scholarly journals Major clinical risk factors for seizures in febrile children aged 6 to 60 months.

2020 ◽  
Vol 27 (05) ◽  
pp. 891-894
Author(s):  
Shahid Ishaq ◽  
Ejaz Mazari ◽  
Fazal ur Rehman
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Febrile Seizures ◽  
Study Groups ◽  
Clinical Risk Factors ◽  
P Value ◽  
Chi Square ◽  
Clinical Risk ◽  
Significant Difference ◽  
History Of

Objectives: Febrile seizures (FS) are the most common type of seizures and typically transpire in children with ages from 6 to 60 months. This study was planned to find out major clinical risk factors for seizures in febrile children who were aged 6 to 60 months. A total of 100 febrile children aged 6 to 60. Study Design: Analytical Study. Setting: Department of Neurology, Children’s Hospital and the Institute of Child Health, Multan. Period: From 1st April 2018 to 31st December 2018. Material & Methods: Group A had 40 children with febrile seizures while group B had 60 febrile children but without seizures. Demographic features along with family history of (H/O) epilepsy as well as family history of febrile seizure, types of seizure and infection diseases were noted and analyzed using SPSS version 20. Odds ratio was calculated for various risk factors. Chi square test was applied and P value < 0.05 was considered as significant. Results: Out of a total of 100 children, there were 54 (54.0%) male and 46 (46.0%) female. There was no statistical difference in terms of gender between the two groups (p value = 0.566). Overall, mean age of the children was 26.02 months with standard deviation of 13.4 months. There were 28 (70.0%) children who reported with simple seizures while complex seizures were found in 12 (30.0%) cases. Statistically significant difference (p value = 0.001) was seen in terms of types of infections between the two study groups. When risk of seizures for various risk factors was calculated, family H/O FS, family H/O epilepsy, and upper RTI were as 14, 7 and 3 times respectively and turned out to be the major risk factors for seizures in febrile children. Conclusions: Family H/O FS, family H/O epilepsy and upper RTIs are the major risk factors related with seizures in febrile children. Measures to prevent these risk factors can decrease the burden of FS in our population.

scholarly journals Examining the Relationship between Biopsychosocial History and Clinical Profiles Following Concussion

2019 ◽  
Vol 34 (5) ◽  
pp. 765-765
Author(s):  
K Emami ◽  
A M Sufrinko ◽  
M W Collins ◽  
A P Kontos ◽  
E A Rossi
Keyword(s):  
Risk Factors ◽  
Motion Sickness ◽  
Clinical Profile ◽  
Clinical Risk Factors ◽  
Post Injury ◽  
Chi Square ◽  
Clinical Risk ◽  
History Of ◽  
Concussion History ◽  
Clinical Profiles

Abstract Purpose To determine if clinical risk factors (e.g., migraine history, motion sickness, concussion history) place an individual at risk for specific clinical profiles (e.g., posttraumatic migraine, vestibular) designated by a clinician following concussion. Methods Fifty (22M; 28F) symptomatic, concussed patients (17.02±3.14 years old) were evaluated within 21days post-injury. Demographics and medical history were obtained, including history of migraine, motion sickness, ADHD, learning disability (LD), oculomotor disorder, psychiatric diagnoses, and prior concussion. The presence of each clinical profile was determined by a clinician, based on synthesis of evaluation findings, including neurocognitive testing, symptom report, and vestibular/oculomotor screening results. Chi-square analyses were used to explore associations between risk factors and clinical profile post-injury. Results Chi-square analyses found that female sex was associated with increased odds (OR=5.25,95% CI[1.55, 17.77]) of vestibular clinical profile, X2(1, n=50)=7.55, p=.006. History of concussion was associated with increased odds (OR=7.10,95%CI[1.39,35.87]) of the PTM profile (X2[1, n=50]=6.56, p=.01) and increased odds (OR=9.85,95%CI[1.00,96.67]) of anxiety/mood profile (X2 1, n=50]=5.24, p=.022. Further, history of motion sickness was associated with increased odds OR=10.2,95%CI[1.2,86.69] of the PTM profile (X2[1, n=50]=6.11, p=.013). No other relationships were found. Conclusion Some clinical risk factors were associated with post-injury clinical profiles consistent with prior literature, while others were not. For example, females were more likely to have a vestibular profile. While motion sickness was associated with PTM, history of migraine was not. Concussion history, which has inconsistent findings for re-injury outcomes, was associated with increased likelihood of PTM and anxiety/mood profiles. Findings add to the literature supporting relationships among risk factors and clinical outcomes.

