Hyponatremia is a marker of disease severity in HIV-infected patients: a retrospective cohort study

Prevalence Rates and Outcomes of Hyponatremia in Patients with Crimean-Congo Hemorrhagic Fever

Background: In the study, we aimed to determine the prevalence rate of hyponatremia in patients with Crimean-Congo hemorrhagic fever (CCHF) and to investigate the relationship between hyponatremia and disease severity. Materials and Methods: Patients over 18 years of age who received a definitive diagnosis of CCHF between April 2018 and October 2023 were included in the study. The patients' sodium levels, symptoms, and findings at the time of admission to the hospital were recorded. In addition, the severity score index was calculated according to the laboratory values and findings at the time of admission. Results: The total number of patients included in the study was 219. Hyponatremia was detected at admission in 99 (45.2%) patients. The median serum sodium value in patients with hyponatremia was 133 (127-135) mEq/L. Spearman correlation analysis revealed a statistically significant inverse correlation between serum sodium level and severity score index (r = -0.522, p < 0.001). Conclusions: Mild hyponatremia was detected in almost half of the patients with CCHF, and this parameter may be useful in determining disease severity on admission.

Evaluation of hyponatremia among older adults exposed to selective serotonin reuptake inhibitors and thiazide diuretics

OBJECTIVE

Hyponatremia is a common electrolyte disorder among older adults that can cause serious adverse effects. The purpose of this study was to assess the risk of hyponatremia with the concurrent use of selective serotonin reuptake inhibitors (SSRIs) and thiazide diuretics in an older population.

METHODS

Two retrospective nested case-control studies were conducted with exposure to an SSRI or a thiazide diuretic. Persons of interest were those enrolled in Medicare and who received parts A, B, and D benefits from 2017 to 2019 and who were receiving either an SSRI or thiazide diuretic. Cases were individuals with a diagnosis of hyponatremia. Controls had no documented history of hyponatremia. A logistic regression was conducted to determine the odds of hyponatremia.

RESULTS

Of the 551,298 patients receiving a SSRIs, the mean age was 77.8 years (Standard Deviation (SD) ± 8.0 years), 69% were female, and 91.23% were classified as White. We identified 701,007 individuals receiving a thiazide diuretic, with a mean age of 77.1 years (SD ± 7.2 years), 60.2% female, and 82.72% White. The prevalence of hyponatremia was 10.4% in patients taking thiazides alone and 9.0% in those taking SSRIs alone. On the other hand, patients on both medications had a hyponatremia prevalence of approximately 13.0%. Among SSRI users, the adjusted odds ratio (OR) of hyponatremia with concomitant use of thiazide diuretics was 1.24 (95% Confidence Interval (CI): 1.22-1.26). For thiazide users, the adjusted OR of hyponatremia with exposure to SSRIs was 1.27 (95% CI:1.24-1.29).

CONCLUSION

The concurrent use of thiazide diuretics and SSRIs is associated with an increased risk of hyponatremia in older populations.

CARDS, a Novel Prognostic Index for Risk Stratification and In-Hospital Monitoring

Background: Sodium fluctuation is independently associated with clinical deterioration. We developed and validated a prognostic index based on sodium fluctuation for risk stratification and in-hospital monitoring. Methods: This study included 33,323 adult patients hospitalized at a tertiary care hospital in 2014. The first 28,279 hospitalizations were analyzed to develop the model and then the validity of the model was tested using data from 5044 subsequent hospitalizations. We predict in-hospital mortality using age, comorbidity, range of sodium fluctuation, and duration of sodium fluctuation, abbreviated as CARDS. Results: In-hospital mortality was similar in the derivation (0.6%) and validation (0.4%) cohorts. In the derivation cohort, four independent risk factors for mortality were identified using logistic regression: age (66-75, 2 points; >75, 3 points); Charlson comorbidity index (>2, 5 points); range of sodium fluctuation (7-10, 4 points; >10, 10 points); and duration of fluctuation (≤3, 3 points). The AUC was 0.907 (95% CI: 0.885-0.928) in the derivation cohort and 0.932 (95% CI: 0.895-0.970) in the validation cohort. In the derivation cohort, in-hospital mortality was 0.106% in the low-risk group (0-7 points), 1.076% in the intermediate-risk group (8-14 points), and 8.463% in the high-risk group (15-21 points). In the validation cohort, in-hospital mortality was 0.049% in the low-risk group, 1.064% in the intermediate-risk group, and 8.403% in the high-risk group. Conclusions: These results suggest that patients at low, intermediate, and high risk for in-hospital mortality may be identified by CARDS mainly based on sodium fluctuation.

