Background Acute pancreatitis (AP) is a condition with various etiological factors, marked by the sudden onset of inflammation in the pancreatic tissue. Predicting the severity and potential mortality of AP involves analyzing clinical data alongside laboratory tests and imaging. Among several grading methods with strong predictive capabilities for illness severity and mortality, the Bedside Index for Severity in Acute Pancreatitis (BISAP) score is notable. This study aims to explore the potential role of laboratory markers, specifically red cell distribution width (RDW), RDW/platelet (PLT) ratio, and mean platelet volume (MPV), in predicting disease severity, with patients being stratified according to the BISAP scoring system. Materials and methods This research included 161 patients hospitalized at Cantonal Hospital Zenica in Zenica, Bosnia and Herzegovina, with a diagnosis of AP. The BISAP score was determined based on laboratory and radiological analyses. This score was used to evaluate potential correlations between laboratory findings such as RDW, RDW/PLT ratio, and MPV. Results The age range was significantly higher in patients with BISAP scores ≥3 (68 years, 64-76) compared to those with BISAP scores <3 (59.5 years, 42.75-69) (p = 0.000). RDW values were also significantly higher in patients with BISAP scores ≥3 (15.6%, 14-16.9) compared to those with BISAP scores <3 (13.5%, 13-14.1) (p = 0.000). Hospital stay duration was significantly longer for patients with BISAP scores ≥3 (9 days, 6-11) compared to those with BISAP scores <3 (5 days, 5-7) (p = 0.000). Additionally, the RDW/PLT ratio was significantly lower in patients with BISAP scores <3 (0.063 ± 0.02) compared to those with BISAP scores ≥3 (0.09 ± 0.059) (p = 0.012). Conclusion Our results indicate a significant difference in RDW/PLT ratios between patient severity groups based on BISAP scores (scores <3 vs. ≥3). This suggests that the RDW/PLT ratio may serve as a useful predictor for assessing the severity of AP. However, further research is needed to explore the full potential of the RDW/PLT ratio in evaluating AP patients.

Aim: To assess Red blood cell Distribution Width (RDW) and platelet indices values in patients with type 2 diabetes mellitus (T2DM) and to verify its association with kidney dysfunction (KD). Patients and Methods: A cross-sectional study included 149 T2DM subjects divided into two groups with (T2DM – KD; n=52) and without (T2DM-nKD; n=97) presence of kidney dysfunction and 30 healthy subjects. White Blood Cells (WBC) count, C-reactive protein (CRP), fibrinogen, RDW, platelet indices, urea, and creatinine, were measured in all participants. Kidney function was evaluated by the estimated glomerular filtration rate (eGFR) calculated using the simplified Modification of Diet in Renal Disease (MDRD) formula. Results: T2DM-KD subjects showed statistically significantly higher values of the parameters RDW (p<0.01), Mean Platelet Volume - MPV (p<0.01), Platelet Distribution Width-PDW (p<0.01), Platelecrit-PCT (p<0.01), and Platelet Mass Index-PMI (p<0.01) compared to T2DM-nKD subjects, and statistically significantly lower values of the WBC count in T2DM-KD subjects compared to subjects suffering from T2DM without kidney dysfunction (p<0.01). ROC curve analysis revealed that RDW (sensitivity of 80.8%, specificity of 78.3%), MPV (sensitivity of 75%, specificity of 78.4 %), and PDW (sensitivity of 80.8%, specificity of 83.5%) could be used as markers in distinguishing between T2DM subjects with and without kidney dysfunction. Conclusion: This study confirms the reliability of the RDW,MPV, and PDW as simple, low cost and useful markers in distinguishing between T2DM subjects with and without kidney dysfunction.