scholarly journals Ankle-brachial Index and associated factors in individuals with coronary artery disease

2020 ◽  
Vol 66 (4) ◽  
pp. 407-413
Author(s):  
Saulo Henrique Salgueiro de Aquino ◽  
Isabelle Tenório Melo ◽  
Carlos Dornels Freire de Souza ◽  
Francisco de Assis Costa
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Family History ◽  
Ankle Brachial Index ◽  
Chi Square ◽  
Significant Difference ◽  
History Of ◽  
Artery Disease

SUMMARY OBJECTIVE Analyzing the association between ABI and the main risk factors for coronary artery disease in coronary patients. METHODS Were selected 156 adult patients from a hospital in Maceió, Alagoas. Were evaluated with risk factors age, obesity, hypertension, diabetes mellitus, smoking, and dyslipidemia. PAOD screening was performed by the ankle-brachial index (ABI). The Mann-Whitney, chi-square, and Fisher’s exact tests were used. Confidence Interval of 95% and a significance of 5%. RESULTS 67.3% (n=105) males, 52.6% (n=82) elderly, 23.1% (n = 34) obese, 72.4% 6% (n=113) hypertensive, 34.6% (n=54) diabetics, 53.2% (n=83) smokers, 34.6% (n=54) dyslipidemic and 70.5% (n=110) with a family history of CAD. 16.7% (n=26) of the individuals presented PAOD. Three factors were associated with PAOD: age group ≥ 60 years (OR:3.656; p=0.005), diabetes mellitus (OR:2.625; p=0.024) and hypertension (OR:5.528; p=0.008). No significant difference was observed in the variables smoking, dyslipidemia, family history of CAD, and obesity. CONCLUSION The independent risk factors for PAOD were age, diabetes mellitus, and systemic arterial hypertension.

scholarly journals Risk Factors of the First Febrile Seizures in Iranian Children

2010 ◽  
Vol 2010 ◽  
pp. 1-3 ◽  
Author(s):  
Abolfazl Mahyar ◽  
Parviz Ayazi ◽  
Mazdak Fallahi ◽  
Amir Javadi
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Body Temperature ◽  
Breast Feeding ◽  
Febrile Seizures ◽  
The Body ◽  
Feeding Duration ◽  
Significant Difference ◽  
History Of ◽  
Iranian Children

Objective. Febrile seizures are the most common type of convulsion in children. The identification of influencing factors on incidence of the first febrile seizures is of prime priority. The aim of this study was to identify the risk factors of the first febrile seizures in Iranian children.Methods. In this case-control study 80 children aged 9 month to 5 years with their first febrile seizures were compared with 80 children with fever without seizure based on different risk factors in 2007.Results. There was significant difference between two groups regarding the gender, family history of febrile seizures, breast-feeding duration, and the body temperature (P<.05).Conclusion. Our study showed that factors including the gender, family history of febrile seizures, breast-feeding duration, and the body temperature are among the risk factors in occurrence of the first febrile seizure. Preventive measures to remove such risk factors could lead to lower the incidence of febrile seizures.

