Lactate/albumin ratio: An early prognostic marker in critically ill patients.

OBJECTIVES: We investigate the clinical utility of the lactate/albumin (L/A) ratio as an early prognostic marker of ICU mortality in a large cohort of unselected critically ill patients. METHODS: A retrospective single-center study using data from the Multiparameter Intelligent Monitoring Intensive Care III (MIMIC-III) database collected between 2001 and 2012. We screened adult patients (age ≥ 15) with measured lactate and albumin on the first day of ICU stay to evaluate the prognostic performance of the lactate and lactate/albumin (L/A) ratio for ICU mortality prediction. RESULTS: The overall ICU mortality in the 6414 eligible ICU patients was 16.4%. L/A showed a receiver-operating characteristics area under the curve (ROC-AUC) value of 0.69 (95% CI: 0.67, 0.70) to predict ICU mortality, higher than lactate 0.67 (95%CI: 0.65, 0.69). Regardless of the lactate level, L/A yielded better ROC-AUC compared to the lactate level [normal lactate (<2.0 mmol/L): 0.63 vs 0.60; intermediate lactate (2.0 mmol/L ≤ lactate <4.0 mmol/L): 0.58 vs 0.56; high lactate (≥4.0 mmol/L): 0.67 vs 0.66]. L/A was a better prognostic marker for ICU mortality in patients with decreased lactate elimination [hepatic dysfunction: 0.72 vs 0.70; renal dysfunction 0.70 vs 0.68]. The L/A ratio ROC-AUC was better in patients with sepsis (0.68 vs 0.66) and those who developed severe sepsis or septic shock (0.68 vs 0.66). CONCLUSIONS: The performance of L/A and lactate were equivalent in predicting ICU mortality and can be used as early prognostic markers for ICU patients with different initial lactate level and the presence of hepatic or renal dysfunction.

Effect of single nucleotide polymorphisms in SEPS1 and SEPP1 on expression in the protein level in metabolic syndrome in subjects with cardiovascular disease.

Metabolic syndrome (MetS) results from the interaction between environmental and genetic factors. Several previous studies considered the role of selenium in developing MetS. Two selenoproteins, selenoprotein S (SelS), and the Selenoprotein P (SePP) play an important role in antioxidative defense and therefore susceptibility to MetS. The involvement of SNPs in SEPP1 and SEPS1 have not been studied in MetS subjects. This study aims to investigate the association between the risk of MetS and four polymorphisms SEPS1 (rs28665122, rs4965373), SEPP1 (rs7579, rs3877899) in an Iranian population. The sample of this case-control study consisted of 132 Iranian patients with cardiovascular disease (71 MetS and 65 non-MetS subjects) from December 2015 to March 2016. Demographic data, medical history, and para-clinical were measured, and Taqman probes were used for allelic discrimination. The level of the SelS and the SePP were measured by the ELIZA method. No significant differences were found in the genotype frequencies of SEPS1 (rs4965373, rs28665122), SEPP1 (rs7579, rs3877899) in patients with MetS and the non-MetS group. The mean of SelS in MetS subjects with SEPS1 (rs4965373) GG genotype is significantly lower than the non-MetS group (4496.99 ± 3688.5 vs. 6148.6 ± 1127.0, P = 0.009). The mean of SePP in MetS subjects with SEPP1 (rs3877899) GG genotype is significantly lower than the non-MetS group (40.73 ± 8.44 vs.83.91 ± 21.33, P = 0.002). The mean of SePP in MetS subjects with SEPP1 (rs7579) GG genotype is lower than the non-MetS group (55.52 ± 16.7 vs. 109.48 ± 29.78, P = 0.01). In summary, the results of this study does not indicate significant differences in the SEPP1 (rs7579, rs3877899) and SEPS1 (rs4965373, rs28665122) genotypes between MetS and non-MetS subjects. However, the results show that the mean of expression of SelS and SePP decreased in the subjects with SEPP1 (rs7579) GG and SEPP1 (rs3877899) GG.