Introduction: Despite ongoing findings on the relationship between liver fibrosis in nonalcoholic fatty liver disease (NAFLD) and metabolic syndrome (MetS), this association in diabetic patients remains unclear. Early diagnosis of liver fibrosis is important due to the easily available diagnostic tools, such as noninvasive indices that combine clinical and laboratory variables, and the possibility of preventing its complications in type 2 diabetes mellitus (T2DM) patients with MetS. Objective: This study examines the potential predictive values of non-invasive liver fibrosis indices for MetS in T2DM patients. Patients and methods: Over the course of a two-year prospective, observational, clinical study, 80 individuals with T2DM randomly selected from the Diabetes Counseling Centers of the Public Institution Health Center of Sarajevo Canton were divided into two groups: T2DM-MetS and T2DM-non-MetS, based on the development of MetS. The study included individuals with T2DM aged 30 to 60 who were clinically diagnosed without MetS, voluntarily agreed to participate, and provided complete data in the collection forms. Serum samples from the patients were assessed for levels of liver enzymes, platelet counts, total cholesterol, high-density lipoprotein cholesterol, fasting glucose, and triglycerides. Various equations were utilized to calculate liver fibrosis indices, including the Aspartate Aminotransferase to Platelet Ratio Index (APRI), Aspartate Aminotransferase to Gamma-Glutamyl Transferase to Platelet Ratio (AGPR), Aspartate Aminotransferase to Alanine Aminotransferase Ratio to Platelet Ratio Index (AARPRI), Fibrosis-4 (FIB-4) Index, Forns Index, and Gamma-Glutamyl Transpeptidase to Platelet Ratio (GPR). Receiver operating characteristic (ROC) analysis was utilized to determine the usefulness of noninvasive liver fibrosis indices for diagnosing MetS in individuals with T2DM. Logistic regression analysis was used to predict the onset of MetS in T2DM patients. Results: Significant differences in the values of APRI (p<0.001), AGPR (p<0.05), AARPRI (p<0.001), and the FIB-4 index (p=0.001) were observed in T2DM-MetS individuals compared to T2DM-non-MetS. According to ROC analysis, the area under the curve (AUC) was found to be highest for APRI (0.84), followed by FIB-4 (0.783) and AARPRI (0.747). Logistic regression analysis identified APRI as an independent positive predictor of MetS (OR 18.179, 95% CI 6.035-24.58, p=0.015). Conclusion: This research highlights the effectiveness of the APRI index as a reliable predictor of MetS development in individuals with T2DM.

BACKGROUND Metabolic syndrome (MetS) is a group of comorbidities related to regulating hyperglycemia and acute cardiovascular incidents and complications. With the increasing prevalence in individuals with type 2 diabetes mellitus (T2DM), MetS represents an increasing public health problem and clinical challenge, and early diagnosis is necessary to avoid the accelerated development of diabetic complications. OBJECTIVE To investigate the role of Complete Blood Count-derived Inflammation Indexes (CBCIIs) in predicting MetS in T2DM individuals. METHODS The study was designed as a two-year prospective study and included 80 T2DM individuals divided into MetS and non-MetS groups based on MetS development over two years. The sera samples were analyzed for complete blood count parameters and C-reactive protein (CRP). Based on the laboratory test results, 13 CBCIIs were calculated and analyzed. The receiver operating characteristic (ROC) curve and their corresponding areas under the curve (AUC) were used to determine prognostic accuracy. RESULTS There were significant differences between T2DM participants with Mets and those without MetS concerning Neutrophil to Platelet Ratio (NPR) values (p< 0.001), Neutrophil to Lymphocyte and Platelet Ratio (NLPR) (p< 0.001), Platelet to Lymphocyte Ratio (PLR) (p< 0.001), Lymphocyte to C-reactive protein Ratio (LCR) (p< 0.001), C-reactive protein to Lymphocyte Ratio (CRP/Ly) (p< 0.001), Systemic immune inflammation index (SII) (< 0.001), and Aggregate Index of Systemic Inflammation (AISI) (p= 0.005). The results of ROC curve analysis have shown that the LCR (AUC of 0.907), CRP/Ly (AUC of 0.907) can serve as excellent predictors, but NPR (AUC of 0.734), NLRP (AUC of 0.755), PLR (AUC of 0.823), SII (AUC of 0.745), and AISI (AUC of 0.688) as good predictors of MetS in T2 DM individuals. CONCLUSION This study confirms the reliability of the CBCIIs as novel, simple, low cost and valuable predictors of MetS developing in T2DM.

