Analysis risk factors for glioma occurrence

Uvod: Gliomi su najčešći primarni tumori mozga čija je etiologija nepoznata. Cilj ove slučaj kontrola studije je bio da ispita vezu između glioma i različitih faktora rizika. Pacijenti i metode istraživanja: Slučaj kontrola studija je obuhvatila 100 ispitanika sa patohistološki potvrđenim gliomom i 200 ispitanika kontrolne grupe mečovanih po polu i godinama bez malignih bolesti u ličnoj i porodičnoj istoriji u Kliničkom centru Kragujevac. Nakon potpisivanja Informisanog pristanka svi pacijenti su popunjavali Epidemiološki upitnik. Za statističku obradu podataka korišćena je multivarijantna logistička regresija. Rezultati: Rezultati multivarijantne logističke regresije sugerišu da maligni tumori u porodici (OR=3.563 95%Cl 1.558–8.146, p=0.040), stres (OR=6.610 95%Cl 3.153–13.856, p<0.0005), konzumiranje piva (OR=5.131 95%Cl 2.722–18.820, p<0.0005), konzumiranje banana nedeljno i češće (OR=3.967 95%Cl 1.836–8.571, p <0.0005), konzumiranje krušaka nedeljno i češće (OR=5.238 95%Cl 2.381–11.523, p<0.0005) povećavaju rizik od nastanka glioma. Pozitivna porodična anamneza za šećernu bolest (OR=0.269 95% Cl 0.108–0.669, p=0.005), alergije (OR=0.070 95%Cl 0.015–0.429, p=0.003), uzimanje vitamina (OR=0.159 95%Cl 0.066–0.386, p<0.0005) i veća telesna težina (OR=0.966 95%Cl 0.942–0.991, p= 0.008) smanjuju rizik za pojavu glioma. Zaključak: Pozitivna porodična anamneza za maligne tumore u porodici povećava rizik za nastanak glioma oko dva puta. Stres u poslednjih godinu dana pre pojave bolesti povećava rizik za nastanak glioma za oko 3 puta. Takođe, konzumiranje piva, banana i krušaka nedeljno i češće povećava rizik za nastanak glioma. Opservirana je značajna inverzna veza između pozitivne porodične anamneza za šećernu bolest i veće telesne težine i rizika za nastanak glioma. Alergije smanjuju rizik za nastanak glioma za oko 5 puta, dok upotreba vitamina smanjuje rizik za nastanak glioma za oko 70%.Introduction:Gliomas are the most common primary brain tumors and the etiology is unknown. The purpose of this case control study was to examine the association between glioma and different risk factors. Patients and methods: The case-control study included 100 pathologically confirmed cases of glioma and 200 age- and sex-matched controls without malignant diseases in personal and family history at the Clinical centre Kragujevac. After signing the informed consent all the patients filled out an epidemiological questionnaire. Multivariate logistic regression is used in statistical data processing. Results:Results multivariate logistic regression suggest that positive family history of malignant disease (OR=3.563 95%Cl 1.558–8.146, p=0.040), stress (OR=6.610 95%Cl 3.153–13.856, p<0.0005), consuming beer (OR=5.131 95%Cl 2.722–18.820, p<0.0005), consuming bananas per week and more often (OR=3.967 95%Cl 1.836–8.571, p<0.0005), consuming pears per week and more often (OR=5.238 95%Cl 2.381–11.523, p<0.0005). positive family history of diabetes mellitus (OR=0.269 95%Cl 0.108–0.669, p=0.005), allergies (OR=0.070 95%Cl 0.015–0.429, p=0.003), taking vitamins (OR=0.159 95%Cl 0.066–0.386, p<0.0005) and higher body weight (OR=0.966 95%Cl 0.942–0.991, p=0.008) decreased risk of glioma. Conclusion: Positive family history of malignant disease increased risk of glioma for about 2-hold. Stress in the last year before the onset of the disease increased risk of glioma for about 3-hold. Аlso, consuming beer, banana and pears per week and more often increased risk of glioma. We observed significant inverse assotiation between positive family history of diabetes mellitus and higher body weight and risk of glioma. Allergies decreased risk of glioma for about 5-hold, while the use of vitamins decreased risk of glioma by about 70%

