Hypermagnesemia is associated with poor outcomes during hospitalization.

BACKGROUND: Hypermagnesemia is one of the vital electrolyte disturbances and is associated with such chronic conditions as cardiovascular, endocrinologic, renal diseases, and malignancy. AIM: This study evaluates the association between hypermagnesemia and clinical course in hospitalized patients. METHODS: This study was conducted at the University of Health Sciences Haseki Training and Research Hospital Internal Medicine Clinic. We evaluated a total of 3850 patients. 2130 patients have met the inclusion criteria were included in the study. Those who were discharged with healing were evaluated as having a good prognosis. Patients who died or were transferred to the intensive care unit (ICU) were defined as having a poor prognosis. We divided the patients' serum magnesium levels into four quartiles and examined the clinical course/conditions of the patients. RESULTS: Of 2130 patients, 1013 (51.9%) were female. The mean age of patients with poor prognoses (69.2 ± 14.9) was higher than those with good prognoses (59.7 ± 19.1). Hypermagnesemia (4th quartile) was detected in 61 (33.9%), and hypomagnesemia (1st quartile) was found in 42 (23.3%) patients out of 180 patients with poor clinical outcomes. It was statistically significant that hypermagnesemia was more common in patients with poor prognoses (p: 0.002). Chronic kidney disease (CKD) was diagnosed in 258 (53.3%) of 484 hypermagnesemia patients. Hypermagnesemia was found to be more common in patients with CKD, which was statistically significant (p: 0.003). CONCLUSIONS: Hypermagnesemia is associated with poor prognosis independent of comorbidities. Besides hypomagnesemia, hypermagnesemia should be considered a critical electrolyte imbalance.

Comparison of Controlling Nutritional Status Score with Bedside Index for Severity in Acute Pancreatitis Score and Atlanta Classification for Mortality in Patients with Acute Pancreatitis.

Background/Objectives: Acute pancreatitis (AP) is characterized by pancreatic gland inflammation, and its clinical course ranges from mild to severe. Predicting the severity of AP early and reliably is important. In this study, we investigate the potential use of the Controlling Nutritional Status (CONUT) score as a prognostic marker in acute pancreatitis. Methods: We examined 336 patients who had been hospitalized with an AP diagnosis in the internal medicine clinic. The patients included in the study were followed up for 5 years. The study analyzed the specific variables of age, gender, and AP etiology as recorded biochemical parameters for all study participants and calculated the effects of age, sex, Bedside Index of Severity in AP (BISAP), the revised Atlanta classification, and the CONUT score on mortality. Results: When compared with surviving patients, non-surviving patients had higher scores for BISAP, CONUT, and the Atlanta Classification (p ˂ 0.001). In the non-surviving group, hemoglobin, lymphocyte, and albumin levels were significantly lower and creatinine, uric acid, and procalcitonin levels were significantly higher compared to the surviving group (p ˂ 0.001, 0.003, ˂0.001, ˂0.001, 0.005, ˂0.001, respectively). The multivariate analysis showed a significant association of mortality with age, CONUT, and BISAP scores (p ˂ 0.003, 0.001, 0.012 respectively). The CONUT score was separated into two groups based on the median value. The predicted survival time in the group with a CONUT score > 2 (53.8 months) was significantly lower than in the group with a CONUT score ≤ 2 (63.8 months). The cumulative incidence of all-cause mortality was significantly higher in the patients with higher CONUT scores. Conclusions: This study has assigned the CONUT score as an independent risk factor for mortality in AP.

Systemic Immune-Inflammation and Systemic Inflammation Response Indices are Predictive Markers of Mortality in Inpatients Internal Medicine Services.