Individualized colorectal cancer screening based on the clinical risk factors: beyond family history of colorectal cancer

2018 ◽  
Vol 88 (1) ◽  
pp. 128-135 ◽  
Author(s):  
Chan Hyuk Park ◽  
Nam Hee Kim ◽  
Jung Ho Park ◽  
Dong Il Park ◽  
Chong Il Sohn ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Cancer Screening ◽  
Family History ◽  
Colorectal Cancer Screening ◽  
Clinical Risk Factors ◽  
Clinical Risk ◽  
History Of

scholarly journals The Characteristics of Risk Factors in Chinese Young Women with Acute Coronary Syndrome

2020 ◽  
Author(s):  
Ruifang Liu ◽  
Fangxing Xu ◽  
Yujie Zhou ◽  
Tongku Liu
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Young Women ◽  
Early Onset ◽  
Young Female ◽  
Cardiac Insufficiency ◽  
Control Group ◽  
Significant Difference ◽  
Gynecological Diseases ◽  
History Of

Abstract Background In recent years, the prevalence rate of ACS in Chinese young women has been increasing significantly, becoming the main cause of death in young female. This study aimed to investigate the characteristics and difference of risk factors in Chinese young women with ACS and to provide references for ACS prevention and treatment. Methods A 1:1 case-control study was conducted to evaluate risk factors of 415 young female patients with ACS (ACS group) who underwent PCI treatment and 415 young female cases without ACS (control group) who were hospitalized and confirmed by coronary angiography to exclude coronary heart disease from January 2010 to August 2016. The average age of the cases in the two groups was respectively (40.77±4.02) years-old and (40.57±4.01) years-old (P> 0.05). Results The risk factors in ACS group were overweight (64.10%), hypertension (49.88%), hyperlipidemia (35.66%), diabetes (23.37%), depression or anxiety disorder (16.62%), gynecological diseases (16.39%), Hyperuricemia (15.18%), family history of early onset coronary heart disease (14.94%), hyperhomocysteinemia (11.33%), hypothyroidism(14.96%), hypercholesterolemia (8.43%) and high c-reactive protein (7.47%), and were statistically significant difference (P<0.01) compared with that of control group. The average number of risk factors per case in ACS group was significantly more than that of control groups (P<0.01). There was a statistically significant difference in the number of combined risk factors of the overweight cases compared between two groups (P<0.01). Regression analysis showed that hyperlipidemia, hyperhomocysteinemia, overweight（obesity）, high CRP, hypertension, hypothyroidism, gynecological diseases, depression or anxiety, cardiac insufficiency, hypercholesterolemia, diabetes, oral contraceptives, family history of early onset CHD, and autoimmune diseases were independent risk factors (P<0.01). The bivariate correlation analysis between CRP level and age was r= -0.158 (P<0.01). This result showed the younger ACS patient is the higher serum CRP. Conclusion The independent risk factors of ACS in young women are hyperlipidemia, hyperhomocysteinemia, overweight, high CRP, hypertension, hypothyroidism, gynecological diseases, depression or anxiety, cardiac insufficiency, hypercholesterolemia, diabetes, oral contraceptives, family history of early onset CHD, and autoimmune diseases. The co-existence of multiple risk factors is the main cause suffering from ACS in young women.

scholarly journals Factors Associated with Non-Adherence to Antihypertensive Medication among Hypertensive Patients in Community

2019 ◽  
Vol 2 (1) ◽  
pp. 53-59
Author(s):  
Tirtha Man Shrestha ◽  
Laxman Bhusal ◽  
Shankar Raut ◽  
Rajan Ghimire ◽  
Poonam Shrestha
Keyword(s):  
Family History ◽  
Marital Status ◽  
Antihypertensive Medication ◽  
Health Clinic ◽  
P Value ◽  
Hypertensive Patients ◽  
Adherence To Medication ◽  
Significant Difference ◽  
History Of ◽  
Family History Of Hypertension