HIV-1 Vpr suppresses expression of the thiazide-sensitive sodium chloride co-transporter in the distal convoluted tubule

HIV-associated nephropathy (HIVAN) impairs functions of both glomeruli and tubules. Attention has been previously focused on the HIVAN glomerulopathy. Tubular injury has drawn increased attention because sodium wasting is common in hospitalized HIV/AIDS patients. We used viral protein R (Vpr)-transgenic mice to investigate the mechanisms whereby Vpr contributes to urinary sodium wasting. In phosphoenolpyruvate carboxykinase promoter-driven Vpr-transgenic mice, in situ hybridization showed that Vpr mRNA was expressed in all nephron segments, including the distal convoluted tubule. Vpr-transgenic mice, compared with wild-type littermates, markedly increased urinary sodium excretion, despite similar plasma renin activity and aldosterone levels. Kidneys from Vpr-transgenic mice also markedly reduced protein abundance of the Na⁺-Cl^- cotransporter (NCC), while mineralocorticoid receptor (MR) protein expression level was unchanged. In African green monkey kidney cells, Vpr abrogated the aldosterone-mediated stimulation of MR transcriptional activity. Gene expression of Slc12a3 (NCC) in Vpr-transgenic mice was significantly lower compared with wild-type mice, assessed by both qRT-PCR and RNAScope in situ hybridization analysis. Chromatin immunoprecipitation assays identified multiple MR response elements (MRE), located from 5 kb upstream of the transcription start site and extending to the third exon of the SLC12A3 gene. Mutation of MRE and SP1 sites in the SLC12A3 promoter region abrogated the transcriptional responses to aldosterone and Vpr, indicating that functional MRE and SP1 are required for the SLC12A3 gene suppression in response to Vpr. Thus, Vpr attenuates MR transcriptional activity and inhibits Slc12a3 transcription in the distal convoluted tubule and contributes to salt wasting in Vpr-transgenic mice.

SARS-CoV-2 Infection Is Associated with Uncontrolled HIV Viral Load in Non-Hospitalized HIV-Infected Patients from Gugulethu, South Africa

In South Africa, high exposure to SARS-CoV-2 occurs primarily in densely populated, low-income communities, which are additionally burdened by highly prevalent Human Immunodeficiency Virus (HIV). With the aim to assess SARS-CoV-2 seroprevalence and its association with HIV-related clinical parameters in non-hospitalized patients likely to be highly exposed to SARS-CoV-2, this observational cross-sectional study was conducted at the Gugulethu Community Health Centre Antiretroviral clinic between October 2020 and June 2021, after the first COVID-19 wave in South Africa and during the second and beginning of the third wave. A total of 150 adult (median age 39 years [range 20−65 years]) HIV-infected patients (69% female; 31% male) were recruited. 95.3% of the cohort was on antiretroviral therapy (ART), had a median CD4 count of 220 cells/µL (range 17−604 cells/µL) and a median HIV viral load (VL) of 49 copies/mL (range 1−1,050,867 copies/mL). Furthermore, 106 patients (70.7%) were SARS-CoV-2 seropositive, and 0% were vaccinated. When stratified for HIV VL, patients with uncontrolled HIV viremia (HIV VL > 1000 copies/mL) had significantly higher odds of SARS-CoV-2 seropositivity than patients with HIV VL < 1000 copies/mL, after adjusting for age, sex and ART status (p = 0.035, adjusted OR 2.961 [95% CI: 1.078−8.133]). Although the cause−effect relationship could not be determined due to the cross-sectional study design, these results point towards a higher risk of SARS-CoV-2 susceptibility among viremic HIV patients, or impaired HIV viral control due to previous co-infection with SARS-CoV-2.

