Colorimetric detection of electrolyte ions in blood based on biphasic microdroplet extraction.

BACKGROUND: Timely diagnosis and prevention of diseases require rapid and sensitive detection of biomarkers from blood samples without external interference. Abnormal electrolyte ion levels in the blood are closely linked to various physiological disorders, including hypertension. Therefore, accurate, interference-free, and precise measurement of electrolyte ion concentrations in the blood is particularly important. RESULTS: In this work, a colorimetric sensor based on a biphasic microdroplet extraction is proposed for the detection of electrolyte ions in the blood. This sensor employs mini-pillar arrays to facilitate contact between adjacent blood microdroplets and organic microdroplets serving as sensing phases, with any color changes being monitored through a smartphone's colorimetric software. The sensor is highly resistant to interference and does not require pre-treatment of the blood samples. Remarkably, the sensor exhibits exceptional reliability and stability, allowing for rapid enrichment and detection of K+, Na+, and Cl- in the blood within 10 s (Cl-), 15 s (K+) and 40 s (Na+) respectively. SIGNIFICANCE: The colorimetric sensor based on biphasic microdroplet extraction offers portability due to its compact size and ease of operation without the need for large instruments. Additionally, it is location-independent, making it a promising tool for real-time biomarker detection in body fluids such as blood.

Hyponatremia as a predictor of cognitive deterioration in hospitalized post-stroke patients.

PURPOSE: Evidence is scarce regarding the association between hyponatremia and alterations in cognitive function among hospitalized older patients. We aimed to investigate the associations between hyponatremia and the baseline cognitive status, as well as the improvement in cognitive function, in hospitalized post-stroke patients. METHODS: This retrospective cohort study included consecutive hospitalized post-stroke patients. Serum sodium concentrations were extracted from medical records based on blood tests performed within 24 h of admission, with hyponatremia defined as a serum sodium concentration < 135 mEq/L. The main outcomes included admission and discharge scores for cognitive levels, assessed through the cognitive domain of the Functional Independence Measure (FIM-cognition), as well as the score changes observed during the hospitalization period. Multivariate linear regression analyses were used to determine the association between hyponatremia and outcomes of interest, adjusted for potential confounders. RESULTS: Data from 955 patients (mean age 73.2 years; 53.6 % men) were included in the analysis. The median baseline blood sodium level was 139 [137, 141], and 84 patients (8.8 %) exhibited hyponatremia. After full adjustment for confounders, the baseline hyponatremia was significantly and negatively associated with FIM-cognition values at admission (ß = -0.009, p = 0.016), discharge (ß = -0.038, p = 0.043), and the gain during hospital stay (ß = -0.040, p = 0.011). CONCLUSION: Baseline hyponatremia has demonstrated a correlation with decline in cognitive level over the course of rehabilitation in individuals after stroke. Assessing hyponatremia at the outset proves to be a pivotal prognostic indicator.

High serum sodium predicts immunotherapy response in metastatic renal cell and urothelial carcinoma.

OBJECTIVES: The development of reliable biomarkers for the prediction of immune checkpoint inhibition (ICI) response in patients with metastatic renal cell carcinoma (mRCC) and urothelial carcinoma (mUC) remains an unresolved challenge. Conventional ICI biomarkers typically focus on tumor-related factors such as PD-L1 expression. However, a comprehensive evaluation of the predictive value of serum electrolyte levels, a so far widely unexplored area, is still pending. METHODS: We conducted a post-hoc analysis of baseline sodium, potassium, chloride, magnesium and calcium levels in two independent phase 3 clinical trials: IMvigor211 for mUC comparing atezolizumab to chemotherapy, and IMmotion151 for mRCC comparing atezolizumab+bevacizumab to sunitinib. This analysis aimed to evaluate the prognostic and predictive value of these electrolyte levels in these clinical settings. A total of 1787 patients (IMvigor211 n = 901; IMmotion151 n = 886) were analyzed. RESULTS: We found a linear correlation of baseline serum sodium and chloride with prognosis across both trials, which was not found for potassium, magnesium and calcium. In multivariate analysis, the prognostic capacity of sodium was limited to patients receiving ICI as compared to the control group. Interestingly, in both studies, the chance of achieving an objective response was highest in the patient subgroup with high baseline serum sodium levels of > 140 mmol/L (IMmotion151: Complete response in 17.9% versus 2.0% in patients with mRCC with baseline sodium < 135 mmol/L). Serum sodium outperformed tumor PD-L1 expression as a predictor for immunotherapy efficacy. CONCLUSIONS: Patients exhibiting elevated serum sodium levels derive the greatest benefit from immunotherapy, suggesting that baseline serum concentration could serve as a valuable and cost-effective predictive biomarker for immunotherapy across entities.