Objective: Hypertension is one of the common non-communicable health problems. While pharmacologic intervention is the most efficient way to control hypertension; non-adherence to medication is accounted as a significant cause for complications. This study was to address and to determine the magnitude of non-adherence among hypertensive patients by summarizing the associated risks factors among patients in community level. Method: This is a cross sectional study conducted on hypertensive patients who visited the community health clinic at Dhading, Nepal on 9th and 10th June 2018 using a pre structured questionnaire. Patients were sampled by nonprobability purposive sampling method. Effect of age, gender, marital status, employment, education level, presence of diabetes, cerebrovascular disease, current smoker, and family history of hypertension were analyzed by compliance of antihypertensive drugs using frequency distribution, chi-square test, and logistic regression. For all of the analysis p value <0.5 was considered as significance. Results: 150 patients were included in the study, out of whom 48 patients were found adherent and 102 patients non-adherent to antihypertensive medication. Out of total population 46% (n=69) were male and 54% (n=81) were female with no significant difference between compliant and noncompliant groups (OR= 1.512, p-=0.292). Mean age of patients in complaint group was 57 years and in non-compliant group was 52 years with odds ratio of 0.959 (p= 0.004, 95% C.I =0.933-0.987). However, there was no significant effect of marital status, employment status, and family history of hypertension on adherence to anti-hypertensive medication. Presence of diabetes had significant effect on adherence to medication (OR= 8.494, p= 0.014). The most common reason for non-adherence was the fear of getting stuck with medication for lifetime (n=31, 30.3%) followed by the use of ayurvedic/home remedy (n=27, 26.5%), unaware of complications (n=16, 15.7%), life style modification (n=14, 13.7%), and financial weakness (n=9, 8.8%). Pearson’s correlation of these reasons was between -1 to 0 with p value <0.5. Conclusion: Fear of taking medication lifelong was the major reason for non-adherence; however, age and comorbid health conditions like diabetes have a significant effect on adherence to medication. Health care awareness and counseling can help these patients to overcome the fear of taking medication for lifetime, which can increase the medication compliance rate.

scholarly journals Biological versus Clinical Risk Factors in Acute Myeloid Leukemia: Is There a Winner?

2019 ◽  
Vol 2019 ◽  
pp. 1-4
Author(s):  
M. Malagola ◽  
N. Polverelli ◽  
V. Cancelli ◽  
E. Morello ◽  
A. Turra ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Myeloid Leukemia ◽  
Myelodysplastic Syndrome ◽  
Myeloid Leukemia ◽  
Clinical Risk Factors ◽  
Decision Algorithm ◽  
Platelet Recovery ◽  
Clinical Risk ◽  
History Of ◽  
Acute Myeloid

We present a case of a patient with a three-month history of peripheral blood cytopenia without a confirmed diagnosis of myelodysplastic syndrome, who developed a favourable-risk acute myeloid leukemia (AML), according to the European Leukemia Net (ELN) criteria. The patient achieved a complete remission with incomplete platelet recovery (CRi) after induction. The patient achieved the morphological CR after the first consolidation and completed the first-line treatment with a syngeneic stem cell transplantation (SCT). A disease relapse occurred after one year of CR (blast cell count in the bone marrow 15%), and the patient was offered a haplo-SCT, which he refused due to personal reasons. In this paper, we discuss the interplay between clinical and biological risk factors in non-high-risk AML patients and speculate that some old clinical risk factors (e.g., age of the patient, achievement of CR after induction, and previous history of myelodysplastic syndrome) may still impact on the treatment decision algorithm of some of these patients.

scholarly journals Clinical Risk Factors for Osteoporotic Fractures in Men With Non-Metastatic Prostate Cancer on Androgen Deprivation Therapy With or Without Anti-Osteoporosis Treatment