Correlation between Hyponatremia and Cluster of Differentiation 4 in Response to Highly Active Antiretroviral Therapy Treatment in Patients with Human Immunodeficiency Virus Cerebral Toxoplasmosis

BACKGROUND: The proportion of HIV patients with hyponatremia was significantly higher in hospital compared to those without hyponatremia. HIV patients with hyponatremia had significantly lower CD4 cell counts, about twice the HIV viral load and an approximately four-fold higher prevalence. Hyponatremia was positively correlated with a decrease in CD4 cell count. AIM: The aim of this study was to determine the correlation between hyponatremia and CD4 cells in response to HAART treatment in patients with HIV cerebral toxoplasmosis. METHODS: The design of this study was correlative analytic with retrospective data collection method with secondary data sources obtained from the medical records of HIV-toxoplasma cerebral patients with hyponatremia at Haji Adam Malik Hospital Medan who met the inclusion and exclusion criteria and were included in this study. The research started from December 2021 to January 2022. RESULT: This study was conducted on 30 samples of medical records consisting of 24 males and six females with a mean (min-max) age of 36.1 (23–53). There were 28 subjects (83.3%) with an effective response to treatment and two subjects (6.6%) with a less effective response to treatment. There was a significant correlation between hyponatremia and CD4 cells in response to HAART treatment (p < 0.005; r = 0.0462). There was a significant correlation between hyponatremia and CD4 cell count before receiving HAART treatment (p < 0.005; r = 0.0526). CONCLUSION: There is a significant correlation between hyponatremia and CD4 cells in response to HAART treatment in patients with HIV cerebral toxoplasmosis.

Serum electrolytes and renal alterations in HIV-seropositive Mexican subjects

To examine potential risk factors associated with biochemical alterations in renal function in a population diagnosed with HIV/AIDS undergoing antiretroviral treatment.This is an observational, transversal, and relational design study that included 179 HIV-seropositive subjects. Glucose serum, cholesterol, triglycerides, total proteins, albumin, creatine, urea, blood urea nitrogen (BUN), and electrolytes levels were determined for each individual. Renal function was evaluated through the glomerular filtration rate (GFR), using the CKD-EPI equation. Chronic kidney disease (CKD) was defined as estimated glomerular filtration rate  < 60 mL/min/1.73 m2. Univariate model significant variables, with a 95% confidence interval (CI), were included in a multivariate logistic regression analysis.CKD prevalence in patients was 7.3%, with comorbidities of 7.8% for type 2 diabetes mellitus, 7.3% for arterial hypertension, and 35.2% for dyslipidemia. Additionally, both hypernatremia and hypophosphatemia were detected in 57% (n = 102) of the patients. Multivariate logistic regression suggested that CD4+ T cell count < 200 (P = .02; OR 0.2; CI 95% 0.08-0.8) was associated to hyponatremia; similarly, detectable viral load was associated to hypokalemia (P = .02; OR 5.1; CI 95% 1.2-21.3), hypocalcemia (P = .01; OR 4.1; CI 95% 1.3-12.3), and hypermagnesemia (OR 3.9; CI 95% 1.1-13.6). Patient age was associated to both hypophosphatemia (P = .01; OR 2.4; CI 95% 1.1-5.0) and hypermagnesemia (P = .01; OR 2.8; IC 95% 1.1-7.0), and high creatinine levels were associated to nucleoside reverse transcriptase inhibitor treatment (P = .001; OR 42.5; CI 95% 2.2-806.9). Lastly, high BUN levels were associated to age (P = .03; OR 3.8; CI 95% 1.0-14.4), while GFR 60 to 89 mL/min/1.73 m2 was associated to dyslipidemia (P = .02; OR 2.2; CI 95% 1.1-4.5).CD4+ T cell and viral load were the main factors associated with renal biochemical alterations.

HIV and the Pituitary Gland: Clinical and Biochemical Presentations

Human immunodeficiency virus (HIV) can have profound impact on the function of the pituitary gland. We have performed an electronic literature search using the following database: PubMed, Medline, Scopus, and Google Scholar. These databases were searched using the keywords HIV, pituitary glands, cancer, pituitary apoplexy, and infertility. HIV can cause hypopituitarism and also can lead to diabetes insipidus. The impact can be slow and insidious, and diagnosis depends on high index of clinical suspicion. The effect on anterior pituitary gland can be associated with growth hormone deficiency, hypothyroidism, adrenal insufficiency, premature menopause, erectile dysfunction, and infertility. HIV can cause pituitary apoplexy, and this should be treated as an endocrine emergency. Importantly, HIV can be associated with pituitary lymphoma and pituitary cancer. Therefore, joined management between HIV physicians, clinical biochemists and endocrinologists may help in establishing pituitary dysfunction.