Association between serum sodium trajectory and mortality in patients with acute kidney injury: a retrospective cohort study.

INTRODUCTION: Dysnatremia is strongly associated with poor prognosis in acute kidney injury (AKI); however, the impact of sodium trajectories on the prognosis of patients with AKI has not yet been well elucidated. This study aimed to assess the association between sodium trajectories in patients with AKI and mortality at 30-day and 1-year follow-up. METHODS: This retrospective cohort study used data from Medical Information Mart for Intensive Care (MIMIC)-IV database, and patients diagnosed with AKI within 48 h after admission were enrolled. Group-based trajectory models (GBTM) were applied to map the developmental course of the serum sodium fluctuations. Kaplan-Meier survival curve was used to compare differences in mortality in AKI patients with distinct serum sodium trajectories. Hazard ratios (HRs) were calculated to determine the association between trajectories and prognosis using Cox proportional hazard models. RESULTS: A total of 9,314 AKI patients were enrolled. Three distinct sodium trajectories were identified including: (i) stable group (ST, in which the serum sodium levels remained relatively stable, n = 4,935; 53.0%), (ii) descending group (DS, in which the serum sodium levels declined, n = 2,994; 32.15%) and (iii) ascending group (AS, in which the serum sodium levels were elevated, n = 1,383; 14.85%). There was no significant difference in age and gender distribution among the groups. The 30-day mortality rates were 7.9% in ST, 9.5% in DS and 16.6% in AS (p < 0.001). The results of 1-year mortality rates were similar (p < 0.001). In adjusted analysis, patients in the DS (HR = 1.22, 95% confidence interval [CI], 1.04-1.43, p = 0.015) and AS (HR = 1.68, 95% CI, 1.42-2.01, p = 0.013) groups had higher risks of 30-day mortality compared to those in the ST group. CONCLUSION: In patients with AKI, the serum sodium trajectories were independently associated with 30-day and 1-year mortality. Association between serum sodium level trajectories and prognosis in patients with AKI deserve further study.

Electrolyte disturbances in patients hospitalized for COVID-19 infection: An observational study.

There are multiple mechanisms by which The Coronavirus-19 (COVID-19) infection can cause electrolyte abnormalities, which may not be the case for bacterial causes of pneumonia. This study aimed to assess the differences in electrolyte levels between patients suffering from COVID-19 and bacterial pneumonia. This is an original, retrospective study. Two cohorts of hospitalized patients were included, 1 suffering from COVID-19 and the other from bacterial pneumonia. Their day 1 and day 3 levels of sodium, potassium, magnesium, and phosphorus, as well as their outcomes, were extracted from the charts. Statistical analysis was subsequently performed. Mean admission levels of sodium, potassium, phosphorus, and magnesium were 135.64 ±â€…6.13, 4.38 ±â€…0.69, 3.53 ±â€…0.69, and 2.03 ±â€…0.51, respectively. The mean day 3 levels of these electrolytes were 138.3 ±â€…5.06, 4.18 ±â€…0.59, 3.578 ±â€…0.59, and 2.11 ±â€…0.64, respectively. Patients suffering from bacterial pneumonia were significantly older (N = 219, mean = 64.88 ±â€…15.99) than patients with COVID-19 pneumonia (N = 240, mean = 57.63 ±â€…17.87). Bacterial pneumonia group had significantly higher serum potassium (N = 211, mean = 4.51 ±â€…0.76), and magnesium (N = 115, mean = 2.12 ±â€…0.60) levels compared to COVID-19 group (N = 227, mean = 4.254 ±â€…0.60 for potassium and N = 118, mean = 1.933 ±â€…0.38 for magnesium). Only magnesium was significantly higher among day 3 electrolytes in the bacterial pneumonia group. No significant association between electrolyte levels and outcomes was seen. We found that COVID-19 patients had lower potassium and magnesium levels on admission, possibly due to the effect of COVID-19 on the renin-angiotensin-aldosterone system as well as patient characteristics and management. We did not find enough evidence to recommend using electrolyte levels as a determinator of prognosis, but more research is needed.