Background: Cognitive dysfunctions are often presented as a symptom in multiple sclerosis which is associated with both structural and functional imapirments of neuronal networks in the brain. Objective: The aim of the study was to evaluate the influence of dysability, duration and type of disesase on cognitive functions in multiple sclerosis patients. Methods: This study included 60 MS patients treated at the Department of Neurology, Clinical Center University of Sarajevo. Inclusion criteria were clinically definite diagnosis of multiple sclerosis, 18 years of age or older and were able to give written informed consent. Cognitive function was evaluated by the Montreal Cognitive Assessment (MoCa) screening test. Mann-Whitney and Kruskal-Wallis test were used for comparisons between clinical characteristics and MoCa test scores. Results: Out of 63.33% of patients had EDSS <=4.5. Disease lasted longer than 10 years in 30% of patients. 80% had relapsing-remitting MS and 20% had secondary progressive MS. 84,2 % of patients with EDSS ≤ 4.5 had cognitive dysfunction. Higher disability (rho=0,306, p<0,05), progressive type of disease (rho=0,377, p< 0,01) and longer disease duration (rho=0,282, p<0,05) were associated with worse overall cognitive functions. Level of disability showed statistical significant correlation with the executive functions and language domains of cognition (p<0.01). Longer disease duration was significant correlated with executive functions (p<0,01) and language domains (p<0,01), while progressive type of disease was signifacant correlated only with executive functions domain (p<0,01). MoCa score variables did not show a statistically significant difference in relation to the number of relapses per year and the use of imunoterapy. Statistically significant negative correlation was obtained between executive functions domain and level of disability, disease duration and progressive type of disease, while language domain significantly correlated only with disability level and progressive type of disease. Conclusion: High percentage of MS patients has cognitive impairment. Patients with higher disability were presented with lower cognitive abilities, especially in executive functions and language domains. Higher frequency of cognitive impairment were presented in progessive forms of disaese and longer disease duration with strong influence on executive functions domains of cognition.

Aim To identify clinical and laboratory parameters on admission and/or during a hospital stay that would predict prolonged hospital stay in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods A retrospective cross-sectional study was conducted at the Clinic for Pulmonary Diseases and Tuberculosis, Clinical Centre University of Sarajevo for the period 2019-2021 accounting patients admitted due to AECOPD. The need for hospitalization was evaluated according to the current GOLD criteria and certain clinical parameters. Spirometry testing and laboratory analysis were performed for all patients on the day of admission and on the 10th day of hospital stay. Linear regression was used to show the relationship between multiple independent predictor variables and LOS. Results A total of 50 patients were evaluated during their hospital stay due to AECOPD. Median of LOS was 22.02±1.06, with 90% hospital survival rate. Due to AECOPD the median of LOS in the intensive care unit (ICU) was 4±0.68 days with pH<7.35 in 34% of hospitalized patients. According to spirometry classification on the day of admission, 56% of patients were assigned to group 3 and 16% to group 4 with significant improvement identified on spirometry findings on discharge. Platelets on the day of admission were the only statistically significant positive predictors of the length of hospital stay. Conclusion Identifying chronic obstructive pulmonary disease patients at risk of frequent exacerbations and appropriate disease management could reduce the disease burden.

Background: Metabolic syndrome (MetS) denotes a cluster of co-occurring medical conditions associated with regulating hyperglycemia and acute cardiovascular events and complications. The escalating frequency of MetS among individuals afflicted with type 2 diabetes mellitus (T2DM) underscores its burgeoning significance as a critical public health concern and a complex clinical conundrum. Timely identification is imperative to avert the expedited progression of diabetic complications. Objective: To investigate the role of CRP/HDL-C and Monocyte/HDL ratios in predicting MetS in T2DM individuals. Methods: The study was designed as a two-year prospective study and included 80 T2DM patients divided into MetS and non-MetS groups based on MetS development over two years. The patients’ serums were analyzed for complete blood count parameters, lipid profile, and C-reactive protein (CRP). Based on the laboratory test results, Monocyte/HDL-C and CRP/HDL-C ratios were calculated and analyzed. The receiver operating characteristic (ROC) curve and their corresponding areas under the curve (AUC) were used to determine prognostic accuracy. Results: Monocyte/HDL-C ratio and CRP/HDL-C ratio were significantly higher in MetS-T2DM2 than in nonMetS-T2DM (p=0.003 and p=0.029, respectively). The results of ROC curve analysis have shown that the CRP/HDL-C ratio (AUC of 0.695) and Monocytes/HDL-C ratio (AUC of 0.645) can serve as good predictors of MetS in T2DM patients. Conclusion: This study confirms the reliability of the Monocytes/HDL-C and CRP/HDL-C ratios as novel, simple, low-cost, and valuable predictors of MetS development in T2DM.

