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Background: Hyponatremia can occur in the acute phase of any illness through various mechanisms. However, the frequency and severity of hyponatremia are not well known across a broad range of illnesses including medical and surgical diseases and trauma. Methods: The present, retrospective chart review was conducted at Tokyo Metropolitan Children's Medical Center from 2018 to 2019. Included were healthy children aged < 16 years with an acute illness, who were urgently admitted, and had their serum sodium level measured on arrival. Results: In total, 2717 patients were urgently admitted and had their serum sodium level measured. Of these, 1890 were included. Hyponatremia was found in 260 patients (13.8%). The most common hyponatremic disease was type 1 diabetes mellitus (69%) followed by acute infectious encephalopathy (60%), pyogenic arthritis (60%), and Kawasaki disease (51%). Kawasaki disease, seizure, urinary tract infection, acute appendicitis, lower respiratory tract infection, and acute gastroenteritis were associated with a significantly lower serum sodium value than cases of fracture comprising a control group. Conversely, acute bronchial asthma exacerbation (3%), anaphylaxis (0%), intussusception (0%), acute scrotal disease (0%), head injury (1%), and fracture (0%) were very infrequently associated with hyponatremia. Conclusions: The present study determined the frequency and severity of hyponatremia in various, acute, pediatric illnesses, including medical and surgical diseases and trauma. Despite reports of respiratory distress and pain inducing vasopressin secretion, hyponatremia was rarely observed on arrival in patients with acute bronchial asthma exacerbation, anaphylaxis, intussusception, acute scrotal diseases, head injury, or fracture. [ABSTRACT FROM AUTHOR]

Abstract Background Down syndrome (DS) is one of the most common genetic causes of intellectual disability, and it is associated with an increased incidence of numerous co-occurring conditions. Autism spectrum disorder (ASD) is common in persons with DS, with rates reported as high as 39%. However, little is known regarding co-occurring conditions in children with both DS and ASD. Methods A single-center retrospective review of prospective longitudinally collected clinical data was performed. Any patient with a confirmed diagnosis of DS evaluated at a large, specialized Down Syndrome Program in a tertiary pediatric medical center between March 2018 and March 2022 was included. A standardized survey which included demographic and clinical questions was administered during each clinical evaluation. Results In total, 562 individuals with DS were included. The median age was 10 years (IQR: 6.18–13.92). Of this group, 72 (13%) had a co-occurring diagnosis of ASD (DS+ASD). Individuals with DS+ASD were more likely to be male (OR 2.23, CI 1.29–3.84) and had higher odds of a current or prior diagnosis of constipation (OR 2.19, CI 1.31–3.65), gastroesophageal reflux (OR 1.91, CI 1.14–3.21), behavioral feeding difficulties (OR 2.71, CI 1.02–7.19), infantile spasms (OR 6.03, CI 1.79–20.34) and scoliosis (OR 2.73, CI 1.16–6.40). There were lower odds of congenital heart disease in the DS+ASD group (OR 0.56, CI 0.34–0.93). There was no observed difference in prematurity or Neonatal Intensive Care Unit complications between groups. Individuals with DS+ASD had similar odds of having a history of congenital heart defect requiring surgery to those with DS only. Furthermore, there was no difference in rates of autoimmune thyroiditis or celiac disease. There was also no difference in rates of diagnosed co-occurring neurodevelopmental or mental health conditions in this cohort, including anxiety disorders and attention-deficit/hyperactivity disorder. Conclusions This study identifies a variety of medical conditions which are more frequent in children with DS+ASD than DS alone, providing important information for the clinical management of these patients. Future research should investigate the role of some of these medical conditions in the development of ASD phenotypes, and whether there may be distinct genetic and metabolic contributions towards these conditions.

