Previous studies have shown an independent association between increased red cell distribution width (RDW) and mortality after acute myocardial infarction (AMI). However, evidence regarding the predictive significance of repeated measures of RDW in patients with AMI remains scarce. We aimed to investigate the association between the dynamic profile of RDW and in-hospital mortality in patients with AMI. This was a cross-sectional study. We extracted clinical data from the Medical Information Mart for Intensive Care IIIV1.4 database. Demographic data, vital signs, laboratory test data, and comorbidities were collected from the database. The clinical endpoint was in-hospital mortality. Cox proportional hazards models were used to evaluate the prognostic values of basic RDW, and the Kaplan–Meier method was used to plot survival curves. Subgroup analyses were performed to measure mortality across various subgroups. The repeated-measures data were compared using a generalized additive mixed model. In total, 3101eligible patients were included. In multivariate analysis, adjusted for age, sex, and ethnicity, RDW was a significant risk predictor of in-hospital mortality. Furthermore, after adjusting for more confounding factors, RDW remained a significant predictor of in-hospital mortality (tertile 3 vs tertile 1: hazard ratio 2.3; 95% confidence interval 1.39–4.01; P for trend <.05). The Kaplan–Meier curve for tertiles of RDW indicated that survival rates were highest when RDW was ≤13.2% and lowest when RDW was ≥14.2% after adjustment for age, sex, and ethnicity. During the intensive care unit stay, the RDW of nonsurvivors progressively increased until death occurred. Our findings showed that a higher RDW was associated with an increased risk of in-hospital mortality in patients with AMI.

Purpose We aimed to investigate the relationship between the serum anion gap (AG) and all-cause mortality in patients with acute pancreatitis (AP) in intensive care units (ICUs). Patients and Methods In this retrospective cohort analysis, data of patients with AP were extracted from the Medical Information Mart for Intensive Care database (version III). We collected the maximum serum AG value within the first 24 hours of ICU admission. The main outcome was 90-day all-cause mortality. A multivariate Cox proportional hazard regression model was used to examine the association between the serum AG and mortality. The restricted cubic spline curve was used to confirm a non-linear relationship between serum AG values and mortality. Results Of the 279 patients included in the study, 87 (31.18%) died. The serum AG value was positively associated with 90-day all-cause mortality (hazard ratio [HR] 1.08, 95% confidence interval [CI] 1.02–1.14), after adjusting for age, sex, alcohol consumption, congestive heart failure, diabetes mellitus, hypertension, eGFR, albumin, and the SOFA score. There was a non-linear relationship between serum AG values and mortality after adjusting for potential confounders. We used a two-piecewise regression model to obtain a threshold inflection point value of 13.8 mmol/L. The HR and the 95% CI on the left inflection point were 0. 82 (0.61–1.09; p = 0.1719), and on the right inflection point were 1.15 (1.08–1.23; p < 0.0001). Conclusion The relationship between all-cause mortality in patients with acute pancreatitis and serum AG values was non-linear. All-cause mortality and serum AG values were positively correlated when the serum AG value was >13.8 mmol/L.

Purpose Studies regarding death risk factors of disseminated intravascular coagulation (DIC) patients were limited. Therefore, we conducted this study to investigate whether the serum anion gap (AG) was independently related to all-cause mortality of DIC patients. Methods We used the data from Medical Information Mart for Intensive Care III version 1.4 (MIMIC-III v1.4). A total of 2,654 DIC patients were included. The main outcomes were in-hospital, 30-day, and 90-day all-cause mortality. The AG was measured upon ICU admission and its association with mortality was evaluated using the Cox proportional-hazards regression model. The generalized additive model and the smooth curve fitting were introduced to examine the non-linear association. Results After adjusting for potential covariates, the in-hospital, 30-day, and 90-day all-cause mortality were positively correlated with AG. The hazard ratio (HR), confidence intervals (CI), and P were 1.05 (1.04–1.07) <0.0001, 1.06 (1.04–1.07) <0.0001, and 1.05 (1.03–1.07) <0.0001, respectively. We did not find an obvious non-linear relationship between AG and in-hospital, 30-day, and 90-day mortality, which indicated that the association between AG and all-cause mortality of DIC patients was nearly linear. Conclusion Serum AG is positively related with all-cause mortality in DIC patients.

Atrial tachycardia originating from the right atrial appendage has a higher probability of failure of catheter ablation. Here we report a case of a 13-year-old boy with incessant tachycardia, complicated by heart enlargement, and heart failure. Electrophysiological examination showed that atrial tachycardia (AT) originated from the apex of the right atrial appendage, and endocardial catheter ablation was ineffective. After thoracoscopic approach, the right atrial appendage was successfully ablated with bipolar radiofrequency ablation forceps, atrial tachycardia was terminated and sinus rhythm was restored. Within 3 months since the patient was discharged from the hospital, no arrhythmia occurred and the heart structure returned to normal. Thus, thoracoscopic clamp radiofrequency ablation may be a reasonable choice for young patients with atrial tachycardia originated from the right atrial appendage when transendocardial ablation is not effective.