Effects of selenium supplementation on expression of SEPP1 in mRNA and protein levels in subjects with and without metabolic syndrome suffering from coronary artery disease: Selenegene study a double-blind randomized controlled trial.

Selenoprotein P (SePP) is involved in the protection against diseases. The present study is the first investigation of the effect of selenium supplementation on plasma selenium and expression of SEPP1 in mRNA and protein levels based on metabolic syndrome (MetS), in individuals suffering from coronary artery diseases. In this clinical trial, 160 patients with angiographically documented stenosis of more than 75% in each vessel were enrolled. Patients received either 200-mg selenium yeast tablets or placebo tablets orally after a meal, once daily for 60 days. The mRNA and protein levels of the selenium and SePP1 products were determined before and after the study. From the initial 160 participants, 145 subjects (71 MetS-affected individuals, 74 MetS-unaffected individuals) enrolled in this study. Comparing the selenium and placebo groups, no significant percentage changes of plasma selenium, △Ct SEPP1, or SePP were shown (P > 0.05). Moreover, beyond a significant difference for the expression of SePP in the selenium group compared to its baseline level (P < 0.05), no other significant differences were revealed for plasma selenium and △Ct SEPP1 after the intervention in either group (P > 0.05). Selenium supplementation did not affect plasma selenium or the mRNA or protein level of SePP in either groups after a 2-months intervention beyond a significant increase of SePP in the MetS group. This trial suggests that further studies should investigate the long-term use of selenium supplementation and the effect of a SePP increase on MetS as a potential therapeutic effect.

Association of expression of selenoprotein P in mRNA and protein levels with metabolic syndrome in subjects with cardiovascular disease: Results of the Selenegene study.

BACKGROUND: Selenoprotein P (SeP) is involved in transporting selenium from the liver to target tissues. Because SeP confers protection against disease by reducing chronic oxidative stress, the present study aimed to assess the level of SeP in the serum of patients with metabolic syndrome (MetS) with a history of cardiovascular disease (CVD). METHODS: A cross-sectional study was conducted in 63 and 71 subjects with and without MetS in the presence of documented CVD. All demographic, anthropometric and cardiometabolic variables (lipids, blood glucose, blood pressure) were assessed. Lifestyle-related factors and personal history and familial CVD risk factors were recorded. The expression of SELP in mRNA and protein levels in the serum was measured, and MetS was determined using ATPIII criteria. Binary logistic regression analysis demonstrated MetS and SeP to be dependent and independent variables, respectively. RESULTS: Mean of systolic and diastolic blood pressure, triglyceride, high-density lipoprotein-cholesterol, fasting blood sugar, body mass index and waist circumference were higher among subjects with MetS (p = 0.05). The mean of selenium was higher among subjects with MetS, whereas the mean of SeP was lower among subjects with MetS (p < 0.001). In the unadjusted model, the SeP had decreased odds for MetS [odds ratio (OR) = 0.995; 95% confidence interval (CI) = 0.989-1.00] (p < 0.04). Furthermore, the association between MetS and SeP levels remained marginally significant even after adjusting for potential confounders such as age, gender, family history, smoking status and nutrition. SeP and waist circumference show a significant relationship (OR =0.995; 95% CI = 0.990-1.00) (p < 0.033). CONCLUSIONS: We have demonstrated a significant decrease in circulating SeP levels according to MetS status in patients with documented cardiovascular disease.

The incidence and outcome of severe hyperlactatemia in critically ill patients.