The spectrum of electrolyte abnormalities in black African people living with human immunodeficiency virus and diabetes mellitus at Edendale Hospital, Pietermaritzburg, South Africa

Background

Serum electrolyte abnormalities in black African people living with human immunodeficiency virus (HIV) and diabetes mellitus (PLWH/DM) is unknown.

Objectives

The aim of this study was to analyse serum electrolytes (sodium, potassium, calcium and phosphate) and factors associated with electrolyte abnormalities in black African PLWH/DM versus HIV-uninfected patients with DM.

Methods

We conducted a retrospective case-control study in 96 black African PLWH/DM (cases) and 192 HIV-uninfected patients with DM (controls), who were visiting the Edendale Hospital DM clinic, from 01 January 2016 to 31 December 2016. Pearson’s correlation, multivariate linear and logistic regression analyses were utilised.

Results

Hypocalcaemia was the most frequent electrolyte abnormality in PLWH/DM and HIV-uninfected patients with DM (31.25% vs. 22.91%), followed by hyponatraemia (18.75% vs. 13.54%). Median (IQR) corrected serum calcium levels were significantly lower in PLWH/DM compared with HIV-uninfected patients with DM (2.24 [2.18–2.30] mmol/L vs. 2.29 [2.20–2.36] mmol/L; p = 0.001). For every per cent increase in glycated haemoglobin, the odds of hyponatraemia significantly increased in both PLWH/DM (odds ratio [OR]: 1.55; 95% confidence interval [CI]: 1.19 –2.02; p = 0.003) and HIV-uninfected patients with DM (OR: 1.26; 95% CI: 1.04 –1.54; p = 0.009).

Conclusion

Hypocalcaemia and hyponatraemia were the most frequent electrolyte abnormalities and occurred more frequently in PLWH/DM compared with HIV-uninfected patients with DM. People living with HIV and DM have significantly lower corrected serum calcium levels compared with HIV-uninfected patients with DM. Furthermore, hyponatraemia is a marker of impaired glycaemic control.

Hyponatremia in Infectious Diseases-A Literature Review

Hyponatremia is one of the most common water-electrolyte imbalances in the human organism. A serum sodium concentration threshold of less than 135 mmol/L is diagnostic for hyponatremia. The disorder is usually secondary to various diseases, including infections. Our review aims to summarize the diagnostic value and impact of hyponatremia on the prognosis, length of the hospitalization, and mortality among patients with active infection. The scientific literature regarding hyponatremia was reviewed using PubMed, ClinicalKey, and Web of Science databases. Studies published between 2011 and 2020 were screened and eligible studies were selected according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement and specific inclusion criteria. The most common infections that were associated with hyponatremia were viral and bacterial infections, including COVID-19 (coronavirus disease 2019). The etiology varied according to the infection site, setting and patient cohort it concerned. In several studies, hyponatremia was associated with prolonged hospitalization, worse outcomes, and higher mortality rates. Hyponatremia can also play a diagnostic role in differentiating pathogens that cause a certain infection type, as it was observed in community-acquired pneumonia. Although many mechanisms leading to hyponatremia have already been described, it is impossible with any certainty to ascribe the etiology of hyponatremia to any of them.

Trends and Adaptive Optimal Set Points of CD4+ Count Clinical Covariates at Each Phase of the HIV Disease Progression

In response to invasion by the human immunodeficiency virus (HIV), the self-regulatory immune system attempts to restore the CD4+ count fluctuations. Consequently, many clinical covariates are bound to adapt too, but little is known about their corresponding new optimal set points. It has been reported that there exist few strongest clinical covariates of the CD4+ count. The objective of this study is to harness them for a streamlined application of multidimensional viewing lens (statistical models) to zoom into the behavioural patterns of the adaptive optimal set points. We further postulated that the optimal set points of some of the strongest covariates are possibly controlled by dietary conditions or otherwise to enhance the CD4+ count. This study investigated post-HIV infection (acute to therapy phases) records of 237 patients involving repeated measurements of 17 CD4+ count clinical covariates that were found to be the strongest. The overall trends showed either downwards, upwards, or irregular behaviour. Phase-specific trends were mostly different and unimaginable, with LDH and red blood cells producing the most complex CD4+ count behaviour. The approximate optimal set points for dietary-related covariates were total protein 60-100 g/L (acute phase), <85 g/L (early phase), <75 g/L (established phase), and >85 g/L (ART phase), whilst albumin approx. 30-50 g/L (acute), >45 g/L (early and established), and <37 g/L (ART). Sodium was desirable at approx. <45 mEq/L (acute and early), <132 mEq/L (established), and >134 mEq/L (ART). Overall, desirable approximates were albumin >42 g/L, total protein <75 g/L, and sodium <137 mEq/L. We conclude that the optimal set points of the strongest CD4+ count clinical covariates tended to drift and adapt to either new ranges or overlapped with the known reference ranges to positively influence the CD4+ cell counts. Recommendation for phase-specific CD4+ cell count influence in adaptation to HIV invasion includes monitoring of the strongest covariates related to dietary conditions (sodium, albumin, and total protein), tissue oxygenation (red blood cells and its haematocrit), and hormonal control (LDH and ALP).