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A243-A244
Author(s):  
Hajerah Sonnabend ◽  
Vishnu Priya Pulipati ◽  
Sanford Baim ◽  
Todd Beck ◽  
J Alan Simmons ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Factors ◽  
Cancer Therapy ◽  
Androgen Deprivation Therapy ◽  
Androgen Deprivation ◽  
Clinical Risk Factors ◽  
Mineral Density ◽  
Steroid Use ◽  
Clinical Risk ◽  
Significant Difference

Abstract Introduction: Androgen deprivation therapy (ADT) decreases bone mineral density and increases osteoporotic fracture (OsteoFx) risk. Hypothesis: To assess OsteoFx clinical risk factors (CRF) most predictive of future OsteoFx among men with prostate cancer on ADT. Methods: 4370 electronic medical records were reviewed of adult men with prostate cancer on cancer therapy +/- anti-osteoporosis therapy (Anti-OsteoRx) from 2011–2019. Cancer therapy included ADT (anti-androgens, GnRH agonists & antagonists, orchiectomy) and supplemental cancer therapy (SupplRx) (prostatectomy, brachytherapy, radiation, immunotherapy, and chemotherapy). Anti-OsteoRx included bisphosphonates, denosumab, and parathyroid hormone analogs. Patients with other cancers within 5 years of initial visit, metastasis, and traumatic fractures were excluded. Retrospective analysis was done to determine baseline characteristics, type and duration of ADT, Anti-OsteoRx, SupplRx, and osteoporosis CRF. Results: 615 men on ADT +/- SupplRx +/- Anti-OsteoRx were included in the study. 10.08% had OsteoFx irrespective of SupplRx or Anti-OsteoRx. Comparing the OsteoFx group to the non-fracture group, the following CRF were found to be statistically significant (p &lt;0.05): age at prostate cancer diagnosis (75.10 +/- 11.80 vs 71.59 +/- 9.80 y), diabetes mellitus (DM) (33.9 vs 19%), pre-existing comorbidities affecting bone (PreCo) (41.9 vs 24.8%), steroid use (11.3 vs 4.0%), and anti-convulsant and proton-pump inhibitor (med) use (45.2 vs 26.8%). 9.89% of 374 men on ADT only without (wo) Anti-OsteoRx fractured. Statistically significant CRF for OsteoFx were age (76.86 +/- 10.55 vs 73.02 +/- 10.06 y), DM (40.5 vs 19.6%), PreCo (45.9 vs. 26.4%), and med use (48.6 vs. 25.5%). In the following subgroups there were no statistically significant difference in CRF:•7.64% of 170 men on ADT + SupplRx wo Anti-OsteoRx •19.23% of 52 men on ADT only + Anti-OsteoRx •10.52% of 19 men on ADT + SupplRx + Anti-OsteoRx To increase statistical power, patients on ADT +/- SupplRx were assessed:•Among 71 men on ADT +/- SupplRx + Anti-OsteoRx, there were no statistically significant differences in CRF•Among the 544 men on ADT +/- SupplRx wo Anti-OsteoRx, significant CRF for OsteoFx were age (75.16 + 11.70 vs 71.37 + 9.85 y), DM (38 vs 19.4%), PreCo (38 vs 24.1%), steroid use (12 vs 3.8%), and med use (48 vs 24.3%) Discussion: Men with prostate cancer requiring ADT have a higher incidence of osteoporosis defined by DXA prior to initiating ADT compared to age-matched cohorts (Hussain et al). Our study revealed ADT with CRF is associated with OsteoFx irrespective of SupplRx or Anti-OsteoRx. Limitations include inability to evaluate efficacy of Anti-OsteoRx due to insufficient power. Conclusion: OsteoFx risk assessment utilizing CRF, FRAX, DXA with timely intervention may prevent OsteoFx in these high-risk patients.