Analysis risk factors for glioma occurrence

Uvod: Gliomi su najčešći primarni tumori mozga čija je etiologija nepoznata. Cilj ove slučaj kontrola studije je bio da ispita vezu između glioma i različitih faktora rizika. Pacijenti i metode istraživanja: Slučaj kontrola studija je obuhvatila 100 ispitanika sa patohistološki potvrđenim gliomom i 200 ispitanika kontrolne grupe mečovanih po polu i godinama bez malignih bolesti u ličnoj i porodičnoj istoriji u Kliničkom centru Kragujevac. Nakon potpisivanja Informisanog pristanka svi pacijenti su popunjavali Epidemiološki upitnik. Za statističku obradu podataka korišćena je multivarijantna logistička regresija. Rezultati: Rezultati multivarijantne logističke regresije sugerišu da maligni tumori u porodici (OR=3.563 95%Cl 1.558–8.146, p=0.040), stres (OR=6.610 95%Cl 3.153–13.856, p<0.0005), konzumiranje piva (OR=5.131 95%Cl 2.722–18.820, p<0.0005), konzumiranje banana nedeljno i češće (OR=3.967 95%Cl 1.836–8.571, p <0.0005), konzumiranje krušaka nedeljno i češće (OR=5.238 95%Cl 2.381–11.523, p<0.0005) povećavaju rizik od nastanka glioma. Pozitivna porodična anamneza za šećernu bolest (OR=0.269 95% Cl 0.108–0.669, p=0.005), alergije (OR=0.070 95%Cl 0.015–0.429, p=0.003), uzimanje vitamina (OR=0.159 95%Cl 0.066–0.386, p<0.0005) i veća telesna težina (OR=0.966 95%Cl 0.942–0.991, p= 0.008) smanjuju rizik za pojavu glioma. Zaključak: Pozitivna porodična anamneza za maligne tumore u porodici povećava rizik za nastanak glioma oko dva puta. Stres u poslednjih godinu dana pre pojave bolesti povećava rizik za nastanak glioma za oko 3 puta. Takođe, konzumiranje piva, banana i krušaka nedeljno i češće povećava rizik za nastanak glioma. Opservirana je značajna inverzna veza između pozitivne porodične anamneza za šećernu bolest i veće telesne težine i rizika za nastanak glioma. Alergije smanjuju rizik za nastanak glioma za oko 5 puta, dok upotreba vitamina smanjuje rizik za nastanak glioma za oko 70%.Introduction:Gliomas are the most common primary brain tumors and the etiology is unknown. The purpose of this case control study was to examine the association between glioma and different risk factors. Patients and methods: The case-control study included 100 pathologically confirmed cases of glioma and 200 age- and sex-matched controls without malignant diseases in personal and family history at the Clinical centre Kragujevac. After signing the informed consent all the patients filled out an epidemiological questionnaire. Multivariate logistic regression is used in statistical data processing. Results:Results multivariate logistic regression suggest that positive family history of malignant disease (OR=3.563 95%Cl 1.558–8.146, p=0.040), stress (OR=6.610 95%Cl 3.153–13.856, p<0.0005), consuming beer (OR=5.131 95%Cl 2.722–18.820, p<0.0005), consuming bananas per week and more often (OR=3.967 95%Cl 1.836–8.571, p<0.0005), consuming pears per week and more often (OR=5.238 95%Cl 2.381–11.523, p<0.0005). positive family history of diabetes mellitus (OR=0.269 95%Cl 0.108–0.669, p=0.005), allergies (OR=0.070 95%Cl 0.015–0.429, p=0.003), taking vitamins (OR=0.159 95%Cl 0.066–0.386, p<0.0005) and higher body weight (OR=0.966 95%Cl 0.942–0.991, p=0.008) decreased risk of glioma. Conclusion: Positive family history of malignant disease increased risk of glioma for about 2-hold. Stress in the last year before the onset of the disease increased risk of glioma for about 3-hold. Аlso, consuming beer, banana and pears per week and more often increased risk of glioma. We observed significant inverse assotiation between positive family history of diabetes mellitus and higher body weight and risk of glioma. Allergies decreased risk of glioma for about 5-hold, while the use of vitamins decreased risk of glioma by about 70%

Potential drug-drug interactions among patients with spontaneous intracerebral hemorrhage treated at the Neurological Intensive Care Unit: a single-center experience

Our aim was to determine the prevalence of potential drug-drug interactions (pDDIs) and to identify relevant factors associated with the occurrence of the most dangerous or contraindicated pDDIs (pCDDIs) in hospitalized patients with spontaneous intracerebral hemorrhage (sICH). A retrospective cross-sectional study was performed enrolling all consecutive patients with sICH treated at the Neurological Intensive Care Unit, Clinical Center in Kragujevac, Serbia, during the three-year period (2012-2014). The inclusion criteria encompassed patients aged 18 years and over, those diagnosed with ICH, and those prescribed at least two drugs during hospitalization, while we did not include patients whose hospitalization lasted less than 7 days, those who were diagnosed with other neurological diseases and patients with incomplete medical files. For each day of hospitalization, the online checker Micromedex® software was used to identify pDDIs and classify them according to severity. A total of 110 participants were analysed. A high prevalence of pDDIs (98.2%) was observed. The median number of pDDIs regardless of severity, was 8.00 (IQR 4.75-13.00;1-30). The pairs of drugs involving cardiovascular medicines were the most commonly identified pDDIs. Twenty percent of the total number of participants was exposed to pCDDIs. The use of multiple drugs from different pharmacological-chemical subgroups and the prescribing of anticoagulant therapy significantly increase the chance of pCDDI (aOR with 95% CI 1.19 (1.05-1.35) and 7.40 (1.13-48.96), respectively). This study indicates a high prevalence of pDDIs and pCDDIs in patients with sICH. The use of anticoagulant therapy appears to be the only modifiable clinically relevant predictor of pCDDIs

Admission Predictors of Mortality in Hospitalized COVID-19 Patients—A Serbian Cohort Study

Background: Early prediction of COVID-19 patients’ mortality risk may be beneficial in adequate triage and risk assessment. Therefore, we aimed to single out the independent morality predictors of hospitalized COVID-19 patients among parameters available on hospital admission. Methods: An observational, retrospective–prospective cohort study was conducted on 703 consecutive COVID-19 patients hospitalized in the University Clinical Center Kragujevac between September and December 2021. Patients were followed during the hospitalization, and in-hospital mortality was observed as a primary end-point. Within 24 h of admission, patients were sampled for blood gas and laboratory analysis, including complete blood cell count, inflammation biomarkers and other biochemistry, coagulation parameters, and cardiac biomarkers. Socio-demographic and medical history data were obtained using patients’ medical records. Results: The overall prevalence of mortality was 28.4% (n = 199). After performing multiple regression analysis on 20 parameters, according to the initial univariate analysis, only four independent variables gave statistically significant contributions to the model: SaO2 > 74.6 pg/mL (aOR 2.389), LDH > 804.5 U/L (aOR 2.069) and age > 69.5 years (aOR 1.786). The C-index of the predicted probability calculated using this multivariate logistic model was 0.740 (p 0.001). Conclusions: Parameters available on hospital admission can be beneficial in predicting COVID-19 mortality