Transfusion Transmission of GB Virus Type C (HGV) In a Cohort of HIV Infected Patients

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3341-3341
Author(s):  
Farnaz Vahidnia ◽  
Maya Petersen ◽  
George Rutherford ◽  
Michael Busch ◽  
Susan Assmann ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Virus Type ◽  
Conflicts Of Interest ◽  
Significant Risk ◽  
Hiv Viral Load ◽  
Total Blood ◽  
Logistic Regression Models ◽  
Blood Institute ◽  
Type C ◽  
The Impact

Abstract Abstract 3341 Background: GB virus type C (GBV-C) infection is common with 3–5% rates of viremia in blood donors and a much higher prevalence in HIV infected patients. GBV-C is transmitted by sexual or blood exposure. Although infection may persist, most immune competent individuals clear viremia within 2 years. Few data describe the clinical course of acute GBV-C infection following transfusion in HIV infected patients. We estimated risk of GBV-C RNA acquisition following transfusion. Methods: We used a limited access database from the National Heart Lung and Blood Institute from the Viral Activation Transfusion Study (VATS). A RCT of leukoreduced (LR) vs. non-LR transfusion, VATS collected blood samples from U.S. HIV infected transfusion naïve patients. GBV-C RNA in pre- and post transfusion samples was tested after completion of VATS. GBV-C RNA acquisition up to 120 days post-transfusion was examined in 294 patients who were GBV-C RNA and antibody negative before transfusion. Discrete hazard of GBV-C RNA acquisition as a function of cumulative units transfused was estimated using pooled logistic regression. Results: GBV-C RNA was detected in 22 (7.5%) of 294 subjects within 120 days following first transfusion. Viremia was detected within the first 30 days in 12 (4.1%) subjects and between 31 and 120 days in 10 (3.4%) subjects. Median (IQR) follow-up duration and total blood units transfused for subjects who acquired GBV-C RNA or stayed negative were: 88.5 (80-108) and 77.5 (32-100) days; and 4 (2-7) and 4 (2-6) units, respectively (Table 1). Discrete hazard of GBV-C RNA acquisition increased with each additional unit transfused (OR=1.09, 95% CI=1.06, 1.11) (Table 2). In pooled logistic regression models, lower baseline HIV viral load and use of antiretroviral therapy (ART) predicted subsequent GBV-C RNA acquisition after controlling for units of blood transfused. Leukoreduction status was not associated with GBV-C transmission. Conclusion: Blood transfusion is associated with significant risk of GBV-C acquisition in HIV infected patients. Establishing evidence for transfusion transmission of GBV-C will allow additional studies on the impact of acute acquisition on the course of HIV infection in co-infected patients. Disclosures: No relevant conflicts of interest to declare.

The impact of SPY angiography on intraoperative decision making and outcomes for post-mastectomy reconstruction

2019 ◽  
pp. 1-5
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Skin Necrosis ◽  
Regression Models ◽  
Multivariable Analysis ◽  
P Value ◽  
Flap Necrosis ◽  
Single Institution ◽  
Logistic Regression Models ◽  
The Impact

Objective: While the use of intraoperative laser angiography (SPY) is increasing in mastectomy patients, its impact in the operating room to change the type of reconstruction performed has not been well described. The purpose of this study is to investigate whether SPY angiography influences post-mastectomy reconstruction decisions and outcomes. Methods and materials: A retrospective analysis of mastectomy patients with reconstruction at a single institution was performed from 2015-2017.All patients underwent intraoperative SPY after mastectomy but prior to reconstruction. SPY results were defined as ‘good’, ‘questionable’, ‘bad’, or ‘had skin excised’. Complications within 60 days of surgery were compared between those whose SPY results did not change the type of reconstruction done versus those who did. Preoperative and intraoperative variables were entered into multivariable logistic regression models if significant at the univariate level. A p-value <0.05 was considered significant. Results: 267 mastectomies were identified, 42 underwent a change in the type of planned reconstruction due to intraoperative SPY results. Of the 42 breasts that underwent a change in reconstruction, 6 had a ‘good’ SPY result, 10 ‘questionable’, 25 ‘bad’, and 2 ‘had areas excised’ (p<0.01). After multivariable analysis, predictors of skin necrosis included patients with ‘questionable’ SPY results (p<0.01, OR: 8.1, 95%CI: 2.06 – 32.2) and smokers (p<0.01, OR:5.7, 95%CI: 1.5 – 21.2). Predictors of any complication included a change in reconstruction (p<0.05, OR:4.5, 95%CI: 1.4-14.9) and ‘questionable’ SPY result (p<0.01, OR: 4.4, 95%CI: 1.6-14.9). Conclusion: SPY angiography results strongly influence intraoperative surgical decisions regarding the type of reconstruction performed. Patients most at risk for flap necrosis and complication post-mastectomy are those with questionable SPY results.