Dysnatremia in a changing climate: A global systematic review of the association between serum sodium and ambient temperature.

OBJECTIVE: Both hyponatremia and hypernatremia have been reported to occur more frequently with higher ambient temperatures, although the underlying mechanisms are not well understood. Global temperatures are rising due to climate change, which may impact the incidence of dysnatremia worldwide. We aimed to identify, collate and critically appraise studies analyzing the relationship between climate measures (outdoor temperature, humidity) and serum sodium concentrations. DESIGN: Systematic review, reported in accordance with PRISMA guidelines. METHODS: MEDLINE and Embase were searched with relevant key terms. Studies assessing the effect on serum sodium measurement of elevated temperature or humidity versus a comparator were included. RESULTS: Of 1466 potentially relevant studies, 34 met inclusion criteria, originating from 23 countries spanning all inhabited continents. The majority (30 of 34, 88%) reported a significant association between outdoor temperature and dysnatremia, predominantly lower serum sodium with increased ambient temperature. Humidity had a less consistent effect. Individuals aged above 65 years, children, those taking diuretics and antidepressants, those with chronic renal impairment or those undertaking physical exertion had increased vulnerability to heat-associated dysnatremia. The risk of bias was assessed to be high in all but four studies. CONCLUSIONS: Higher ambient temperature is consistently associated with an increased incidence of hyponatremia. We infer that hyponatremia presentations are likely to rise with increasing global temperatures and the frequency of extreme heat events secondary to climate change. Evidence-based public health messages, clinician education and reduction in fossil fuel consumption are necessary to reduce the expected burden on healthcare services worldwide.

CLSI-based verification and de novo establishment of reference intervals for common biochemical assays in Croatian newborns.

Introduction: This study aimed to examine whether the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) reference intervals for 19 commonly used biochemical assays (potassium, sodium, chloride, calcium, magnesium, inorganic phosphorous, glucose, urea, creatinine, direct and total bilirubin, C-reactive protein (CRP), total protein, albumin, aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT), alkaline phosphatase (ALP) and lactate dehydrogenase (LD)) could be applied to the newborn population of one Croatian clinical hospital. Materials and methods: Reference interval verification was performed according to the CLSI EP28-A3c guidelines. Samples of healthy newborns were selected using the direct a posteriori sampling method and analyzed on the Beckman Coulter AU680 biochemical analyzer. If verification wasn't satisfactory, further procedure included de novo determination of own reference intervals by analyzing 120 samples of healthy newborns. Results: After the first set of measurements, 14/19 tested reference intervals were adopted for use: calcium, inorganic phosphorous, glucose, urea, creatinine, total bilirubin, CRP, total protein, albumin, AST, ALT, GGT, ALP and LD. A second set of samples was tested for 5 analytes: potassium, sodium, chloride, magnesium and direct bilirubin. The verification results of the additional samples for sodium and chloride were satisfactory, while the results for potassium, magnesium and direct bilirubin remained unsatisfactory and new reference intervals were determined. Conclusions: The CALIPER reference intervals can be implemented into routine laboratory and clinical practice for the tested newborn population for most of the analyzed assays, while own reference intervals for potassium, magnesium and direct bilirubin have been determined.

Hyponatremia in the Context of Liver Disease.