Purpose: Internal medicine services serve the patient population with many chronic diseases. Therefore, it is high mortality rates compared to other departments of the hospital. Estimating the prognostic risk of hospitalized patients may be useful in mortality for patients. In this study, we evaluated the level of Systemic Immune Inflammation Index (SII) and Systemic Inflammation Response Index (SIRI) and its association with mortality in inpatients. Patients and methods: This study was performed in 2218 patients who were hospitalized between January 1st-December 31th of 2019. Patients were followed up for three years about primary endpoint as all-cause (except for unnatural deaths) mortality. Participants were divided into 4 equal groups according to their increasing levels of SII and SIRI. (Quartile 1-4) Age, gender, diabetes mellitus, hypertension, coronary artery disease, chronic kidney disease, malignancies (solid), white blood cell, neutrophil, lymphocyte, monocytes, hemoglobin, hematocrit, platelet, CRP, albumin, Systemic Inflammation Response Index (Quartile 1-4), Systemic Immune Inflammation Index (Quartile 1-4) were compared between survival and non-survival groups. Results: There were 1153 female and 1065 male participants enrolled. Compared with surviving patients, patients who died were older and had a higher prevalence of diabetes mellitus, hypertension, malignancy, chronic kidney disease and coronary artery disease (p < 0.001). There was a lower proportion of female patients among the patients who died. Compared to the survivor group, group who died exhibited a significant increase in CRP level, neutrophil, white blood cell and monocyte counts, but had a lower lymphocyte count, albumin level and hemoglobin count (P < 0.001). Results of Cox regression analysis showed that age, chronic kidney disease, malignancy, SIRI quartile 3, 4 and SII quartile 3, 4 pointed out a close relationship with mortality risk. (P < 0.001). Conclusion: The SIRI and SII have indicated the clinical importance of as novel markers for predicting mortality in inpatients.

Serum albumin and FT3/FT4 ratio as additional co-morbidity parameters to predict mortality as a new approach: The Haseki Scoring Index (updated Charlson Comorbidity Index).

BACKGROUND: Charlson Comorbidity Index (CCI) is the common and valid method to predict mortality by classifying comorbidities such as cardiovascular, metabolic, renal, hepatic, pulmonary diseases, and malignancy. Novel risk factors are not included in the Charlson Comorbidity Index, such as thyroid hormone index (FT3/FT4 ratio) and serum albumin levels. In the present study, we aimed to assess whether the thyroid hormone index and albumin are useful clinical parameters in short and long-term mortality. METHODS: In the retrospective cohort study with a 5 year follow up, the data of 1292 patients who were hospitalized between January 1st-June 30th of 2014 were examined. Three months mortality as short term and 5-year mortality as long term were evaluated. RESULTS: Three months and 5 years mortality rates for 1064 patients were analyzed. We showed that hypoalbuminemia and thyroid hormone index had statistically significant effects on short and long-term mortality. According to ROC analysis it was demonstrated that the scoring system including biochemical parameters such as thyroid hormone index and serum albumin level was more significant for 3-month mortality. In addition, both scoring systems are equal in demonstrating long-term mortality. CONCLUSION: Thyroid hormone index and albumin could improve the prognostic performance of the original Charlson Comorbidity Index in short term mortality. The combined score may offer improvements in comorbidity summarization over existing scores.

Evaluation of the Charlson Comorbidity Index and Laboratory Parameters as Independent Early Mortality Predictors in Covid 19 Patients.

Purpose: Various parameters have been proposed to predict the outcome of patients with coronavirus disease. The aim of this study was to evaluate the utility of the age-adjusted CCI score and biochemical parameters for predicting outcomes for COVID-19 patients on admission. Patients and methods: A total of 511 patients were included in the study. Only swab or serological tests positive patients were included. The clinical characteristics of the patients were compared between survival and non-survival COVID-19 inpatients. Hemoglobin, platelet, sedimentation, creatinine, AST, ALT, LDH, CK, albumin, ferritin, lymphocyte, neutrophil, CRP (1-5;5-10;10-20 × upper limit), procalcitonin (5-10;10-20; > 20 × upper limit), D Dimer (> 2 × upper limit), age, gender, chronic diseases and CCI scores were compared between the two groups. Results: 68 patients died and 443 patients survived. Mean age was 74.3±7.3 years in survival group and 76.7±8.0 in nonsurvival group. Age, male sex, ischemic heart disease (CHD), chronic kidney disease and active malignancy was statistically higher in non-survivor group. The biochemical parameters was compared in survival and nonsurvival group. CCI score, AST, LDH, CK, Ferritin, CRP are significantly higher and albumin, lymphocyte levels are significantly lower in nonsurvival group. D-dimer and procalcitonin levels are significantly higher in nonsurvival group. CCI score and neutrophil, creatinine, ALT, AST, d-dimer and procalcitonin elevations were correlated. Low albumin and lymphocyte levels were correlated with the CCI score. There was no significant correlation between ferritin, sedimentation, CRP levels and CCI score. A multivariate logistic regression analysis indicated that anaemia, elevated CRP (> 10-20 × upper limit), procalcitonin (> 5-10 × upper limit), ALT, AST levels and higher CCI score were independent risk factors for mortality in COVID-19 patients. Conclusion: Anaemia, elevated CRP, procalcitonin levels, ALT, AST levels and higher CCI score were found independent risk factors for mortality in COVID-19 patients.