/3qzBYMW.

Hemodynamic efficiency of hemodialysis treatment with high cut-off membrane during the early period of post-resuscitation shock: The HYPERDIA trial.

BACKGROUND: After resuscitation of cardiac arrest (CA), an acute circulatory failure occurs in about 50% of cases, which shares many characteristics with septic shock. Most frequently, supportive treatments are poorly efficient to prevent multiple organ failure and death. We evaluated whether an early plasma removal of inflammatory mediators using high cut-off continuous veno-venous hemodialysis (HCO-CVVHD) could improve hemodynamic status and outcome of these patients. PATIENTS AND METHODS: We performed a randomized open-label trial. Patients with post-cardiac arrest shock (defined as requirement of norepinephrine or epinephrine infusion > 1 mg/h) were included. The experimental group received 2 distinct sessions of HCO-CVVHD during the first 48 h following ICU admission. The control group received continuous veno-venous hemofiltration (CVVH) with standard membranes if needed. The primary endpoint was the delay to shock resolution asssessed by the length of catecholamine infusion. Number of vasopressors-free days at day 28, arterial blood pressure measures every 6-hours, daily fluid balance and mortality (ICU and day-28) were evaluated as secondary endpoints. RESULTS: 35 patients were included: 17 (median age 68.4, 59% male) in the HCO-CVVHD group and 18 (median age 66.3, 83% male) in the control group. Baseline characteristics did not differ between the two groups. Day-28 mortality rate was 64.7% and 72.2% in the HCO-CVVHD and control group, respectively (p = 0.72). Probability of vasopressors discontinuation over time was similar in the two groups (p for logrank test = 0.67). Number of day-28 catecholamine-free days was 25.1 [0, 26.5] and 24.5 [0, 26.2] in the HCO-CVVHD and control group, respectively (p = 0.65). No difference was observed regarding the daily-dose of vasopressors, arterial pressure profile and fluid balance. CONCLUSION: In cardiac arrest patients, HCO-CVVHD did not decrease the lenght of post-resuscitation shock and had no significant effect on hemodynamic profile. REGISTRATION: NCT00780299.

Usefulness of early plasma S-100B protein and Neuron-Specific Enolase measurements to identify cerebrovascular etiology of out-of-hospital cardiac arrest.

BACKGROUND: While S-100B protein and Neuron-Specific Enolase (NSE) dosages have been extensively investigated for neurological prognostication after cardiac arrest (CA), there is no data about their ability to detect a cerebrovascular cause of CA. We assessed the utility of plasma S-100B protein and NSE measurements for early diagnosis of primary neurological cause in resuscitated CA patients. PATIENTS AND METHODS: Case control study based on two prospectively acquired CA databases. Patients with a primary cerebrovascular etiology were compared with randomly selected CA of non-neurological cause. S-100B protein and NSE were measured at ICU admission in all patients. RESULTS: CA was due to a cerebrovascular etiology in 18 patients (subarachnoid hemorrhage, n = 15; ischemic stroke, n = 3), with an ICU mortality of 100%. Comparative group was constituted with 66 patients (cardiac etiology n = 45, respiratory etiology n = 21), with an ICU mortality of 71%. Admission S-100B protein concentration was 2.0 [0.63-7.15] µg/L in the cerebrovascular group and 0.45 [0.24-1.95] in the non-cerebrovascular group (p < 0.001). In contrast, NSE concentration was similar in cerebrovascular and non-cerebrovascular etiologies (35 [25-103] µg/L vs. 27 [19-47] respectively, p = 0.16). Area under ROC curves for S-100B protein and NSE to predict cerebrovascular cause of CA was 0.75 [95% CI: 0.64-0.87] and 0.61 [95% CI: 0.45-0.76], respectively. CONCLUSIONS: Even if S-100B protein dosage performs slightly better than NSE, early dosages of these biomarkers are poorly predictive of a cerebrovascular etiology of CA. Our results suggest that early measurement of brain biomarkers should not be recommended to tailor the imaging strategy employed to investigate the CA cause.

Predictors of long-term functional outcome and health-related quality of life after out-of-hospital cardiac arrest.

BACKGROUND: Even if a large majority of out-of-hospital cardiac arrest (OHCA) survivors appear to have a good neurological recovery with no important sequellae, whether health-related quality of life (HRQOL) is altered is less explored. PATIENTS AND METHODS: HRQOL was evaluated by telephone interview using SF-36 questionnaire. Each OHCA case was age and gender-matched with 4 controls from the French general population. Association between current condition of the survivors with the 8 dimensions of the SF-36 questionnaire was investigated using MANCOVA. Cluster analysis was performed to identify patterns of HRQOL among CPC1 survivors. RESULTS: 255 patients discharged alive from our referral centre between 2000 and 2013 (median age of 55y [45,64], 73.7% males) were interviewed. Global physical and mental components did not differ between CPC 1 survivors and controls (47.0 vs. 47.1, p=0.88 and 46.4 vs. 46.9, p=0.45) but substantially differed between CPC2, CPC3 and the corresponding controls. Younger age, male gender, good neurological recovery and daily-life autonomy at telephone interview were significantly associated with better scores in each SF-36 dimensions. Cluster analysis individualized 4 distinct subgroups of CPC1 patients characterised by progressively increased score of SF-36. Return to work and daily-life autonomy were differently distributed across these 4 groups while pre-hospital Utstein variables were not. CONCLUSION: HRQOL of CPC1 OHCA survivors appeared similar to that of the general population, but patients with CPC2 or 3 had altered HRQOL. Younger age, male gender, good neurological recovery and daily-life autonomy were independently associated with a better HRQOL.

Etiological diagnoses of out-of-hospital cardiac arrest survivors admitted to the intensive care unit: Insights from a French registry.

BACKGROUND: Respective proportions of final etiologies are disparate in cohorts of cardiac arrest patients, depending on examined population and diagnostic algorithms. In particular, prevalence and characteristics of sudden unexplained death syndrome (SUDS) are debated. We aimed at describing etiologies in a large cohort of aborted out-of-hospital cardiac arrest (OHCA) patients, in order to assess prevalence and outcome of SUDS. PATIENTS AND METHODS: We analyzed data from our prospective registry of successfully resuscitated OHCA patients admitted to a cardiac arrest centre between January 2002 and December 2014. The in-ICU diagnostic strategy included early coronary angiogram, brain and chest CT scan. This was completed by an extensive diagnostic strategy, encompassing biological and toxicological tests, repeated electrocardiograms and echocardiography, MRI and pharmacologic tests. Two independent investigators reviewed each final diagnosis. Baseline characteristics were compared between subgroups of patients. Three-month mortality was compared between subgroups using univariate Kaplan-Meier curves. RESULTS: Over the study period, 1657 patients were admitted to our unit after an aborted OHCA. The event was attributed to a non-cardiac and a cardiac cause in 478 (32.0%) and 978 (65.5%) patients, respectively. The main cause of cardiac related OHCA was ischemic heart disease (76.7%) while primary electrical diseases accounted for only 2.5%. Sudden unexplained deaths (SUDS) were observed in 37 (2.5%) patients. CONCLUSION: We observed that ischemic heart disease was by far the most common cause of cardiac arrest, while primary electrical diseases were much less frequent. SUDS accounted for a very small proportion of patients who suffered an aborted OHCA.