Characteristics of Family Dynamics among Japanese Families in Japan

The purpose of this study is to identify family dynamics and their relationships to selected socio-demographic characteristics and mental status among Japanese families in Japan. The Family Dynamics Measure II (FDM II) and a socio-demographic questionnaire were used to obtain data. Participants (n=195; male n=62, female n=129, gender unknown n=4) were obtained from a city, western outskirts of Tokyo. Majority of respondents were married (n=165, 84.6%) and with children (n=128, 65.6%). Family size ranged from 2 to 9 persons (mean= 3.66, SD=1.42). Three-generation families, I.e. presences of grandparent(s), daughter(s)-in-law, and parent(s)-in-law (n=25, 12.8%) were small in numbers. When there were family members ages over 70, female respondents showed negative relations to 4 of 6 dimensions of FDM II. Further, when there were family members ages between 12-17, both male and female respondents showed negative relationships to 3 of 6 dimensions of FDM II. Mental status showed a positive relationship to age of male respondents. Nurses should be aware of relationships between affecting factors and dimensions of family dynamics. The understanding of these gender differences among males and females and the conditions of the family could be quite helpful when advising or counseling family members for betterment of family health

Pediatric AML: From Biology to Clinical Management

Pediatric acute myeloid leukemia (AML) represents 15%–20% of all pediatric acute leukemias. Survival rates have increased over the past few decades to ~70%, due to improved supportive care, optimized risk stratification and intensified chemotherapy. In most children, AML presents as a de novo entity, but in a minority, it is a secondary malignancy. The diagnostic classification of pediatric AML includes a combination of morphology, cytochemistry, immunophenotyping and molecular genetics. Outcome is mainly dependent on the initial response to treatment and molecular and cytogenetic aberrations. Treatment consists of a combination of intensive anthracycline- and cytarabine-containing chemotherapy and stem cell transplantation in selected genetic high-risk cases or slow responders. In general, ~30% of all pediatric AML patients will suffer from relapse, whereas 5%–10% of the patients will die due to disease complications or the side-effects of the treatment. Targeted therapy may enhance anti-leukemic efficacy and minimize treatment-related morbidity and mortality, but requires detailed knowledge of the genetic abnormalities and aberrant pathways involved in leukemogenesis. These efforts towards future personalized therapy in a rare disease, such as pediatric AML, require intensive international collaboration in order to enhance the survival rates of pediatric AML, while aiming to reduce long-term toxicity

A Clinical Prediction Rule for Histological Chorioamnionitis in Preterm Newborns

Background: Histological chorioamnionitis (HC) is an intrauterine inflammatory process highly associated with preterm birth and adverse neonatal outcome. HC is often clinically silent and diagnosed postnatally by placental histology. Earlier identification could facilitate treatment individualisation to improve outcome in preterm newborns. Aim: Develop a clinical prediction rule at birth for HC and HC with fetal involvement (HCF) in preterm newborns. Methods: Clinical data and placental pathology were obtained from singleton preterm newborns (gestational age <= 32.0 weeks) born at Erasmus UMC Rotterdam from 2001 to 2003 (derivation cohort; n = 216) or Maxima MC Veldhoven from 2009 to 2010 (validation cohort; n = 206). HC and HCF prediction rules were developed with preference for high sensitivity using clinical variables available at birth. Results: HC and HCF were present in 39% and 24% in the derivation cohort and in 44% and 22% in the validation cohort, respectively. HC was predicted with 87% accuracy, yielding an area under ROC curve of 0.95 (95% CI = 0.92-0.98), a positive predictive value of 80% (95% CI = 74-84%), and a negative predictive value of 93% (95% CI = 88-96%). Corresponding figures for HCF were: accuracy 83%, area under ROC curve 0.92 (95% CI = 0.88-0.96), positive predictive value 59% (95% CI = 52-62%), and negati Conclusion: Using a clinical prediction rule composed of clinical variables available at birth, HC and HCF could be predicted with good test characteristics in preterm newborns. Further studies should evaluate the clinical value of these rules to guide early treatment individualisation

Course and Predictors of Pain and Physical Functioning in Patients with Hip Osteoarthritis: Systematic Review and Meta-Analysis

Objective: To systematically summarize the literature on: (i) the course of pain and physical functioning; and (ii) predictors of deterioration of pain and physical functioning in patients with osteoarthritis of the hip. Methods: A literature search was conducted in PubMed, CINAHL, Embase, PsychINFO and SPORTDiscus up to July 2015. Meta-analyses and qualitative data syntheses were performed. Results: Eleven of the 15 included studies were of high quality. With regard to the course of pain and physical functioning, high heterogeneity was found across studies (I2 >71%) and within study populations (reflected by large standard deviations of change scores). Therefore, the course of pain and physical functioning was interpreted to be indistinct. Clinical characteristics (higher comorbidity count and presence of knee osteoarthritis), health behaviour factors (no supervised exercise and physical inactivity) and socio-demographics (lower education) were found to predict deterioration of pain (weak evidence). Higher comorbidity count and lower vitality were found to predict deterioration of physical functioning (strong evidence). For several other predictive factors weak evidence was found (e.g. bilateral hip pain, increase in hip pain (change), bilateral knee pain, presence of knee osteoarthritis). Conclusion: Because of high heterogeneity across studies and within study populations, no conclusions can be drawn with regard to the course of pain and physical functioning. Several clinical characteristics, health behaviours and psychosocial factors prognosticate deterioration of pain and physical functioning. These findings may guide future research aimed at the identification of subgroups of patients with hip osteoarthritis.peerReviewe

Course and predictors of pain and physical functioning in patients with hip osteoarthritis : Systematic review and meta-analysis

OBJECTIVE: To systematically summarize the literature on: (i) the course of pain and physical functioning; and (ii) predictors of deterioration of pain and physical functioning in patients with osteoarthritis of the hip. METHODS: A literature search was conducted in PubMed, CINAHL, Embase, PsychINFO and SPORTDiscus up to July 2015. Meta-analyses and qualitative data syntheses were performed. RESULTS: Eleven of the 15 included studies were of high quality. With regard to the course of pain and physical functioning, high heterogeneity was found across studies (I2 > 71%) and within study populations (reflected by large standard deviations (SDs) of change scores). Therefore, the course of pain and physical functioning was interpreted to be indistinct. Clinical characteristics (higher comorbidity count and presence of knee osteoarthritis), health behaviour factors (no supervised exercise and physical inactivity) and socio-demographics (lower education) were found to predict deterioration of pain (weak evidence). Higher comorbidity count and lower vitality were found to predict deterioration of physical functioning (strong evidence). For several other predictive factors weak evidence was found (e.g. bilateral hip pain, increase in hip pain (change), bilateral knee pain, presence of knee osteoarthritis). CONCLUSION: Because of high heterogeneity across studies and within study populations, no conclusions can be drawn with regard to the course of pain and physical functioning. Several clinical characteristics, health behaviours and psychosocial factors prognosticate deterioration of pain and physical functioning. These findings may guide future research aimed at the identification of subgroups of patients with hip osteoarthritis