scholarly journals Effect of prostatic apex shape (Lee types) and urethral sphincter length in preoperative MRI on very early continence rates after radical prostatectomy

2021 ◽  
Author(s):  
Mike Wenzel ◽  
Felix Preisser ◽  
Matthias Mueller ◽  
Lena H. Theissen ◽  
Maria N. Welte ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Radical Prostatectomy ◽  
Regression Models ◽  
Urethral Sphincter ◽  
Anatomical Characteristics ◽  
Logistic Regression Models ◽  
Pad Test ◽  
Type D ◽  
Multivariable Logistic Regression ◽  
Type C

Abstract Purpose To test the effect of anatomic variants of the prostatic apex overlapping the membranous urethra (Lee type classification), as well as median urethral sphincter length (USL) in preoperative multiparametric magnetic resonance imaging (mpMRI) on the very early continence in open (ORP) and robotic-assisted radical prostatectomy (RARP) patients. Methods In 128 consecutive patients (01/2018–12/2019), USL and the prostatic apex classified according to Lee types A–D in mpMRI prior to ORP or RARP were retrospectively analyzed. Uni- and multivariable logistic regression models were used to identify anatomic characteristics for very early continence rates, defined as urine loss of ≤ 1 g in the PAD-test. Results Of 128 patients with mpMRI prior to surgery, 76 (59.4%) underwent RARP vs. 52 (40.6%) ORP. In total, median USL was 15, 15 and 10 mm in the sagittal, coronal and axial dimensions. After stratification according to very early continence in the PAD-test (≤ 1 g vs. > 1 g), continent patients had significantly more frequently Lee type D (71.4 vs. 54.4%) and C (14.3 vs. 7.6%, p = 0.03). In multivariable logistic regression models, the sagittal median USL (odds ratio [OR] 1.03) and Lee type C (OR: 7.0) and D (OR: 4.9) were independent predictors for achieving very early continence in the PAD-test. Conclusion Patients’ individual anatomical characteristics in mpMRI prior to radical prostatectomy can be used to predict very early continence. Lee type C and D suggest being the most favorable anatomical characteristics. Moreover, longer sagittal median USL in mpMRI seems to improve very early continence rates.

scholarly journals EPID-34. THE DETRIMENTAL EFFECT OF BIOPSY PRECEDING RESECTION IN SURGICALLY ACCESSIBLE GLIOBLASTOMAS: RESULTS FROM THE NATIONAL CANCER DATABASE

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii85-ii86
Author(s):  
Ping Zhu ◽  
Xianglin Du ◽  
Angel Blanco ◽  
Leomar Y Ballester ◽  
Nitin Tandon ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Failure Time ◽  
Binary Logistic Regression ◽  
Rank Test ◽  
Imaging Features ◽  
National Cancer Database ◽  
Prolonged Length ◽  
Logistic Regression Models ◽  
Operative Outcomes ◽  
The Impact

Abstract OBJECTIVES To investigate the impact of biopsy preceding resection compared to upfront resection in glioblastoma overall survival (OS) and post-operative outcomes using the National Cancer Database (NCDB). METHODS A total of 17,334 GBM patients diagnosed between 2010 and 2014 were derived from the NCDB. Patients were categorized into two groups: “upfront resection” versus “biopsy followed by resection”. Primary outcome was OS. Post-operative outcomes including 30-day readmission/mortality, 90-day mortality, and prolonged length of inpatient hospital stay (LOS) were secondary endpoints. Kaplan-Meier methods and accelerated failure time (AFT) models with gamma distribution were applied for survival analysis. Multivariable binary logistic regression models were performed to compare differences in the post-operative outcomes between these groups. RESULTS Patients undergoing “upfront resection” experienced superior survival compared to those undergoing “biopsy followed by resection” (median OS: 12.4 versus 11.1 months, log-rank test: P=0.001). In multivariable AFT models, significant survival benefits were observed among patients undergoing “upfront resection” (time ratio [TR]: 0.83, 95% CI: 0.75–0.93, P=0.001). Patients undergoing upfront GTR had the longest survival compared to upfront STR, GTR following STR, or GTR and STR following an initial biopsy (14.4 vs. 10.3, 13.5, 13.3, and 9.1, months), respectively (TR: 1.00 [Ref.], 0.75, 0.82, 0.88, and 0.67). Recent years of diagnosis, higher income and treatment at academic facilities were significantly associated with the likelihood of undergoing upfront resection after adjusting the covariates. Multivariable logistic regression revealed that 30-day mortality and 90-day mortality were decreased by 73% and 44% for patients undergoing “upfront resection” over “biopsy followed by resection”, respectively (both p &lt; 0.001). CONCLUSIONS Pre-operative biopsies for surgically accessible tumors with characteristic imaging features of Glioblastoma lead to worse survival despite subsequent resection compared to patients undergoing upfront resection.

