scholarly journals Asociación entre calcificaciones de la glándula pineal y enfermedad aterosclerótica intracraneal en adultos mayores

2022 ◽  
Vol 30 (3) ◽  
pp. 26-30
Author(s):  
Oscar H. Del Brutto ◽  
Robertino M. Mera
Keyword(s):  
Logistic Regression ◽  
Pineal Gland ◽  
Inverse Probability ◽  
Logistic Regression Models ◽  
Intracranial Atherosclerotic Disease ◽  
Study Results ◽  
Intracranial Arteries ◽  
Adjusted Logistic Regression ◽  
Melatonin Production

Abstract Background: This study assesses whether pineal gland calcification (PGC) – a surrogate for reduced endogenous melatonin production – is associated with significant stenosis of large intracranial arteries – a biomarker of intracranial atherosclerotic disease (ICAD). Methods: Individuals aged ≥60 years enrolled in the Three Villages Study received head CT to assess PGC and MRA to estimate stenosis of large intracranial arteries. Multivariate logistic regression models were fitted to assess the association between PGC and ICAD, after adjusting for relevant confounders. Inverse probability of exposure weighting was used to estimate the effect of PGC on ICAD. Results: A total of 581 individuals were enrolled. PGC and ICAD were associated in a fully-adjusted logistic regression model (p=0.032). Inverse probability of exposure weighting showed an estimate for the proportion of ICAD among those without PGC of 3.7% and the adjusted-effect coefficient was 5.7% higher among those with PGC (p=0.031). Conclusions: PGC is associated with ICAD. Study results provide grounds for evaluating the role of melatonin deficiency in ICAD progression. Keywords: Pineal gland calcification, intracranial atherosclerosis, stenosis of large intracranial arteries, melatonin; population study, older adults

Abstract 17220: Risk Factors for Recurrent Peripartum Cardiomyopathy in 783 Women in California

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_1) ◽  
Author(s):  
Punag Divanji ◽  
Gregory Nah ◽  
Ian Harris ◽  
Anu Agarwal ◽  
Nisha I Parikh
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Logistic Regression ◽  
Regression Models ◽  
Subsequent Pregnancy ◽  
Peripartum Cardiomyopathy ◽  
Lv Function ◽  
Logistic Regression Models ◽  
Grand Multiparity ◽  
Adjusted Logistic Regression

Introduction: Characterized by significant left ventricular (LV) dysfunction and clinical heart failure (HF), peripartum cardiomyopathy (PPCM) has an incidence of approximately 1/2200 live births (0.04%). Prior studies estimate that approximately 25% of those with recovered LV function will have recurrent clinical PPCM during subsequent pregnancies, compared to 50% of those without recovered LV function. Specific predictors of recurrent PPCM have not been studied in cohorts with large numbers. Methods: From 2005-2011, we identified 1,872,227 pregnancies by International Classification of Diseases, 9th Revision (ICD-9) codes in the California Healthcare Cost and Utilization Project (HCUP) database, which captures over 95% of the California hospitalized population. Excluding 15,765 women with prior cardiovascular disease (myocardial infarction, coronary artery disease, stroke, HF, valve disease, or congenital heart disease), yielded n=1,856,462 women. Among women without prior cardiovascular disease, we identified index and subsequent pregnancies with PPCM to determine episodes of recurrent PPCM. We considered the following potential predictors of PPCM recurrence in both univariate and age-adjusted logistic regression models: age, race, hypertension, diabetes, smoking, obesity, chronic kidney disease, family history, pre-eclampsia, ectopic pregnancy, income, and insurance status. Results: In HCUP, n=783 women had pregnancies complicated by PPCM (mean age=30.8 years). Among these women, n=133 had a subsequent pregnancy (17%; mean age=28.1 years), with a mean follow-up of 4.34 years (±1.71 years). In this group of 133 subsequent pregnancies, n=14 (10.5%) were complicated by recurrent PPCM, with a mean time-to-event of 2.2 years (±1.89 years). Among the risk factors studied, the only univariate predictor of recurrent PPCM was grand multiparity, defined as ≥ 5 previous deliveries (odds ratio: 22; 95% confidence interval 4.43-118.22). The other predictors we studied were not significantly associated with recurrent PPCM in either univariate or multivariable models. Conclusion: In a large population database in California with 783 cases of PPCM over a 6-year period, 17% of women had a subsequent pregnancy, of which 10.5% had recurrent PPCM. In age-adjusted logistic regression models, grand multiparity was the only statistically significant predictor of recurrent PPCM.