Background: Acute pancreatitis (AP) is an acute inflammatory illness of the pancreas representing a true question in diagnostic process. Laboratory markers of the hepatobiliary tract such as liver transaminases with pancreatic enzymes give a true hint of a hidden diagnosis together with urea, creatinine and creatine kinase (CK). Objective: This clinical study aims to show whether there is any correlation between alpha-amylase and CK or their ratio examining hospitalized patients with AP diagnosis. Methods: From total number of 99 patients with a clinical picture of AP, 71 patients in this retrospective analysis (including both genders) were included according to the presence of two biochemical markers in collected laboratory analysis at admission and 72 hours later on a laboratory check-up: CK and alpha-amylase. Results: The median CK value of AP cases was 92 (41.75 – 207.25) in the acute period and 73 (37 – 159) after 72h staying in the hospital without statistical significant (p=0.521; p<0.05). However, there was a statistically significant correlation between the parameters of CK at admission and creatine kinase after 72h staying in the hospital. The median value of CK/Amylase ratio in the acute period was 0.168 (0.069 – 0.532) and 0.386 (0.12 – 1.12) after 72 hours of staying in the hospital. There was a statistically significant difference between values of CK/amylase ratio in these two groups (p=0.000; p<0.01). Conclusion: In conclusion, a connection between CK and alpha-amylase needs to be elucidated in further studies and its existence must be researched both in physiological and pathophysiological conditions, and it is two-way and very complex. This study helped us obtain significant information about the perspective of AP in the potential relation to other non-standard laboratory markers for some diseases

Background: Multiple sclerosis is a a complex diesase that may be presented by different neurological symptoms causing impairment of physical, psychological and cognitive functions. Objective: The aim of the study was to evaluate the influence of sociodemographic characteristics on cognitive functions in multiple sclerosis patients. Methods: This study included 60 MS patients treated at the Department of Neurology, Clinical Center University of Sarajevo. Inclusion criteria were clinically definite diagnosis of multiple sclerosis, 18 years of age or older and were able to give written informed consent. Cognitive function was evaluated by the Montreal Cognitive Assessment (MoCa) screening test. Mann-Whitney and Kruskal-Wallis test were used for comparisons between sociodemographic characteristics and MoCa test scores. Results: 76.66% were female patients. Average age of patients was 44.5 years. 70% of patients were married. 73,33% of patients had a high school degree, 20% had a college degree while only 6,66% had primary education. 38,33% of patients were employed, 33,33% were unemployed and 28,33% retired. 88.33% of patients had cognitive impairment, 68.33% having mild cognitive impairment. Executive functions (53,66%) and delayed recall (28,33%) were rated the worst. The median value of the Naming and Language MoCa domains of cognition showed statistical significant correlation with level of education (p<0.05; p<0.01).The mean value of the Language variable was statistically significantly lower in respondents aged 35 and over compared to respondents younger than 35 years (p=0,003;p<0,01), Statistically significant correlation was found between the level of education and cognitive status (rho=0,276,p<0,05), while the other variables (gender, age, marital status and employment ) did not show a statistically significant corellation. Conclusion: High perecentage of MS patients has cognitive impairment. Executive functions are rated the worst. Education is the major factor that contribute to better cognitive functioning in MS patients independent of age or employment status. The highest correlation is found between language and naming domains of cognition. Gender did not prove to be predictive factor of cognition in multiple sclerosis patients at any domain.

Introduction: Diabetes mellitus type 2 (T2DM) significantly increase the risk of cardiovascular (CV) disease morbidity and mortality. This study aimed to evaluate the potential of some novel anthropometric indices and adipocytokines to evaluate CV risk among T2DM patients. Methods: A total of 112 patients (men, 57; women, 55) with T2DM visiting Family Medicine and Endocrine counseling in the area of Health centers of Sarajevo Canton were included in this study. The sera samples were analyzed for fasting blood glucose (FBG), HbA1c, lipid profile parameters, adiponectin, and resistin levels. The Adiponectin/Resistin Index (A/R Index) was estimated using the formula. The novel anthropometric measurements, including the Conicity index (CI), Lipid Accumulation Product (LAP), visceral adiposity index (VAI), abdominal volume index (AVI), and Body adiposity index (BAI) were estimated. The 10-year risk for coronary heart disease (CHD) and fatal coronary heart disease (fCHD) is calculated by using UKPDS Risk software. Results: The adiponectin was shown as a statistically significant negative association with CHD in female subjects, and the A/R index as a statistically significant association with CHD and fCHD in male subjects. The AVI is superior to the CI, LAP, VAI, and BAI in assessing cardiometabolic risk in T2DM patients. Conclusions: Our study indicated that measuring adiponectin and A/R index, together with measuring AVI as a measure of general volume, can be used as surrogates in the evaluation of high cardiovascular risk among T2DM patients.