, 2015. Pathogens isolated and antimicrobial susceptibility results were identified using the HealthFacts® microbiology and microbiology susceptibility datasets, respectively. Site of pathogen isolation was identified from descriptions in the microbiology dataset.
All complications and sequelae were assessed in the two years following the initial diagnosis. Limb length discrepancies were identified using 22 different ICD-10 diagnosis codes. Long-term orthopedic follow-up was defined as the need for orthopedic follow-up between one and two years following the initial diagnosis. Surgeries related to the osteomyelitis diagnosis were quantified by the assessment of Healthcare Common Procedure Coding System procedures codes.
Descriptive statistics, including means and quartiles, were calculated according to type of osteomyelitis. Differences for categorical variables were determined using the chi-square statistic, and t-tests for mean differences or Wilcoxon rank sum tests/two-sample median test for median differences in distributions by osteomyelitis type and for assessment of age differences. A two-tailed-value of < 0.05 was considered statistically significant.
Acute osteomyelitis was the most common presentation, representing 60.5% of all cases . Chronic co-morbidities were present in 92 subjects , with hematologic and oncologic disorders , pressure ulcers and diabetes most commonly reported.Boys were more commonly affected for both types of osteomyelitis , though this did not reach statistical significance. Children with chronic osteomyelitis were older than those with acute osteomyelitis .
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Dysbiotic microbiome variation in colorectal cancer patients is linked to lifestyles and metabolic diseases - BMC MicrobiologyBackground Differences in the composition and diversity of the gut microbial communities among individuals are influenced by environmental factors. However, there is limited research on factors affecting microbiome variation in colorectal cancer patients, who display lower inter-individual variations than that of healthy individuals. In this study, we examined the association between modifiable factors and the microbiome variation in colorectal cancer patients. Methods A total of 331 colorectal cancer patients who underwent resection surgery at the Department of Surgery, Seoul National University Hospital between October 2017 and August 2019 were included. Fecal samples from colorectal cancer patients were collected prior to the surgery. Variations in the gut microbiome among patients with different lifestyles and metabolic diseases were examined through the network analysis of inter-connected microbial abundance, the assessment of the Anna Karenina principle effect for microbial stochasticity, and the identification of the enriched bacteria using linear discrimination analysis effect size. Associations of dietary diversity with microbiome variation were investigated using the Procrustes analysis. Results We found stronger network connectivity of microbial communities in non-smokers, non-drinkers, obese individuals, hypertensive subjects, and individuals without diabetes than in their counterparts. The Anna Karenina principle effect was found for history of smoking, alcohol consumption, and diabetes (with significantly greater intra-sample similarity index), whereas obesity and hypertension showed the anti-Anna Karenina principle effect (with significantly lower intra-sample similarity index). We found certain bacterial taxa to be significantly enriched in patients of different categories of lifestyles and metabolic diseases using linear discrimination analysis. Diversity of food and nutrient intake did not shape the microbial diversity between individuals (pProcrus
Source: BioMedCentral - 🏆 22. / 71 Read more »
Sen. John Fetterman Will Likely Be in Hospital for a Few Weeks for Clinical Depression TreatmentFetterman suffered a life-threatening stroke during his Senate campaign, but still defeated his Trump-backed Republican challenger, Dr. Mehmet Oz.
Source: NECN - 🏆 20. / 71 Read more »
Sleep characteristics of middle-aged adults with non-alcoholic fatty liver disease: findings from the Shahrekord PERSIAN cohort study - BMC Public HealthBackground Several studies have reported short sleep duration in people with non-alcoholic fatty liver disease (NAFLD) but other sleep characteristics have been less studied. We aimed to assess the cross-sectional association of NAFLD with sleep duration and quality in an Iranian population sample. Methods We used data from 9,151 participants in the Shahrekord Prospective Epidemiological Research Studies in Iran (PERSIAN) Cohort Study, including 1,320 that were diagnosed with NAFLD. Log-binomial regression models sequentially adjusted for sociodemographic, lifestyle, clinical and biological variables were used to estimate relative risks (RR) and 95% confidence intervals (95% CI) for the association between NAFLD and sleep characteristics. Results Participants with NAFLD had shorter sleep duration, later wake-up time and bedtime, worse sleep efficiency, and more frequent daytime napping and use of sleeping pills, in age- and sex-adjusted models. After controlling for sociodemographic, lifestyle, clinical, and biological variables the associations remained strong for sleep efficiency (per 10%, RR = 0.92, 95%CI: 0.88–0.96) and use of sleeping pills (RR = 1.48, 95%CI: 1.17–1.88). The association between NAFLD and sleep efficiency was stronger in participants aged | 60 years (RR = 0.81, 0.70–0.93) and 40–60 years (RR = 0.87, 0.82–0.94), compared with those aged | 40 years (P-heterogeneity | 0.001). More frequent daytime napping in participants with NAFLD, compared with non-NAFLD, was observed in males but not females (P-heterogeneity = 0.007), and in those with body mass index (BMI) | 30 but not in obese participants (P-heterogeneity | 0.001). Conclusions Diagnosis of NAFLD is associated with several poor sleep characteristics in middle-aged Iranians. Although longitudinal studies would help to clarify the direction of causality, our study shows that poor sleep is an important aspect of NAFLD.