scholarly journals Sleep and daytime problems during the COVID-19 pandemic and effects of coronavirus infection, confinement and financial suffering: a multinational survey using a harmonised questionnaire

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e050672
Author(s):  
Markku Partinen ◽  
Brigitte Holzinger ◽  
Charles M Morin ◽  
Colin Espie ◽  
Frances Chung ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Regression Models ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Logistic Regression Models ◽  
Excessive Sleepiness ◽  
Adjusted Logistic Regression ◽  
Daytime Function

ObjectivesSleep is important for human health and well-being. No previous study has assessed whether the COVID-19 pandemic impacts sleep and daytime function across the globe.MethodsThis large-scale international survey used a harmonised questionnaire. Fourteen countries participated during the period of May–August 2020. Sleep and daytime problems (poor sleep quality, sleep onset and maintenance problems, nightmares, hypnotic use, fatigue and excessive sleepiness) occurring ‘before’ and ‘during’ the pandemic were investigated. In total, 25 484 people participated and 22 151 (86.9%) responded to the key parameters and were included. Effects of COVID-19, confinement and financial suffering were considered. In the fully adjusted logistic regression models, results (weighted and stratified by country) were adjusted for gender, age, marital status, educational level, ethnicity, presence of sleep problems before COVID-19 and severity of the COVID-19 pandemic in each country at the time of the survey.ResultsThe responders were mostly women (64%) with a mean age 41.8 (SD 15.9) years (median 39, range 18–95). Altogether, 3.0% reported having had COVID-19; 42.2% reported having been in confinement; and 55.9% had suffered financially. All sleep and daytime problems worsened during the pandemic by about 10% or more. Also, some participants reported improvements in sleep and daytime function. For example, sleep quality worsened in about 20% of subjects and improved in about 5%. COVID-19 was particularly associated with poor sleep quality, early morning awakening and daytime sleepiness. Confinement was associated with poor sleep quality, problems falling asleep and decreased use of hypnotics. Financial suffering was associated with all sleep and daytime problems, including nightmares and fatigue, even in the fully adjusted logistic regression models.ConclusionsSleep problems, fatigue and excessive sleepiness increased significantly worldwide during the first phase of the COVID-19 pandemic. Problems were associated with confinement and especially with financial suffering.

Surgical oncology outcomes: The role of nurse practice environments

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 6105-6105
Author(s):  
C. R. Friese ◽  
L. H. Aiken
Keyword(s):  
Logistic Regression ◽  
Patient Outcomes ◽  
Regression Models ◽  
Surgical Oncology ◽  
Cancer Center ◽  
Practice Environment ◽  
Failure To Rescue ◽  
Oncology Patient ◽  
Logistic Regression Models

