5 research outputs found
Pulmonary nontuberculous mycobacterial disease in Florida and association with large-scale natural disasters
Little is known about the impact of the ecosystem disruption and its contribution on the non-tuberculosis mycobacteria (NTM) diseases (cases) rate in Florida (FL), a state with a high prevalence of NTM in the United States. We aimed to evaluate the epidemiological distribution of NTM in FL and identify its association with extreme weather events.We used OneFlorida Clinical Research Consortium dataset and extracted data on NTM cases using ICD codes 9- CM 031.0 and ICD-10 A31 during 2012-2018. The number of hurricanes during the study period which affected FL were extracted data from the National Hurricane Center (NHC) and the National Oceanic and Atmospheric Administration (NOAA).Prevalence of NTM gradually increased during the study period. The rate was 2012: 14.3/100,000, 2015; 20.1/100,000 and 2018; 22.6/100,00 except in 2014 where there was an 8% decrease. The incidences were 2012; 6.5/100,00, 2015; 4.9/100,000 and in 2015; 5.4/100,000. Geographical analysis demonstrated a gradual expansion of the NTM cases in Alachua, and Marion Counties throughout the study period. Notably, the 2018 heat map showed higher prevalence of NTM in the northwestern, panhandle region of FL which had been absent in the heat maps for years 2012-2018. High number of the hurricanes was associated with the higher number of the new cases of NTM infection for years 2012, 2016-2018, while the lower number of the hurricanes was associated with the lower number of the new cases of NTM infection for years 2014-2015.The current study found the prevalence rates of NTM disease in FL rose from 2012 to 2018. A higher prevalence was seen following the hurricanes
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Determinants of accurate visual perception of child anthropometric phenotype among ethnically diverse preschool parents in the United States
The literature reports that regardless of the high obesity prevalence estimates in young children, parents often do not accurately perceive their child's weight status. The purpose of this analysis was to examine the association between parent/child demographic characteristics including ethnicity, country of birth and years living in the United States and the perception of child's anthropometric phenotype status based on a visual silhouette instrument. Caregiver (n = 456) and child sociodemographic, perception of child anthropometric phenotype status and height/weight measurements were collected in 2015, from 24 childcare centres in Miami, Florida, among children ages 2‐to‐5 years old. Chi‐square analysis determined parent perception accuracy by actual child healthy (<body mass index [BMI] 85th percentile) or unhealthy (≥ BMI 85th percentile) status. Multivariable linear regression modelled phenotype trends by caregiver perception. Twenty‐eight per cent of the sample was of unhealthy weight. Overall, 74.6% of caregivers did not accurately identify their child's BMI phenotype category versus 25% who did (p < .001); 8% of Hispanic and 13% of non‐Hispanic parents of a child with an unhealthy BMI correctly identified their child's anthropometric phenotype. A higher proportion of Cuban (22%) caregivers of a child with an unhealthy BMI percentile versus Mexican caregivers (13.9%) visually identified their child as healthy weight. Child BMI percentile was significantly associated with parent perception of child healthy phenotype (OR: 1.05, 95% CI 1.04, 1.06). Findings here add evidence to the existing body of literature that emphasise parent perception of child weight status as a critical lynchpin in the childhood obesity epidemic. Intervention efforts must continue to educate parents on healthy weight development strategies
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Lack of tocilizumab effect on mortality in COVID19 patients
Off-label tocilizumab use in COVID-19 patients reflects concern for cytokine release syndrome. Comparison of matched COVID-19 pneumonia patients found elevated IL-6 levels correlated with mortality that did not change with tocilizumab administration. Correlating mortality with increased IL-6 doesn’t imply causality however lack of improvement by tocilizumab requires further clinical trial alterations
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Role of IgG against N-protein of SARS-CoV2 in COVID19 clinical outcomes
The Nucleocapsid Protein (N Protein) of severe acute respiratory syndrome Coronavirus 2 (SARS-CoV2) is located in the viral core. Immunoglobulin G (IgG) targeting N protein is detectable in the serum of infected patients. The effect of high titers of IgG against N-protein on clinical outcomes of SARS-CoV2 disease has not been described. We studied 400 RT-PCR confirmed SARS-CoV2 patients to determine independent factors associated with poor outcomes, including Medical Intensive Care Unit (MICU) admission, prolonged MICU stay and hospital admissions, and in-hospital mortality. We also measured serum IgG against the N protein and correlated its concentrations with clinical outcomes. We found that several factors, including Charlson comorbidity Index (CCI), high levels of IL6, and presentation with dyspnea were associated with poor clinical outcomes. It was shown that higher CCI and higher IL6 levels were independently associated with in-hospital mortality. Anti-N protein IgG was detected in the serum of 55 (55%) patients at the time of admission. A high concentration of antibodies, defined as signal to cut off ratio (S/Co) > 1.5 (75 percentile of all measurements), was found in 25 (25%) patients. The multivariable logistic regression models showed that between being an African American, higher CCI, lymphocyte counts, and S/Co ratio > 1.5, only S/Co ratio were independently associated with MICU admission and longer length of stay in hospital. This study recommends that titers of IgG targeting N-protein of SARS-CoV2 at admission is a prognostic factor for the clinical course of disease and should be measured in all patients with SARS-CoV2 infection