An Evaluation to Determine the Strongest CD4 Count Covariates during HIV Disease Progression in Women in South Africa

INTRODUCTION

Past endeavours to deal with the obstacle of expensive Cluster of Difference 4 (CD4+) count diagnostics in resource-limited settings have left a long trail of suggested continuous CD4+ count clinical covariates that turned out to be a potentially important integral part of the human immunodeficiency virus (HIV) treatment process during disease progression. However, an evaluation to determine the strongest candidates among these CD4+ count covariates has not been well documented.

METHODS

The Centre for the AIDS Programme of Research in South Africa (CAPRISA) initially enrolled HIV-negative (phase 1) patients into different study cohorts. The patients who seroconverted (237) during follow-up care were enrolled again into a post-HIV infection cohort where they were further followed up with weekly to fortnightly visits up to 3 months (phase 2: acute infection), monthly visits from 3-12 months (phase 3: early infection) and quarterly visits thereafter (phase 4: established infection) until antiretroviral therapy (ART) initiation (phase 5). The CD4+ count and 46 covariates were repeatedly measured at each phase of the HIV disease progression. A multilevel partial least squares approach was applied as a variable reduction technique to determine the strongest CD4+ count covariates.

RESULTS

Only 18 of the 46 investigated clinical attributes were the strongest CD4+ count covariates and the top 8 were positively and independently associated with the CD4+ count. Besides the confirmatory lymphocytes, these were basophils, albumin, haematocrit, alkaline phosphatase (ALP), mean corpuscular volume (MCV), platelets, potassium and monocytes. Overall, electrolytes, proteins and red blood cells were the dominant categories for the strongest covariates.

CONCLUSION

Only a few of the many previously suggested continuous CD4+ count clinical covariates showed the potential to become an important integral part of the treatment process. Prolonging the pre-treatment period of the HIV disease progression by effectively incorporating and managing the covariates for long-term influence on the CD4+ cell response has the potential to delay challenges associated with ART side effects.

Covariate random effects on the CD4 count variation during HIV disease progression in women

Purpose: To investigate the variation in CD4 count between HIV positive patients due to clinical covariates at each phase of the HIV disease progression. Patients and methods: The Centre for the AIDS Programme of Research in South Africa (CAPRISA) conducted different studies in which female patients were initially enrolled in HIV negative cohorts (phase 1). Seroconverts were further followed-up weekly to fortnightly visits up to 3 months (phase 2: acute infection), monthly visits from 3 to 12 months (phase 3: early infection), quarterly visits thereafter (phase 4: established infection) until antiretroviral therapy (ART) initiation (phase 5). Results: Eighteen out of the 46 CD4 count covariates investigated were significant. Low average CD4 counts at acute and early phase entry improved at a faster rate than entries at higher average CD4 count. During therapy, all the 18 covariates induced significantly different patients' average CD4 counts. The rate of change of CD4 count greatly varied in response to lactate dehydrogenase during the acute phase. Red blood cells increase resulted in the patients' CD4 counts approaching a common higher level during the early phase. During therapy, the already high CD4 counts improved faster than lower ones in response to the red blood cells increase. As the monocytes increased, patients with lower average CD4 counts became worse than those with higher average CD4 counts. Conclusion: Changes in the covariates measurements either induced no variation effects in certain phases or improved the CD4 count at a faster rate for those patients whose average CD4 was already high or worsen the CD4 level which was already low or caused the patients' CD4 counts to approach the same level - higher or lower than the general cohort. The studied covariates induced wide variations in the CD4 count between HIV positive patients during the ART phase.