6105 Background: Increased attention has focused on the role of hospital characteristics on cancer patient outcomes. We examined two cancer-specific credentials, as well registered nurse practice environments, on outcomes of care. Methods: Through secondary analysis of existing data from hospital claims, the tumor registry, and a statewide of survey of nurses (RNs), we studied 30-day mortality (D) and failure to rescue (death given a complication) (FTR) for surgical oncology patients treated in 164 Pennsylvania hospitals from 1998–1999 (N=24,618). We compared D and FTR rates by a hospital’s NCI cancer center designation, American College of Surgeon’s (ACoS) cancer program approval and categorized scores on the Practice Environment Scale of the Nursing Work Index (PES-NWI). The PES-NWI scales measure RN participation in hospital affairs, RN foundations for quality of care, nurse manager leadership/support, staffing/resource adequacy, and RN-physician relations. Multivariate logistic regression models examined predictors of D and FTR, controlling for 25 patient variables. Standard errors were corrected for patient clustering in hospitals. Results: NCI centers had lower D and FTR rates (p < .01). ACoS hospitals had lower D and FTR rates (ns). Hospitals with low scores on PES-NWI scales had the poorest outcomes (p < .01). In logistic regression models, significant predictors included unfavorable PES-NWI Scores for D (OR=1.32, 95% CI: 1.06–1.65) and FTR (OR=1.39, 95% CI:1.03–1.88), and NCI centers for D (OR=0.64, 95% CI: 0.50–0.83) and FTR (OR=0.67, 95% CI: 0.47–0.96). The NCI effect lost significance when environment was included. ACoS program effects were small (OR= 0.99, p = .90) for both outcomes. Conclusions: Favorable outcomes in NCI centers may be partly explained by practice environments. The practice environment of RNs significantly predicts surgical oncology patient outcomes, and should be a focus of quality improvement activities. No significant financial relationships to disclose.

Multiple Myeloma in the Afro-Caribbean Inner City Population: Conventional Cytogenetics and Survival

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5710-5710
Author(s):  
Dhvani Thakker ◽  
Charles Yun ◽  
Adam Goldrich ◽  
Helzner Elizabeth ◽  
Daniel Fein ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Logistic Regression ◽  
Survival Data ◽  
Poor Prognosis ◽  
Regression Models ◽  
Chromosome Banding ◽  
Newly Diagnosed ◽  
Cytogenetic Abnormalities ◽  
Logistic Regression Models ◽  
Adjusted Logistic Regression