scholarly journals The impact of lockdown during SARS-CoV-2 outbreak on behavioral and psychological symptoms of dementia

2021 ◽  
Vol 42 (3) ◽  
pp. 825-833
Author(s):  
Arianna Manini ◽  
Michela Brambilla ◽  
Laura Maggiore ◽  
Simone Pomati ◽  
Leonardo Pantoni
Keyword(s):  
Logistic Regression ◽  
Psychological Symptoms ◽  
Neuropsychiatric Symptoms ◽  
Community Dwelling ◽  
Caregiver Distress ◽  
Neuropsychiatric Inventory ◽  
Logistic Regression Models ◽  
The Impact ◽  
Behavioral And Psychological Symptoms

Abstract Background During Covid-19 pandemic, the Italian government adopted restrictive limitations and declared a national lockdown on March 9, which lasted until May 4 and produced dramatic consequences on people’s lives. The aim of our study was to assess the impact of prolonged lockdown on behavioral and psychological symptoms of dementia (BPSD). Methods Between April 30 and June 8, 2020, we interviewed with a telephone-based questionnaire the caregivers of the community-dwelling patients with dementia who had their follow-up visit scheduled from March 9 to May 15 and canceled due to lockdown. Among the information collected, patients’ BPSDs were assessed by the Neuropsychiatric Inventory (NPI). Non-parametric tests to compare differences between NPI scores over time and logistic regression models to explore the impact of different factors on BPSD worsening were performed. Results A total of 109 visits were canceled and 94/109 caregivers completed the interview. Apathy, irritability, agitation and aggression, and depression were the most common neuropsychiatric symptoms experienced by patients both at baseline and during Covid-19 pandemic. Changes in total NPI and caregiver distress scores between baseline and during lockdown, although statistically significant, were overall modest. The logistic regression model failed to determine predictors of BPSD worsening during lockdown. Conclusion This is one of the first studies to investigate the presence of BPSD during SARS-CoV-2 outbreak and related nationwide lockdown, showing only slight, likely not clinically relevant, differences in BPSD burden, concerning mostly agitation and aggression, anxiety, apathy and indifference, and irritability.

scholarly journals High association of COVID-19 severity with poor gut health score in Lebanese patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258913
Author(s):  
Imad Al Kassaa ◽  
Sarah El Omari ◽  
Nada Abbas ◽  
Nicolas Papon ◽  
Djamel Drider ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Equal Proportion ◽  
Gut Health ◽  
Kendall’S Tau ◽  
High Association ◽  
Kendall's Tau ◽  
Health Score ◽  
Logistic Regression Models ◽  
The Impact

Background Coronavirus disease 2019 (COVID-19) has affected millions of lives globally. However, the disease has presented more extreme challenges for developing countries that are experiencing economic crises. Studies on COVID-19 symptoms and gut health are scarce and have not fully analyzed possible associations between gut health and disease pathophysiology. Therefore, this study aimed to demonstrate a potential association between gut health and COVID-19 severity in the Lebanese community, which has been experiencing a severe economic crisis. Methods This cross-sectional study investigated SARS-CoV-2 PCR-positive Lebanese patients. Participants were interviewed and gut health, COVID-19 symptoms, and different metrics were analyzed using simple and multiple logistic regression models. Results Analysis of the data showed that 25% of participants were asymptomatic, while an equal proportion experienced severe symptoms, including dyspnea (22.7%), oxygen need (7.5%), and hospitalization (3.1%). The mean age of the participants was 38.3 ±0.8 years, and the majority were males (63.9%), married (68.2%), and currently employed (66.7%). A negative correlation was found between gut health score and COVID-19 symptoms (Kendall’s tau-b = -0.153, P = 0.004); indicating that low gut health was associated with more severe COVID-19 cases. Additionally, participants who reported unhealthy food intake were more likely to experience severe symptoms (Kendall’s tau-b = 0.118, P = 0.049). When all items were taken into consideration, multiple ordinal logistic regression models showed a significant association between COVID-19 symptoms and each of the following variables: working status, flu-like illness episodes, and gut health score. COVID-19 severe symptoms were more common among patients having poor gut health scores (OR:1.31, 95%CI:1.07–1.61; P = 0.008), experiencing more than one episode of flu-like illness per year (OR:2.85, 95%CI:1.58–5.15; P = 0.001), and owning a job (OR:2.00, 95%CI:1.1–3.65; P = 0.023). Conclusions To our knowledge, this is the first study that showed the impact of gut health and exposure to respiratory viruses on COVID-19 severity in Lebanon. These findings can facilitate combating the pandemic in Lebanon.