Hyponatremia is common in patients with liver disease and is associated with increased mortality, morbidity, and a reduced quality of life. In liver transplantation, the inclusion of hyponatremia in organ allocation scores has reduced waitlist mortality. Portal hypertension and the resulting lowering of the effective arterial blood volume are important pathogenetic factors, but in most patients with liver disease, hyponatremia is multifactorial. Treatment requires a multifaceted approach that tries to reduce electrolyte-free water intake, restore urinary dilution, and increase nonelectrolyte solute excretion. Albumin therapy for hyponatremia is a peculiarity of advanced liver disease. Its use appears to be increasing, while the vaptans are currently only given in selected cases. Osmotic demyelination is a special concern in patients with liver disease. Serial checks of serum sodium concentrations and urine volume monitoring are mandatory.

Plasma sodium during the recovery of renal function in critically ill adult patients: Multicenter prospective cohort study.

BACKGROUND: Sodium increases during acute kidney injury (AKI) recovery. Both hypernatremia and positive fluid balances are associated with increased mortality. We aimed to evaluate the association between daily fluid balance and daily plasma sodium during the recovery from AKI among critical patients. METHODS: Adult patients with AKI were enrolled in four ICUs and followed up for four days or until ICU discharge or hemodialysis initiation. Day zero was the peak day of creatinine. The primary outcome was daily plasma sodium; the main exposure was daily fluid balance. RESULTS: 93 patients were included. The median age was 66 years; 68% were male. Plasma sodium increased in 79 patients (85%), and 52% presented hypernatremia. We found no effect of daily fluid balance on plasma sodium (ß -0.26, IC95%: -0.63-0.13; p = 0.19). A higher total sodium variation was observed in patients with lower initial plasma sodium (ß -0.40, IC95%: -0.53 to -0.27; p < 0.01), higher initial urea (ß 0.07, IC95%: 0.04-0.01; p < 0.01), and higher net sodium balance (ß 0.002, IC95%: 0.0001-0.01; p = 0.05). CONCLUSIONS: The increase in plasma sodium is common during AKI recovery and can only partially be attributed to the water and electrolyte balances. The incidence of hypernatremia in this population of patients is higher than in the general critically ill patient population.

Evaluation of Sensitive Analytes to Hemolysis Interference on an Automated Chemistry Analyzer.

BACKGROUND: Hemolysis is a common reason for specimen rejection in the laboratory. Our experience suggested that hemolysis (H) flag limits are too strict for some analytes leading to unnecessary specimen rejections. This study summarizes H flags for commonly rejected analytes on the Beckman Coulter DxC 700 AU analyzer. METHODS: We evaluated analytes with low-limit H flags and high rejection rates. These included: aspartate aminotransferase (AST), alanine aminotransferase (ALT), iron (IRN), potassium (K), direct bilirubin (DBIL), magnesium (Mg), amylase (AMY), sodium (Na), gamma-glutamyltransferase (GGT), phosphorus (PHOS), albumin (ALB), alkaline phosphatase (ALKP), and lactate dehydrogenase (LDH). Five patient plasma pools without hemolysis were made from 50 patient specimens. Neat pools were analyzed to establish baseline analyte concentrations. A hemolysate was created by diluting whole blood with distilled water. Each analyte was tested after spiking each pool with the hemolysate to specific hemoglobin concentrations corresponding to manufacturer's H flags. Percent differences were calculated between baseline pool means and each flag's pool mean. Acceptance limits were based upon the average of the 2019 CLIA and the method precision limits. Calculated percent differences greater than the acceptance limits were considered significant. RESULTS: Manufacturer-defined hemolysis flags can be updated to greater than 1+ for Na, K, and AST, greater than 3+ for ALKP, and greater than 4+ for AMY and Mg. No changes were noted for the remaining analytes. CONCLUSIONS: The hemolysis criteria set for ALKP, AMY, AST, Mg, K, and Na were updated in the Remisol Advance middleware, which led to a 56% reduction in rejected hemolyzed specimens.

A machine learning approach for predicting treatment response of hyponatremia.