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ObjectivesPlatelet count is an independent predictor of mortality in patients with cancer. It remains unknown whether the platelet count is related to in-hospital mortality in severely ill patients with tumours.DesignA retrospective study based on a dataset from a multicentre cohort.SettingThis was a secondary analysis of data from one Electronic Intensive Care Unit Collaborative Research Database survey cycle (2014–2015).ParticipantsThe data pertaining to severely ill patients with tumours were collected from 208 hospitals located across the USA. This study initially a total of 200 859 participants. After the population was limited to patients with combined tumours and platelet deficiencies, the remaining 2628 people were included in the final data analysis.Primary and secondary outcome measuresThe main measure was the platelet count, and the main outcome was in-hospital mortality.ResultsAfter adjustment for the covariates, the platelet count had a curvilinear relationship with in-hospital mortality (p<0.001). The first inflection point was 18.4 (per 10 change). On the left side of the first inflection point (platelet count ≤184 'x10ˆ9/L), an increase of 10 in the platelet count was negatively associated with in-hospital mortality (OR 0.92, 95% CI 0.89 to 0.95, p<0.001). The second inflection point was 44.5 (per 10 change). Additional increases of 10 in the platelet count thereafter were positively associated with hospital mortality (OR 1.13, 95% CI 1.00 to 1.28, p=0.0454). The baseline platelet count was in the range of 184 'x10ˆ9/L–445 'x10ˆ9/L(p=0.0525), and the hospital mortality was lower than the baseline platelet count in other ranges.ConclusionsThe relationship between platelet count and in-hospital mortality in critically ill patients with tumours was curvilinear. The lowest in-hospital mortality was associated with platelet count between 184 'x10ˆ9/Land 445 'x10ˆ9/L. This indicates that both high and low platelet count should receive attention in clinical practice.

Background and ObjectivesFew studies have evaluated the impact of red blood cell distribution width (RDW) on prognosis for critically ill patients with acute stroke according to recent studies. The aim of this study was to investigate the association between RDW and mortality in these patients.MethodsClinical data were extracted from the eICU Collaborative Research Database (eICU-CRD) and analyzed. The exposure of interest was RDW measured at admission. The primary outcome was in-hospital mortality. Binary logistic regression models and interaction testing were performed to examine the RDW-mortality relationship and effect modification by acute myocardial infarction and hypertension (HP).ResultsData from 10,022 patients were analyzed. In binary logistic regression analysis, after adjusting for potential confounders, RDW was found to be independently associated with in-hospital mortality {odds ratio (OR) 1.07, [95% confidence interval (CI) 1.03 to 1.11]; p = 0.001}. Higher RDW linked to an increase in mortality (OR, 1.07; 95% CI, 1.03 to 1.11; P for trend &lt; 0.0001). Subgroup analysis showed that, in patients combined with AMI and without HP (both P-interaction &lt;0.05), the correlation between RDW and in-hospital mortality is stronger (AMI group: OR, 1.30; 95% CI, 1.07 to 1.58, not the AMI group: OR, 1.06; 95% CI, 1.02, 1.10; the HP group: OR,.98; 95% CI,.91 to 1.07, not the HP group: OR, 1.09; 95% CI, 1.05 to 1.14).ConclusionsA higher baseline RDW is independently correlated with prognosis in critically ill patients with acute stroke, and the correlation can be modified by AMI and HP duration.

Background: There is limited evidence on the correlation between platelet counts and all-cause mortality in critically ill patients with acute respiratory failure (ARF). The aim was to evaluate whether platelet count was associated with all-cause mortality in critical patients with ARF by using the eICU Collaborative Research Database.Methods: Using a retrospective multicenter cohort dataset, data of 26961 patients with ARF in ICU between 2014 and 2015 were collected. The independent variable was log2 basal platelet count, and the dependent variables were all-cause mortality in hospital and in ICU. Covariates included demographic data, Acute Physiology and Chronic Health Evaluation (APACHE) IV score, supportive treatment, and comorbidities.Results: In fully adjusted model, log2 basal platelet count was negatively associated with all-cause mortality both in hospital [ RR:0.87, 95% CI: 0.84 - 0.91] or in ICU [RR: 0.87, 95% CI:0.83, 0.92]. By nonlinearity test, the relationship between log2 basal platelet count and all-cause mortality in hospital and in ICU were nonlinear. The inflection point we got was 6.83 and 6.86 (after inverse log2 logarithmic conversion, the platelet count are 114×109/L and 116×109/L). There was no a correlation between blood platelets and all-cause mortality in hospital on the right side of the inflection point, (RR:0.96, 95% CI: 0.88-1.03) and in ICU (RR:0.97, 95% CI: 0.91-1.04).Conclusions: For patients with ARF in ICU, platelet count was negatively associated with all-cause mortality in hospital and in ICU when platelet count is less than 114 ×109/L and 116 ×109/L respectively, but when the platelet count was higher, we failed to observe a correlation between them. The safe ranges of platelet count we detected were 78×109/L -145×109/L and 89×109/L -147×109/L respectively.