Abstract Background: Multiple Myeloma (MM) is the second most common hematologic malignancy in the United States. African Americans have among the highest risks of MM and MGUS with several distinct features compared to existing literature. Furthermore, the prevalence of MM is even higher in the Afro-Caribbean population. Cytogenetic and molecular genetic abnormalities predict outcome in patients with MM. Hyperdiploid MM (H-MM) generally has a better prognosis than nonhyperdiploid MM (NH-MM). In addition, patients with additional chromosome 1 abnormalities, loss of chromosome 13, translocation t(14;16) and t(4;14) tend to have a worse survival while patients with translocations t(11;14) are associated with improved survival. In our patient population, the most common cytogenetic abnormalities and their effect on survival remain unknown. Objective: This study was performed to establish a profile of Afro-Caribbean patients with newly diagnosed Multiple Myeloma in order to gain further insight into unique cytogenetic abnormalities and their effects on survival. Methods: Patients with Multiple Myeloma at Kings County Hospital Center and University Hospital at Brooklyn from 2000-2013 were identified by our tumor registries (n=311). We included all the newly diagnosed patients from 2000-2013 who underwent a bone marrow biopsy and conventional cytogenetic by chromosome banding and FISH (n= 173). Patients who did not have a cytogenetic analysis were excluded. Data was collected at the time of initial presentation to include demographics and cytogenetic abnormalities. Survival data was obtained from Social Security Death Index. Differences in frequency of each cytogenetic abnormality by mortality status were examined using Chi-Square or Fisher’s Exact Tests. Two sets of age-adjusted logistic regression models were used to examine potential cytogenetic correlates of both poor (less than two years) and good (4 years or more) survival. Data analysis was performed using SPSS Advanced Statistics. Results: The median age at the time of diagnosis was 65 (Range 36-90). Chromosome banding and FISH showed abnormal cytogenetics in 46% of our patients (n=79). These patients were also found to have multiple abnormal clones. NH-MM was found in 24% (n=19) and H-MM was found in 39% (n=31) of the 79 patients. The most commonly affected abnormalities were trisomiesof odd-numbered chromosomes; +1 (47%), +3 (19%), +5 (21%), +7 (24%), +9 (47%), +11 (42%), +15 (44%), +17 (9%) and +19 (29%). Thirty five percent of 173 patients have expired (n=60). The median survival in the deceased patients was 6.2 years (Range 0.34-12.9). When we examined all patients who lived greater than four years post-diagnosis (n=152), we found significant abnormalities including +5 (p=0.052), NH-MM (p=0.009) and t(11;14) (p=0.03) (See Table 1). Indicators of poor prognosis including 1q gain (p=0.13), loss of chromosome 13 (p=0.21) and del17 (p=0.08) were not significant. In patients who are living, 19% (n=29) have not yet reached the four-year post-diagnosis survival. Less than ten percent underwent autologous stem cell transplantation. Excludes patients who lived less than 3 months post diagnosis August 5 2014 Table 1: Age-Adjusted Logistic Regression Models Predicting Good Survival (lived 4 years or more post-diagnosis) Chromosome abnormality ( + gain, - loss) Age-Adjusted Odds Ratio (95% CI) N=152 P-value 1+ 0.77 (0.26, 2.29) 0.63 1- 2.91 (0.58, 14.57) 0.19 3+ 1.05 (0.35, 3.17) 0.93 5+ 0.47 (0.22, 1.00) 0.052 7+ 0.39 (0.14, 1.10) 0.08 11+ 0.80 (0.36, 1.75) 0.57 14+ 2.07 (0.62, 6.91) 0.24 15+ 0.74 (0.34,1.60) 0.44 19+ 1.20 (0.46, 3.13) 0.71 X- 0.42 (0.11, 1.50) 0.18 Y- 0.40 (0.13, 1.26) 0.12 Hyperdiploidy 0.88 (0.39, 2.00) 0.88 Nonhyperdiplody 0.24 (0.08, 0.70) 0.009 t(4;14) 0.76 (0.27, 2.15) 0.60 t(11;14) 0.18 (0.04, 0.86) 0.03 Conclusion: In this group of Afro-Caribbean patients, median survival (6 years) was higher than Surveillance, Epidemiology, and End Results (SEER) data and more recent review of literature. Gain of chromosome 5 and t(11;14) are consistent with existing data for good prognosis. However, NH-MM which is usually an indicator of poor prognosis was also highly significant in the four-year post-diagnosis survival. This further supports the notion that prognostic value of cytogenetic analysis in this population requires further exploration. Disclosures No relevant conflicts of interest to declare.

scholarly journals Racial differences in crossing major growth percentiles in infancy

2017 ◽  
Vol 103 (8) ◽  
pp. 795-797 ◽  
Author(s):  
Summer Sherburne Hawkins ◽  
Sheryl L Rifas-Shiman ◽  
Matthew W Gillman ◽  
Elsie M Taveras
Keyword(s):  
Body Mass Index ◽  
Logistic Regression ◽  
Weight Gain ◽  
Racial Differences ◽  
Regression Models ◽  
Black Children ◽  
Rapid Weight Gain ◽  
White Children ◽  
Logistic Regression Models ◽  
Adjusted Logistic Regression

Background/aimsWe examined associations of ever crossing upwards ≥2 (vs <2) major weight-for-length (WFL) percentiles in the first 24 months with obesity at 5 years among white and black children.MethodsWe included 10 979 white and 1245 black children from the Linked CENTURY Study with percentile crossing data in all four 6-month periods in the first 24 months and obesity (age-specific and sex-specific body mass index ≥95th percentile) at 5 years. We used adjusted logistic regression models and stratified by race.Results64% of children crossed upwards ≥2 major WFL percentiles in the first 2 years. Among white children, 12% were obese vs 7% for <2 crossings, while among black children the frequencies were 23% vs 9%. Black children (adjusted OR 2.94, 2.04 to 4.23) who had ever crossed upwards ≥2 major WFL percentiles had a higher odds of obesity at age 5 than white children (adjusted OR 1.89, 1.64 to 2.18) (interaction p=0.02).ConclusionsOur results suggest that rapid weight gain in infancy is more deleterious among black than white children for later obesity.

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