Hyponatremia leads to severe central nervous system disorders and requires immediate treatment in some cases. However, a rapid increase in serum sodium (s-Na) concentration could cause osmotic demyelination syndrome. To achieve a safety hyponatremia treatment, we develop a prediction model of s-Na concentration using a machine learning. Among the 341 and 47 patients admitted to two tertiary hospitals for hyponatremia treatment (s-Na <130 mEq/L), those who were admitted to the general unit with urine sodium <20 mEq/L or treated with desmopressin were excluded. Ultimately, 74 and 15 patients (342 and 146 6-hourly datasets) were included in the learning and validation data, respectively. We trained the prediction model using three regression algorithms for shallow machine learning to predict s-Na every 6 h during treatment with the data of patients with hyponatremia (median s-Na: 112.5 mEq/L; range: 110.0-116.8 mEq/L) from one hospital. The model was validated externally using the data of patients with hyponatremia (median s-Na: 117.0 mEq/L; range: 112.9-120.0 mEq/L) from another hospital. Using 5-7 predictors (water intake, sodium intake, potassium intake, urine volume, s-Na concentration, serum potassium concentration, serum chloride concentration), the support vector regression model showed the best performance overall (root mean square error = 0.05396; R2 = 0.92), followed by the linear regression and regression tree models. The predicted s-Na levels, using explainable machine learning algorithms and clinically accessible parameters, correlated well with the actual levels. Thus, our model could be applied to the treatment of hyponatremia in clinical practice.

Effect of long-term serum sodium levels on the prognosis of patients on maintenance hemodialysis.

Abnormal serum Na (SNa) levels are common in patients with chronic kidney disease (CKD) which is associated with increased morbidity and mortality. There are relatively few studies on the effect of SNa indicators on the prognosis of patients undergoing maintenance hemodialysis (MHD). We aim to investigate the effect of long-term SNa levels on the survival and prognosis of patients undergoing hemodialysis (HD). Newly entered HD patients in the registration system of Zhejiang Provincial Dialysis Quality Control Center between January 1, 2010 and December 31, 2019 were included and followed up until December 31, 2020. Multiple sodium levels were collected from patients, defining long-term SNa as the mean of multiple SNa, according to which patients were grouped, with the prognostic differences between subgroups compared by Kaplan-Meier modeling and multifactorial Cox regression modeling. Finally, a total of 21,701 patients were included in this study and Cox regression showed that decreased SNa levels (Na < 135 mmol/L, HR = 1.704, 95% CI 1.408-2.063, p < 0.001; 135≦Na≦137.5 mmol/L, HR = 1.127,95% CI 1.016-1.250, p = 0.024) and elevated SNa levels (142.5 < Na≦145mmol/L, HR = 1.198, 95% CI 1.063-1.350, p = 0.003; Na > 145mmol/L, HR = 2.150, 95% CI 1.615-2.863, p < 0.001) were all independent risk factors for all-cause mortality in MHD patients.

Effects of ingesting beverages containing glycerol and sodium with isomaltulose or sucrose on fluid retention in young adults: a single-blind, randomized crossover trial.

We evaluated changes in hyperhydration and beverage hydration index (BHI, a composite measure of fluid balance after consuming a test beverage relative to water) during resting, induced by the consumption of beverages containing glycerol and sodium supplemented with fast-absorbing sucrose or slow-absorbing isomaltulose. In a randomized crossover, single-blinded protocol (clinical trials registry: UMIN000042644), 14 young physically active adults (three women) consumed 1 L of beverage containing either 7% glycerol + 0.5% sodium (Gly + Na), Gly + Na plus 7% sucrose (Gly + Na + Suc), Gly + Na plus 7% isomaltulose (Gly + Na + Iso), or water (CON) over a 40 min period. We assessed the change in plasma volume (ΔPV), BHI (calculated from cumulative urine output following consumption of water relative to that of the beverage), and blood glucose and sodium for 180 min after initiating ingestion. Total urine volume was reduced in all beverages containing glycerol and sodium compared to CON (all P ≤ 0.002). The addition of isomaltulose increased BHI by ∼45% (3.43 ± 1.0 vs. 2.50 ± 0.7 for Gly + Na, P = 0.011) whereas sucrose did not (2.6 ± 0.6, P = 0.826). The PV expansion was earliest for Gly + Na (30 min), slower for Gly + Na + Suc (90 min), and slowest for Gly + Na + Iso (120 min) with a concomitant lag in the increase of blood glucose and sodium concentrations. Supplementation of beverages containing glycerol and sodium with isomaltulose but not sucrose enhances BHI from those of glycerol and sodium only under a resting state, likely due to the slow absorption of isomaltulose-derived monosaccharides (i.e., glucose and fructose).

