Myocarditis in Paediatric Patients: Age and Gender Are Influencing Incidence, Severity, and Clinical Course: Initial Data Analysis from the German Multi-Centre Registry (“MYKKE”)

2016 ◽  
Vol 64 (S 02) ◽  
Author(s):  
S. Schubert ◽  
B. Opgen-Rhein ◽  
G. Haverkämper ◽  
E. zu Knyphausen ◽  
A. Weise ◽  
...  
Keyword(s):  
Data Analysis ◽  
Initial Data ◽  
Clinical Course ◽  
Age And Gender ◽  
Paediatric Patients ◽  
And Gender

scholarly journals Italian COVID-19 epidemic: effects on paediatric emergency attendance—a survey in the Emilia Romagna region

2020 ◽  
Vol 4 (1) ◽  
pp. e000742 ◽  
Author(s):  
Andrea Cella ◽  
Federico Marchetti ◽  
Lorenzo Iughetti ◽  
Anna Rita Di Biase ◽  
Giulia Graziani ◽  
...  
Keyword(s):  
Effect Size ◽  
Clinical Course ◽  
Head Injuries ◽  
P Value ◽  
Age And Gender ◽  
Paediatric Emergency ◽  
Hospitalised Patients ◽  
Emilia Romagna Region ◽  
And Gender ◽  
Provision Of Care

ObjectiveTo evaluate the effect of the COVID-19 epidemic on paediatric emergency department (ED) attendance in a region of Northern Italy.MethodsA survey was proposed to six out of nine paediatric EDs in the Emilia Romagna region to evaluate attendance data, distribution by age and gender, triage code score, outcome of clinical course, number of hospitalisations and the distribution of patients by disease. Data were collected during March 2020 and compared with that of March 2019.ResultsA drop in paediatric ED attendance of more than 83.8% was observed, with a higher percentage of infants and severe triage scores. The proportion of patients hospitalised was significantly higher in 2020 than in 2019 (p value: <0.001). The effect size for the comparison of proportions of hospitalised patients was 0.379. Looking at the distribution of attendance by type of disease, a significantly different distribution was highlighted (p value: <0.00001, Cramer’s V); there was a greater proportion of patients presenting to paediatric EDs with poisonings (effect size=0.07), psychiatric pathologies (effect size=0.110), head injuries (effect size=0.167) and fever (effect size=0.212).ConclusionsOur survey suggests that in the first month of the COVID-19 epidemic in Italy, there has been an increase in delayed attendance and provision of care of potentially severe diseases in paediatric EDs. Hospital and community paediatricians should be aware of this phenomenon and adopt appropriate strategies to prevent this danger, as it may affect children more seriously than COVID-19 itself.

A COMPARATIVE STUDY OF CLINICAL AND BIOCHEMICAL PROFILE AMONG SURVIVORS AND NON SURVIVORS OF PATIENTS WITH COVID-19 INFECTION - A RETROSPECTIVE STUDY.

2021 ◽  
pp. 4-6
Author(s):  
Tilak. N ◽  
Abhijna Vithal Yergolkar ◽  
Ashwin Kulkarni ◽  
T. Anil Kumar ◽  
Sujatha. K.J ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Comparative Study ◽  
Biochemical Parameters ◽  
Clinical Course ◽  
Pneumonia Severity Index ◽  
Severity Index ◽  
Age And Gender ◽  
Pneumonia Severity ◽  
And Gender ◽  
D Dimer

BACKGROUND: The pandemic caused by SARS-Corona Virus-2 (COVID-19) is far from over. There has been ongoing new infections across the globe. The clinical course of the disease is varied among different individuals. The prediction of severity and mortality is very difcult but quite essential for timely escalation of the treatment. This is a comparative study of clinical, biochemical parameters among the survivors and non survivors of COVID-19 infection. METHODOLOGY: This is a retrospective study conducted in a tertiary care hospital in South India. This study was an audit of 39 survivors and 39 non survivors of COVID-19 infection. These patients were matched with age and gender. The clinical prole, Biochemical parameters and the clinical course among the two groups were compared and analyzed. RESULTS: 39 survivors and 39 non survivors were included in the study. The two groups were age and gender matched. The symptoms were fever, cough, breathlessness, fatigue, myalgia, body ache, diarrhea. Breathlessness was more common among patients who did not survive. Pneumonia severity index was class 1 and class 2 among patients who survived. PSI was class 4 and class 5 among the patients who did not survive. This difference was statistically signicant. It was seen that there were signicant number of comorbidities and inammatory markers like CRP, D DIMER, LDH, S. Ferritin seen among non survivors compared to the survivors. The study CONCLUSION: shows that presence of comorbidities has an adverse impact on the outcome of the patients with COVID-19 infection. The elevated inammatory markers like CRP, D Dimer and LDH predicted poor outcome. Pneumonia severity index was a useful marker to predict the outcome among patients of COVID.