Background: Down syndrome (DS) is one of the most common genetic causes of intellectual disability, and it is associated with an increased incidence of numerous co-occurring conditions. Autism spectrum disorder (ASD) is common in persons with DS, with rates reported as high as 39%. However, little is known regarding co-occurring conditions in children with both DS and ASD. Methods: A single-center retrospective review of prospective longitudinally collected clinical data was performed. Any patient with a confirmed diagnosis of DS evaluated at a large, specialized Down Syndrome Program in a tertiary pediatric medical center between March 2018 and March 2022 was included. A standardized survey which included demographic and clinical questions was administered during each clinical evaluation. Results: In total, 562 individuals with DS were included. The median age was 10 years (IQR: 6.18–13.92). Of this group, 72 (13%) had a co-occurring diagnosis of ASD (DS+ASD). Individuals with DS+ASD were more likely to be male (OR 2.23, CI 1.29–3.84) and had higher odds of a current or prior diagnosis of constipation (OR 2.19, CI 1.31–3.65), gastroesophageal reflux (OR 1.91, CI 1.14–3.21), behavioral feeding difficulties (OR 2.71, CI 1.02–7.19), infantile spasms (OR 6.03, CI 1.79–20.34) and scoliosis (OR 2.73, CI 1.16–6.40). There were lower odds of congenital heart disease in the DS+ASD group (OR 0.56, CI 0.34–0.93). There was no observed difference in prematurity or Neonatal Intensive Care Unit complications between groups. Individuals with DS+ASD had similar odds of having a history of congenital heart defect requiring surgery to those with DS only. Furthermore, there was no difference in rates of autoimmune thyroiditis or celiac disease. There was also no difference in rates of diagnosed co-occurring neurodevelopmental or mental health conditions in this cohort, including anxiety disorders and attention-deficit/hyperactivity disorder. Conclusions: This study identifies a variety of medical conditions which are more frequent in children with DS+ASD than DS alone, providing important information for the clinical management of these patients. Future research should investigate the role of some of these medical conditions in the development of ASD phenotypes, and whether there may be distinct genetic and metabolic contributions towards these conditions. [ABSTRACT FROM AUTHOR]

Abstract Background Dogs with various medical diseases are usually treated at hospitals; however, the prognostic markers in dogs remain unknown. The aim of this study was to investigate the ability of serum cortisol concentration (SCC) to predict the prognosis of dogs with medical diseases. At 0 and 24 h after hospitalization, the neutrophil count, lymphocyte count, blood glucose concentration, and SCC were measured. Survival for 30 days from the time of hospitalization was investigated, and the dogs were divided into a survivor group and a non-survivor group. Results The neutrophil count at 24 h, SCC at 24 h, increase in SCC from 0 to 24 h (Inc-SCC), and the rate of increase in SCC from 0 to 24 h (R-Inc-SCC) were significantly higher in the non-survivor group than in the survivor group. The area under the receiver operating characteristic (ROC) curve values for the neutrophil count at 24 h, SCC at 24 h, Inc-SCC, and R-Inc-SCC were 0.695, 0.72, 0.63, and 0.66, respectively. Using the highest area under the ROC curve value, the sensitivity and specificity of SCC at a cutoff level of 6.6 μg/dL for predicting mortality were 89.5 and 61.9%, respectively. Moreover, the Kaplan–Meier curves confirmed the significant prognostic influence of SCC at 24 h. Conclusions SCC as a marker of stress is a useful biomarker for predicting the prognosis of dogs with medical diseases requiring hospital treatment.

Objective: Bipolar disorder is a severe, disabling, and recurring disorder. Some studies have shown that the frequency of bipolar disorder in patients with medical diseases is higher than healthy controls. The aim of this study was to investigate the frequency of bipolar disorders in medically ill patients hospitalized in Iranian general hospitals. Method: In this cross sectional study, 697 inpatients (342 men, 49.1%) from different wards of 3 general hospitals, with the mean age of 39.3+-10, were enrolled in the study using nonprobability sampling. Demographic questionnaire, Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS) were used. Inclusion criteria were as follow: informed consent, age 18-65 years, ability to speak Persian, and having at least middle school education. Results: The frequency of bipolar disorder was 12.1% and 20.8% based on BSDS and MDQ, respectively. The results of both tests were positive in 7.9% of hospitalized patients. The frequency of bipolar mood disorder was significantly higher in single patients and in those with comorbidity of alcohol and substance use disorders. Conclusion: Considering the high frequency of bipolar mood disorders in hospitalized medically ill patients and its probable effects on compliance and prognosis, early screening, diagnosis, and treatment of bipolar mood disorders is important in these patients.