Impact of serum sodium concentrations, and effect modifiers on mortality in the Irish Health System.

BACKGROUND: Abnormalities of serum sodium are associated with increased mortality risk in hospitalised patients, but it is unclear whether, and to what extent other factors influence this relationship. We investigated the impact of dysnatraemia on total and cause-specific mortality in the Irish health system while exploring the concurrent impact of age, kidney function and designated clinical work-based settings. METHODS: A retrospective cohort study of 32,666 participants was conducted using data from the National Kidney Disease Surveillance System. Hyponatraemia was defined as < 135 mmol/L and hypernatraemia as > 145 mmol/L with normal range 135-145 mmol/L. Multivariable Cox proportional hazards regression was used to estimate hazard ratios (HR's) and 95% Confidence Intervals (CIs) while penalised spline models further examined patterns of risk. RESULTS: There were 5,114 deaths (15.7%) over a median follow up of 5.5 years. Dysnatraemia was present in 8.5% of patients overall. In multivariable analysis, both baseline and time-dependent serum sodium concentrations exhibited a U-shaped association with mortality. Hyponatremia was significantly associated with increased risk for cardiovascular [HR 1.38 (1.18-1.61)], malignant [HR: 2.49 (2.23-2.78)] and non-cardiovascular/non-malignant causes of death [1.36 (1.17-1.58)], while hypernatremia was significantly associated with cardiovascular [HR: 2.16 (1.58-2.96)] and non-cardiovascular/ non-malignant deaths respectively [HR: 3.60 (2.87-4.52)]. The sodium-mortality relationship was significantly influenced by age, level of kidney function and the clinical setting at baseline (P < 0.001). For hyponatraemia, relative mortality risks were significantly higher for younger patients (interaction term P < 0.001), for patients with better kidney function, and for patients attending general practice [HR 2.70 (2.15-3.36)] than other clinical settings. For hypernatraemia, age and kidney function remained significant effect modifiers, with patients attending outpatient departments experiencing the greatest risk [HR 9.84 (4.88-18.62)] than patients who attended other clinical locations. Optimal serum sodium thresholds for mortality varied by level of kidney function with a flattening of mortality curve observed for patients with poorer kidney function. CONCLUSION: Serum sodium concentrations outside the standard normal range adversly impact mortality and are associated with specific causes of death. The thresholds at which these risks appear to vary by age, level of kidney function, and are modified in specific clinical settings within the health system.

Effects of serum sodium and chloride levels in the outcome of critically ill pediatric patients in the post-operative period of liver transplantation.

BACKGROUND: Sodium and chloride disturbances have attracted increasing attention in recent years. Many pathophysiological effects are associated with hyperchloremia, including reduction in mean arterial pressure and acute renal disease. Pediatric patients undergoing liver transplantation are at risk of developing various electrolyte and biochemical abnormalities, with an impact on their postoperative outcomes. OBJECTIVE: To analyze the impacts of serum sodium and chloride levels on prognosis of Pediatric Liver Transplant receptors. METHODS: This was a retrospective analytical observational study performed in a single transplant reference center in Sao Paulo, Brazil. Included patients were pediatric patients who underwent liver transplantation between January 2015 and July 2019. Statistical regression analysis and General Estimating Equations analysis were performed to evaluate the impacts of sodium and chloride disturbances on the development of acute renal failure and mortality. RESULTS: A total of 143 patients were included in this study. The main diagnosis was Biliary Atresia (62.9%). Twenty-seven patients died (18.9%), and graft dysfunction was the main cause of death (29.6%). The only variable individually associated with 28-days mortality was PIM-3 score (HR 1.59, CI 95% 1.165-2.177, p = 0.004). Forty-one patients (28.6%) developed moderate or severe AKI. PIM-3 score (OR 3.052, 95% CI 1.56-5.97, p = 0.001), hypernatremia (OR 3.49, 95% CI 1.32-9.23, p = 0.012), and hyponatremia (OR 4.24, 95% CI 1.52-11.85, p = 0.006) were independently associated with the development of moderate/severe AKI. CONCLUSIONS: In pediatric patients after liver transplantation, PIM-3 score, and abnormal serum sodium levels were correlated with AKI development.