This study aimed to assess the incidence, persistence, and associated mortality of severe hyperlactatemia in a large cohort of unselected critically ill patients. Also, we evaluated the association between 12 h lactate clearance, the timing of severe hyperlactatemia, and the maximum lactate levels with ICU mortality. In this retrospective, single-center study, we used data from the Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC-III) database. Data extracted to screen 23,598 ICU patients for severe hyperlactatemia. A total of 23,598 critically ill patients were eligible for this study. Overall, ICU mortality in the 23,598 ICU patients was 12.1%. Of these, 760 patients had lactate concentration [Formula: see text] 10 mmol/L and ICU mortality in this group was 65%. Our findings confirm the association between hyperlactatemia and ICU mortality [odds ratio 1.42 (95% CI 1.35; 1.49; P < 0.001)]. Data for 12 h lactate clearance was available for 443 patients (276 nonsurvivable vs. 167 survival). 12 h lactate clearance yielded a high area under the curve (AUC) of 0.78, (95% CI 0.74 and 0.83). Severe hyperlactatemia is associated with extremely high ICU mortality in a heterogeneous ICU population. Lactate derived variables (the timing and persistence of severe hyperlactatemia, maximum level, and 12 h clearance) are shown to be associated with ICU mortality in patients with severe hyperlactatemia. Our results suggest that maximum lactate level and 12 h lactate clearance were clinically useful prognostic parameters for patients with severe hyperlactatemia.

Depression screening using mobile phone usage metadata: a machine learning approach.

OBJECTIVE: Depression is currently the second most significant contributor to non-fatal disease burdens globally. While it is treatable, depression remains undiagnosed in many cases. As mobile phones have now become an integral part of daily life, this study examines the possibility of screening for depressive symptoms continuously based on patients' mobile usage patterns. MATERIALS AND METHODS: 412 research participants reported a range of their mobile usage statistics. Beck Depression Inventory-2nd ed (BDI-II) was used to measure the severity of depression among participants. A wide array of machine learning classification algorithms was trained to detect participants with depression symptoms (ie, BDI-II score ≥ 14). The relative importance of individual variables was additionally quantified. RESULTS: Participants with depression were found to have fewer saved contacts on their devices, spend more time on their mobile devices to make and receive fewer and shorter calls, and send more text messages than participants without depression. The best model was a random forest classifier, which had an out-of-sample balanced accuracy of 0.768. The balanced accuracy increased to 0.811 when participants' age and gender were included. DISCUSSIONS/CONCLUSION: The significant predictive power of mobile usage attributes implies that, by collecting mobile usage statistics, mental health mobile applications can continuously screen for depressive symptoms for initial diagnosis or for monitoring the progress of ongoing treatments. Moreover, the input variables used in this study were aggregated mobile usage metadata attributes, which has low privacy sensitivity making it more likely for patients to grant required application permissions.

Advanced method used for hypertension's risk factors stratification: support vector machines and gravitational search algorithm.

BACKGROUND: The aim of this study is to present an objective method based on support vector machines (SVMs) and gravitational search algorithm (GSA) which is initially utilized for recognition the pattern among risk factors and hypertension (HTN) to stratify and analysis HTN's risk factors in an Iranian urban population. METHODS: This community-based and cross-sectional research has been designed based on the probabilistic sample of residents of Isfahan, Iran, aged 19 years or over from 2001 to 2007. One of the household members was randomly selected from different age groups. Selected individuals were invited to a predefined health center to be educated on how to collect 24-hour urine sample as well as learning about topographic parameters and blood pressure measurement. The data from both the estimated and measured blood pressure [for both systolic blood pressure (SBP) and diastolic blood pressure (DBP)] demonstrated that optimized SVMs have a highest estimation potential. RESULTS: This result was particularly more evident when SVMs performance is evaluated with regression and generalized linear modeling (GLM) as common methods. Blood pressure risk factors impact analysis shows that age has the highest impact level on SBP while it falls second on the impact level ranking on DBP. The results also showed that body mass index (BMI) falls first on the impact level ranking on DBP while have a lower impact on SBP. CONCLUSION: Our analysis suggests that salt intake could efficiently influence both DBP and SBP with greater impact level on SBP. Therefore, controlling salt intake may lead to not only control of HTN but also its prevention.