scholarly journals Association of the Arginase Ι with Bronchial Asthma

2019 ◽  
Vol 27 (2) ◽  
pp. 238-243 ◽  
Author(s):  
Ashti Mohammad Amin Said ◽  
Ahmed Abdulqader Al-Naqshbandi ◽  
Yasin Kareem Amin ◽  
Rebwar Jalal Ali
Keyword(s):  
Family History ◽  
Bronchial Asthma ◽  
Colorimetric Assay ◽  
Mean Value ◽  
Enzyme Linked Immunosorbent Assay ◽  
P Value ◽  
Significant Difference ◽  
Asthma Patients ◽  
History Of ◽  
And Gender

Objective The aim of this study was to detect the arginase Ι (ARG I) enzyme in asthma patients, clarify its role, in addition to examining the relationship of this enzyme with bronchial asthma. Methods: Blood samples were collected from 100 patients from the Department of Medicine in Rizgary Hospital in Erbil City, in addition to intact 100 volunteers; the introduced questionnaire was filled out on the basis of type-induced asthma, duration of the disease, age of the patients, gender, family history, and allergy condition, Serum was separated to perform Enzyme-linked immunosorbent assay (ELISA) in Medical Research Center to examine the association of ARGΙ with bronchial asthma. By ARG activity we can measure the conversion of arginine to ornithine and urea. By using a quantitative colorimetric assay at 490 nm, employing a QuantiChrom arginase assay kit (Bioassay Systems). Results: Our results depicted the association between ARGΙ and bronchial asthma: based on their age, significant elevation of serum arginase level was observed in the patients with ≥81 years old, which mean value (100.16±19.77c), p-value (0.000); also the duration of asthma ≥20 years (82.48±38.81c) , p-value (0.01) were remarkably affected; this sign was found in those with types of induced asthma and with allergy condition.  But the non- significant difference in the frequency of abnormal serum arginase level was observed in those patients that have a family history of asthma disease and gender of the patients. This finding demonstrated a remarkable association of ARG Ι in the development of asthma at p ˂ 0.05.

scholarly journals Study of correlation between breast feeding and wheezing in children

2018 ◽  
Vol 6 (1) ◽  
pp. 191
Author(s):  
Sagar Potharajula ◽  
Shreedhara Avabratha Kadke
Keyword(s):  
Family History ◽  
Breast Feeding ◽  
Cow’S Milk ◽  
Control Group ◽  
P Value ◽  
Chi Square ◽  
College Hospital ◽  
Cow's Milk ◽  
Breast Feed ◽  
History Of

Background: Wheezing is the most common chronic health problem in childhood. Many studies have found protective effect of breastfeeding on wheezing, while few others have not. Hence this study was taken up to find out the correlation between breastfeeding and wheezing in children.Methods: Case control study done in a Medical College Hospital. Cases were children of 2-5yrs age with history of wheezing or who had received nebulisation. Controls were children without history of wheezing or nebulisation. Mothers were interviewed with a predesigned proforma. Results were analysed by Chi square test and Odd’s ratio and p value <0.05 was considered significant.Results: There were 92 cases and 184 controls. Sixteen (53.4%), 48 and 27 cases were breastfed less than 1year, till 2yrs and beyond 2yrs respectively. 14 (46.6%), 128, and 40 were the numbers in control group. Breast feeding duration till 1 year of age is statistically correlated with wheezing with p value of 0.02, higher proportion of children who were breastfed for less than 1 year had wheezing when compared to controls. 26 cases out of 69 were not exclusively breast fed till 6 months and 66 cases out of 207 were exclusively breastfed. Higher proportion of cases who were not exclusively breastfed had developed wheeze although it was not significant statistically. 45 cases (36.8%) were initiated on cow’s milk before 1yr of age, 47 cases (30.5%) were initiated after 1year. Higher proportion of children who were initiated on cow’s milk early had developed wheeze but was not significant statistically. 34 cases and 24 controls had family history of asthma. With family history wheezing episodes were 3.72 times more likely irrespective of breast-feeding duration.Conclusions: Breast feeding gives protection against wheezing in children. Mothers should be encouraged to breast feed their children.

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