The mathematical model of Support Vector Machine (SVM) will strong foundation offers upright approach in solving data science problems. In the perspective of mathematics, the training input SVM build its mathematical model which is usage of the SVM as broadly categorized as classification, regression, novelty detection tasks, and feature reduction. Now-a-days in many medical fields the technique of SVM will be utilized to determine or predict. It resembles a Computer helped analysis framework to support radiologist to distinguish Abnormalities prior and all the more quickly. The principle goal is to ensure fidelity and replication of detailed grouping comes about when an alternate example is examined. The early forecast of medical diseases like, breast cancer, skin disease and additionally thyroid. Texture classification is play an essential part in computer aided diagnostic system; the applications incorporate medicinal picture investigation and understanding, remote detecting. In this paper the advancement of the computer aided diagnostic system by using the mathematical of the SVM for the classification of mass characterization in medical diseases in view of the model of Support Vector Machine and the results are carried out by utilizing R-Language programming. [ABSTRACT FROM AUTHOR]

Objective: Bipolar disorder is a severe, disabling, and recurring disorder. Some studies have shown that the frequency of bipolar disorder in patients with medical diseases is higher than healthy controls. The aim of this study was to investigate the frequency of bipolar disorders in medically ill patients hospitalized in Iranian general hospitals. Method: In this cross sectional study, 697 inpatients (342 men, 49.1%) from different wards of 3 general hospitals, with the mean age of 39.3+-10, were enrolled in the study using nonprobability sampling. Demographic questionnaire, Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS) were used. Inclusion criteria were as follow: informed consent, age 18-65 years, ability to speak Persian, and having at least middle school education. Results: The frequency of bipolar disorder was 12.1% and 20.8% based on BSDS and MDQ, respectively. The results of both tests were positive in 7.9% of hospitalized patients. The frequency of bipolar mood disorder was significantly higher in single patients and in those with comorbidity of alcohol and substance use disorders. Conclusion: Considering the high frequency of bipolar mood disorders in hospitalized medically ill patients and its probable effects on compliance and prognosis, early screening, diagnosis, and treatment of bipolar mood disorders is important in these patients. [ABSTRACT FROM AUTHOR]

Background: Dogs with various medical diseases are usually treated at hospitals; however, the prognostic markers in dogs remain unknown. The aim of this study was to investigate the ability of serum cortisol concentration (SCC) to predict the prognosis of dogs with medical diseases. At 0 and 24 h after hospitalization, the neutrophil count, lymphocyte count, blood glucose concentration, and SCC were measured. Survival for 30 days from the time of hospitalization was investigated, and the dogs were divided into a survivor group and a non-survivor group. Results: The neutrophil count at 24 h, SCC at 24 h, increase in SCC from 0 to 24 h (Inc-SCC), and the rate of increase in SCC from 0 to 24 h (R-Inc-SCC) were significantly higher in the non-survivor group than in the survivor group. The area under the receiver operating characteristic (ROC) curve values for the neutrophil count at 24 h, SCC at 24 h, Inc-SCC, and R-Inc-SCC were 0.695, 0.72, 0.63, and 0.66, respectively. Using the highest area under the ROC curve value, the sensitivity and specificity of SCC at a cutoff level of 6.6 μg/dL for predicting mortality were 89.5 and 61.9%, respectively. Moreover, the Kaplan–Meier curves confirmed the significant prognostic influence of SCC at 24 h. Conclusions: SCC as a marker of stress is a useful biomarker for predicting the prognosis of dogs with medical diseases requiring hospital treatment. [ABSTRACT FROM AUTHOR]