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Escalating costs of self-injury mortality in the 21st century United States: an interstate observational study - BMC Public HealthBackground Estimating the economic costs of self-injury mortality (SIM) can inform health planning and clinical and public health interventions, serve as a basis for their evaluation, and provide the foundation for broadly disseminating evidence-based policies and practices. SIM is operationalized as a composite of all registered suicides at any age, and 80% of drug overdose (intoxication) deaths medicolegally classified as ‘accidents,’ and 90% of corresponding undetermined (intent) deaths in the age group 15 years and older. It is the long-term practice of the United States (US) Centers for Disease Control and Prevention (CDC) to subsume poisoning (drug and nondrug) deaths under the injury rubric. This study aimed to estimate magnitude and change in SIM and suicide costs in 2019 dollars for the United States (US), including the 50 states and the District of Columbia. Methods Cost estimates were generated from underlying cause-of-death data for 1999/2000 and 2018/2019 from the US Centers for Disease Control and Prevention’s (CDC’s) Wide-ranging ONline Data for Epidemiologic Research (WONDER). Estimation utilized the updated version of Medical and Work Loss Cost Estimation Methods for CDC’s Web-based Injury Statistics Query and Reporting System (WISQARS). Exposures were medical expenditures, lost work productivity, and future quality of life loss. Main outcome measures were disaggregated, annual-averaged total and per capita costs of SIM and suicide for the nation and states in 1999/2000 and 2018/2019. Results 40,834 annual-averaged self-injury deaths in 1999/2000 and 101,325 in 2018/2019 were identified. Estimated national costs of SIM rose by 143% from $0.46 trillion to $1.12 trillion. Ratios of quality of life and work losses to medical spending in 2019 US dollars in 2018/2019 were 1,476 and 526, respectively, versus 1,419 and 526 in 1999/2000. Total national suicide costs increased 58%—from $318.6 billion to $502.7 billion. National per capita costs of SIM double
Source: BioMedCentral - 🏆 22. / 71 Read more »
Maternal prenatal cholesterol levels predict offspring weight trajectories during childhood in the Norwegian Mother, Father and Child Cohort Study - BMC MedicineBackground Numerous intrauterine factors may affect the offspring’s growth during childhood. We aimed to explore if maternal and paternal prenatal lipid, apolipoprotein (apo)B and apoA1 levels are associated with offspring weight, length, and body mass index from 6 weeks to eight years of age. This has previously been studied to a limited extent. Methods This parental negative control study is based on the Norwegian Mother, Father and Child Cohort Study and uses data from the Medical Birth Registry of Norway. We included 713 mothers and fathers with or without self-reported hypercholesterolemia and their offspring. Seven parental metabolites were measured by nuclear magnetic resonance spectroscopy, and offspring weight and length were measured at 12 time points. Data were analyzed by linear spline mixed models, and the results are presented as the interaction between parental metabolite levels and offspring spline (age). Results Higher maternal total cholesterol (TC) level was associated with a larger increase in offspring body weight up to 8 years of age (0.03 ≤ Pinteraction ≤ 0.04). Paternal TC level was not associated with change in offspring body weight (0.17 ≤ Pinteraction ≤ 0.25). Higher maternal high-density lipoprotein cholesterol (HDL-C) and apoA1 levels were associated with a lower increase in offspring body weight up to 8 years of age (0.001 ≤ Pinteraction ≤ 0.005). Higher paternal HDL-C and apoA1 levels were associated with a lower increase in offspring body weight up to 5 years of age but a larger increase in offspring body weight from 5 to 8 years of age (0.01 ≤ Pinteraction ≤ 0.03). Parental metabolites were not associated with change in offspring height or body mass index up to 8 years of age (0.07 ≤ Pinteraction ≤ 0.99). Conclusions Maternal compared to paternal TC, HDL-C, and apoA1 levels were more strongly and consistently associated with offspring body weight during childhood, supporting a direct intrauterine effect.
Source: BioMedCentral - 🏆 22. / 71 Read more »