scholarly journals Variasi Sapaan Pedagang Buah-Buahan di Madura

2020 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Yunita Suryani ◽  
Taswirul Afkar ◽  
Siti Umi Hanik
Keyword(s):  
Data Analysis ◽  
Social Class ◽  
Young People ◽  
Young Men ◽  
Analysis Method ◽  
Age And Gender ◽  
Ethnic Chinese ◽  
Data Analysis Method ◽  
And Gender ◽  
Ethnic Factors

ABSTRAK Variasi sapaan pedagang buah-buahan di pasar tradisional, Bangkalan, Madura terjadi secara alamiah saat tawar-menawar. Penelitian ini mendeskripsikan variasi sapaan pedagang kepada pembeli yang dipengaruhi faktor usia dan jenis kelamin pembeli; faktor hubungan kekerabatan; dan faktor etnis yang berbeda. Metode analisis data menggunakan teknik padan pragmatis. Hasil penelitian menunjukkan variasi sapaan pedagang, 1) berdasarkan usia dan jenis kelamin: sapaan Buk untuk wanita yang sudah menikah atau berusia lebih dari 30 tahun, sapaan Lek [Le?] untuk laki-laki muda berusia kurang lebih 17--20 tahun; 2) berdasarkan hubungan kekerabatan: sapaan Lek [Le?] digunakan pedagang karena sudah mengenal pembeli; 3) berdasarkan etnis yang berbeda: sapaan pada pembeli etnis Jawa menggunakan sapaan Dek yang biasa digunakan juga oleh orang Jawa untuk menyapa anak muda, begitu pula pada pembeli etnis Cina, pedagang menggunakan sapaan Ko atau Koko, 4) berdasarkan kelas sosial: Mik [Mi?] untuk wanita yang sudah haji atau usianya lebih tua dari pedagang.Kata kunci: variasi sapaan, pedagang buah, MaduraABSTRACT Variations in the greetings of fruit traders in traditional, Bangkalan, Madura occur naturally during bargaining. This study describes variations in the greeting of traders to buyers who are influenced by age and gender factors of buyers; kinship factors; and different ethnic factors. The data analysis method uses padan pragmatic techniques. The results showed variations in merchant greetings, 1) based on age and gender: book greetings for women who were married or over 30 years old, greetings lek [le?] For young men aged around 17-20 years; 2) based on kinship: greeting lek [le?] used by traders because they already know the buyer; 3) based on different ethnicities: greetings to Javanese ethnic buyers using dek greetings which are also used by Javanese to greet young people, as well as ethnic Chinese buyers, traders using ko or koko greetings, 4) based on social class: mik [mi?] for women who are already on Hajj or are older than traders.Keywords: variations in greetings, fruit traders, Madura

scholarly journals Age- and gender-related differences in teicoplanin levels in paediatric patients

2013 ◽  
Author(s):  
V. Strenger ◽  
N. Hofer ◽  
S. Rodl ◽  
M. Honigl ◽  
R. Raggam ◽  
...  
Keyword(s):  
Age And Gender ◽  
Paediatric Patients ◽  
And Gender

scholarly journals Significant age- and gender-related variability of main lymphocyte subsets in paediatric patients: Latvian data

2018 ◽  
Vol 88 (2) ◽  
pp. e12696
Author(s):  
Sergey Nikulshin ◽  
Linda Kundzina ◽  
Iveta Tolstikova ◽  
Dagne Gravele ◽  
Tatjana Prokofjeva ◽  
...  
Keyword(s):  
Lymphocyte Subsets ◽  
Age And Gender ◽  
Paediatric Patients ◽  
And Gender