Assessment of Intravascular Volume Status in Children with Nephrotic Edema Using Serum and Urinary Indices and Its Correlation with Inferior Vena Cava Collapsibility Index.

Identification of volume status in nephrotic syndrome (NS) is important but clinically challenging. Urinary and serum indices can be helpful in assessing the volume status and so can be inferior vena cava collapsibility index (IVCCI). This study was done to assess the serum and urinary indices in children with nephrotic edema and to correlate them with IVCCI for intravascular volume assessment. Fifty children with nephrotic edema and 47 children in remission were analyzed for blood and urine indices. Volume status was defined as overfilling or underfilling based on the biochemical indices and also by IVCCI. Eighty-four percent individuals among cases and 23% among controls had sodium retention (FENa < 0.5%). Among cases, 54% had primary sodium retention compared to 17% among controls (p = 0.0002). Hypovolemia was observed among 36% cases based on biochemical indices and in 20% cases as per IVCCI. Hypovolemia was significantly associated with low urinary sodium and low serum albumin.

Retrospective analysis of patients diagnosed with severe hyponatraemia in the emergency department.

Background . We investigated the demographic, aetiological and clinical characteristics of patients who presented to the emergency department and had severe hyponatraemia. Methods . We retrospectively evaluated 1171 patients who presented to the emergency department and were diagnosed with severe hyponatraemia. Results . Over half the patients studied were women (53.5%). The mean age of women was higher (p<0.0001). The most common complaint was dyspnoea (16.8%) and 42.5% of the patients had an oral intake disorder. In addition, 22.3% of the patients were on loop diuretics. About 76.3% of patients were conscious, and the mean sodium level of these patients was higher than the mean sodium level of those who responded to verbal and painful stimuli (p<0.001). Severe isolated hyponatraemia was observed in 61.8% of the patients. The mortality rate was 12.8%. There was no difference between the mean sodium levels of the deceased and discharged patients (p=1.0). The mortality rate was higher in patients who had a history of cirrhosis and cancer, but was lower in patients with a history of coronary artery disease (p=0.0002, p<0.0001 and p=0.04, respectively). Conclusion . Severe hyponatraemia was more prevalent in women, serum sodium levels were higher in conscious patients, and the mortality rate was higher in patients who had a history of cirrhosis and cancer. We found that the mean serum sodium levels did not help in distinguishing between the deceased and discharged patients.

Prognostic utility of the prognostic nutritional index combined with serum sodium level in patients with heart failure.

BACKGROUND AND AIMS: Both malnutrition and hyponatremia (serum sodium <135 mmol/L) can be induced by the impaired absorption function of the edematous intestinal wall caused by heart failure (HF) and are prognostic factors of mortality in HF. However, little is known about the interrelationship of nutritional status and hyponatremia in mortality risk prediction in HF. METHODS AND RESULTS: This study enrolled 2882 HF patients admitted to the HF care unit of Fuwai Hospital, Beijing, China from 2008 to 2018; 71.3% were male and the mean age was 56.64 ± 15.96 years. Nutritional status was assessed by prognostic nutritional index (PNI), calculated as serum albumin (g/L) + 5 × total lymphocyte count (109/L). Lower PNI indicates worse nutritional status. Patients were divided into 8 groups based on baseline PNI quartiles (Q1: <43.6, Q2: 43.6-48.55, Q3: 48.55-63.25, Q4: >63.25) and sodium level (normal sodium and hyponatremia). After adjustment, patients in the PNI Q1 associated with hyponatremia had a 2.12-fold higher risk of all-cause death (95% confidence interval [CI]: 1.67-2.70) compared with those in the PNI Q4 with normal sodium. A refinement in risk prediction was observed after adding PNI quartile and serum sodium category to the original model (ΔC-statistic = 0.018, 95% CI: 0.007-0.025; net re-classification index = 0.459, 95% CI: 0.371-0.548; integrated discrimination improvement = 0.025, 95% CI: 0.018-0.032). CONCLUSION: HF patients with both the lowest PNI quartile and hyponatremia are at higher risk of all-cause mortality. The combination of PNI and serum sodium level enhanced the predictive value for all-cause mortality in hospitalized HF patients. CLINICAL TRIAL REGISTRATION: URL: ClinicalTrials.gov; Unique Identifier: NCT02664818.