Objectives: To describe the clinical and epidemiologic characteristics of patients with nontraumatic medical problems rescued by a Spanish mountain emergency response service (061 Aragon)., Material and Methods: Retrospective observational analysis of records of mountain rescues completed between July 2010 and December 2016., Results: A total of 164 patients with nontraumatic medical emergencies were rescued; 82.3% were males. Most patients were between the ages of 50 and 59 years. Environmentally related problems, most often hypothermia, accounted for 36.6% of the emergencies. Cardiac problems led to 20.7% and digestive problems to 12.8%. Eighty-two percent of the patients were hiking or engaged in general mountain activities (other than rock climbing, canyoning, hunting, or skiing)., Conclusion: Recent years have seen a rise in the number of patients requiring rescue from mountains for nontraumatic medical emergencies, particularly heart problems. The typical patient to expect would be a man between the ages of 50 and 59 years who is hiking in the summer.

Introduction Bipolar mood disorders are the eighth cause of disability in the world. Several studies have shown the prevalence of bipolar disorders in patients with medical diseases is higher than healthy controls. Aims This study aimed to investigate the prevalence of bipolar disorders in the medically ill patients hospitalized in general hospitals. Methods In this cross-sectional study, 706 patients (342 men, 49%) admitted to different wards of three general hospitals randomly enrolled to the study. Demographic questionnaire, MDQ (Mood Disorder Questionnaire) and BSDS (Bipolar spectrum Diagnostic Scale) were used. The criteria for inclusion were informed consent and cooperation for the study, lack of cognitive and mental disorders and being literate. Results In 84 (12.1%) and 145 (20.8%) patients, respectively BSDS and MDQ questionnaire results were positive. In 75% of patients, the results of both tests were negative, while in 9.7% of hospitalized patients, the results of both tests were positive. The frequency of bipolar mood disorders was not significantly different between male and female, but the frequency of bipolar disorders was significantly higher in singles, smokers, alcohol abusers, younger age and lower education level. The highest rate of bipolar disorders was reported in the orthopaedic ward. Conclusion The prevalence of bipolar mood disorders in hospitalized medically ill patients is significant, due to the impact of the disorder on the lifestyle, compliance and the prognosis, identification and treatment of bipolar mood disorders is important in these patients. [ABSTRACT FROM AUTHOR]

Objective: To describe the characteristics of the patients case-mix admitted to ICUs due to medical and surgical disease, and to compare both groups., Design: Analysis of data covering the period 2006-2011 in the ENVIN-HELICS registry. An observational, prospective, multicenter and voluntary participation study., Setting: A total of 188 Spanish ICUs., Patients: All patients admitted for more than 24 hours., Main Variables: Demographic data, cause of admission, severity scores, length of stay, mortality., Results: A total of 138,999 patients were analyzed. Of these, 65,467 (47.1%) were admitted due to a non-coronary medical cause, 27,785 (20,0%) due to coronary-related illness, 28,044 (20,2%) after elective surgery and 17,613 (12.7%) after urgent surgery. Use of devices, nosocomial infections and isolation of multirresistant organisms were more prevalent in urgent surgery patients. Longer length of stay (median 5 days; interquartile range 2-11) as well as higher severity scale values (APACHE II and SAPS II) corresponded to this same group of patients. Mortality was higher in non-coronay medical patients. On categorizing the patients according to the APACHE II score, mortality was seen to be higher in urgent surgery cases than in elective surgery patients in all groups. The largest difference was observed in the APACHE II score 6-10 group (3% vs. 0.9%) (OR: 2.14, 95% CI 1.825-2.513; p<0.001)., Conclusions: The mortality rate is higher in non-coronary medical patients, though resource use per patient is greater in the urgent surgery cases. The APACHE II scale underestimates mortality in emergency surgery patients., (Copyright © 2013 Elsevier España, S.L.U. and SEMICYUC. All rights reserved.)