Thrombocytopenia and Anemia Among Patients with Cerebral Palsy: A Big-Data Analysis

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 30-31
Author(s):  
Ioannis Milioglou ◽  
Sanjay P Ahuja ◽  
Nathan Richard Stehouwer
Keyword(s):  
Big Data ◽  
Cerebral Palsy ◽  
Data Analysis ◽  
General Population ◽  
Big Data Analysis ◽  
Age And Gender ◽  
Aggregated Data ◽  
Infectious Process ◽  
Gender Based ◽  
And Gender

Title: Thrombocytopenia and Anemia among patients with Cerebral Palsy: A big-data analysis Introduction : The incidence of thrombocytopenia and anemia in patients with cerebral palsy (CP) is not well reported in the medical literature . Patients with CP, particularly those with the most severe phenotypes, may be repeatedly exposed to medications and infections associated with blood dyscrasias. The aim of this study was to assess the the prevalence of thrombocytopeniaand anemia in patients with CP comparing it to the general population. We also compared the prevalence of hospitalizations between patients with CP, with and without these blood dyscrasias. Methods: Utilizing a commercial database (Explorys Inc, IBM), we identified a cohort of patients diagnosed with CP based on the Systematized Nomenclature of Medicine-Clinical Terms. We calculated the overall prevalence rate of diagnosis of CP, described age, and gender-based prevalence rates of CP, and identified associated diagnoses of thrombocytopenia and anemia associated with CP. Explorys is a largereservoir of de-identified, HIPAA-compliant aggregated data of more than 63 million unique patients. First we compared the incidence of thrombocytopenia and anemia between patients with CP and the general population. To generate a cohort of patients representative of the general population, a cohort of patients with any coded disease was pooled except for CP. Moreover, relevant covariates including hospitalization, use of antiepileptic drugs (AED), infections, age, and gender were recorded and will be included in a multivariate analysis. We further sub-grouped patients with CP based on diagnoses of wheelchair dependency and AED exposure as markers of morbidity and risk for blood dyscrasias respectively. Results: We identified 49,492,350 unique patients of whom 93,850 were patients with CP. The prevalence of thrombocytopenia was higher in patients with CP than in the general population (Table 1; 4.91% vs 1.76%, RR 2.8, p&lt;0.0000001). The same case was also noted for anemia (24,4% vs 11,4%, RR 2.1, p&lt;0.0000001). When comparing the baseline characteristics of the two populations it seems that patients with CP are less aged compared to the general population (prevalence of patients &gt;65 yoa , 53% vs 28%). Moreover, the infection rate in patient with CP surpasses that of the general population (infectious disease prevalence 93% vs 77%). On subgroup analysis, wheelchair dependence,AED exposure and any infectious process in patients with CP are risk factors for both anemia and thrombocytopenia. Nonetheless, an infectious process seems to be a stronger risk factor for both thrombocytopenia and anemia compared to AED exposure and wheelchair dependence (WD). More specifically the RR for thrombocytopenia in patients with CP is 7.4 compared to 4.8 and 2.4 for AED exposure and WD respectively. The same pattern is noticed for anemia (RR 4.7 vs 2.6 vs 1.8, p&lt;0.001).Finally, we compared the total hospitalization rate in the past 5 years between patients with CP and with or withoutthrombocytopenia, anemia and cytopenia (defined as thrombocytopenia and anemia). Higher hospitalizations rates were found for patients with CP and with any of the above defined blood cell dyscrasias (Relative risk for hospitalization for patients with CP and thrombocytopenia/anemia/cytopenia vs without, RR 10/9/12.5, P&lt;0.001). Discussion: Our study using large, aggregated data from Explorys demonstrates there is a higher prevalence of thrombocytopenia and anemia in patients with CP. In our cohort, patients with CP with thrombocytopenia and/or anemia were more likely to be hospitalized. Further research is needed to confirm this observed association and to clarify the mechanism of the relationship between CP and cytopenias. Disclosures Ahuja: Genentech: Consultancy, Honoraria; Sanofi Genzyme: Consultancy, Honoraria; XaTek, Inc.: Consultancy, Patents & Royalties, Research Funding.

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