Whole-brain metabolic pattern analysis in patients with anti-leucine-rich glioma-inactivated 1 (LGI1) encephalitis.

BACKGROUND AND PURPOSE: Faciobrachial dystonic seizures (FBDS) and hyponatremia are the distinct clinical features of autoimmune encephalitis (AE) caused by antibodies against leucine-rich glioma-inactivated 1 (LGI1). The present study aims to explore the pathophysiological patterns and neural mechanisms underlying these symptoms. METHODS: We included 30 patients with anti-LGI1 AE and 30 controls from a retrospective observational cohort. Whole-brain metabolic pattern analysis was performed to assess the pathological network of anti-LGI1 AE, as well as the symptom networks associated with FBDS. Logistic regression was applied to explore independent predictors of FBDS. Finally, we used a multiple regression model to investigate the hyponatremia-associated brain network and its effect on serum sodium levels. RESULTS: The pathological network of anti-LGI1 AE involved hypermetabolism in the cerebellum, subcortical structures and Rolandic area, as well as hypometabolism in the medial prefrontal cortex. The symptom network of FBDS included hypometabolism in the cerebellum and Rolandic area (pFDR <0.05). Hypometabolism in the cerebellum was an independent predictor of FBDS (p < 0.001). Hyponatremia-associated network highlighted a negative effect on the caudate nucleus, frontal and temporal white matter. The metabolism of the hypothalamus was negatively associated with (Pearson's R = -0.180, p = 0.342), while not the independent predictor for serum sodium level (path c' = -7.238, 95% confidence interval = -30.947 to 16.472). CONCLUSIONS: Our results provide insights into the whole-brain metabolic patterns of patients with anti-LGI1 AE, including the symptom network associated with FBDS and the hyponatremia-associated brain network. The findings help us to understand the neural mechanisms underlying anti-LGI1 AE and to evaluate the progress of this disease.

The relationship between B-cell lymphoma 2, interleukin-1ß, interleukin-17, and interleukin-33 and the development of diabetic nephropathy.

BACKGROUND: Diabetic nephropathy (DN) is among the main complications of diabetes mellitus and has been a major factor of renal failure. This study was designed to address the association between beta-cell lymphoma-2 (Bcl-2), interleukin (IL)-1ß, IL-17, and IL-33 and the development of DN. METHODS: In this study, 20 healthy volunteers and 100 patients were enrolled. According to their biochemical markers, the patients were categorized into five groups: diabetic, chronic renal disease, diabetic chronic renal disease, end-stage renal disease, and diabetic end-stage renal disease. RESULTS: Our results showed a noticeable elevation in IL-1ß and IL-17 levels and a reduction in IL-33 and Bcl-2 levels in all investigated groups compared with those in the healthy group. Positive correlations were found between IL-1ß and fasting blood sugar and between creatinine levels and IL-17, HbA1c%, and sodium levels. However, negative correlations were found between IL-33 and urea and sodium concentrations and between Bcl-2 and HbA1c% and creatinine levels. CONCLUSIONS: The present data revealed a marked relationship between Bcl-2, IL-1ß, IL-17, and IL-33 levels and the onset and progression of DN. Understanding the molecular pathways of these processes could be translated into the development of therapeutic strategies.