Abstract P122: The Impact of Center Certification Status on Acute Stroke Care Within a Multi-Hospital System in Western United States

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Radoslav I Raychev ◽  
CrystalAnn Moreno ◽  
Leslie Corless ◽  
Jason W Tarpley ◽  
John F Zurasky ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Clinical Outcome ◽  
Regression Models ◽  
Process Of Care ◽  
Chi Square ◽  
Hospital System ◽  
Logistic Regression Models ◽  
Stroke Center ◽  
The Impact ◽  
Iv Tpa

Introduction: We aimed to investigate the impact of certification status on process of care metrics and clinical outcome in a large multi-center hospital system. Methods: We analyzed data obtained from the Providence Stroke Registry between January 2016 and December 2019. Key process of care metrics and clinical outcome were compared among patients with a discharge diagnosis of stroke and stratified based on site certification: comprehensive stroke center (CSC), thrombectomy-capable stroke center (TSC), primary stroke center (PSC) and no certification (NC). Donner’s adjusted chi-square tests were used to compare proportions for each metric grouped by certification. Generalized linear mixed effects logistic regression models were used to adjust for mode of patient arrival, age, sex, admit NIHSS, and medical history. Results: Data included 45,278 patients. Results from the analyses are summarized in the table. Donner’s adjusted chi-square analyses showed significant differences for metrics across certification groups. Results from the logistic regression models indicated significant differences in IV TPA and EVT treatment, as well as IV TPA treatment times across certification groups. There were no significant differences between TSC and CSC. Conclusions: Patients presenting with acute ischemic stroke at NC and PSC were significantly less likely to receive IV TPA or EVT with significantly less efficient IV tPA treatment times as compared to CSC. However, CSC and TSC sites performed similarly.

scholarly journals Endometrial thickness as a biomarker for ongoing pregnancy in IUI for unexplained subfertility: a secondary analysis

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
N A Danhof ◽  
R van Eekelen ◽  
S Repping ◽  
B W J Mol ◽  
F van der Veen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Pregnancy Rate ◽  
Ovarian Stimulation ◽  
Conflicts Of Interest ◽  
Endometrial Thickness ◽  
Secondary Analysis ◽  
Ongoing Pregnancy ◽  
Ongoing Pregnancy Rate ◽  
Cycle Number ◽  
The Impact

Abstract STUDY QUESTION What is, in couples with unexplained subfertility undergoing IUI, the impact of gonadotrophins compared to clomiphene citrate (CC) on endometrial thickness (EMT) in relation to ongoing pregnancy? SUMMARY ANSWER In women with unexplained subfertility undergoing IUI with ovarian stimulation, gonadotrophins lead to a thicker endometrium compared to CC, but this does not affect ongoing pregnancy rates. WHAT IS KNOWN ALREADY A systematic review and meta-analysis among couples with unexplained subfertility undergoing IUI with ovarian stimulation showed that women who conceived had, on average, a thicker endometrium than women who did not conceive, but this evidence is not robust due to a high level of heterogeneity. There was insufficient data to draw any conclusions on EMT and the effect on pregnancy outcomes. STUDY DESIGN, SIZE, DURATION We performed a secondary analysis of a multicentre randomized controlled superiority trial in couples with unexplained subfertility undergoing IUI with adherence to strict cancellation criteria. In total, 738 couples recruited between July 2013 and March 2016 were allocated to ovarian stimulation with gonadotrophins (n = 369) or with CC (n = 369) for a maximum of four IUI cycles. According to local protocol, recombinant FSH, urinary FSH or hMG was used. Natural conceptions and cancelled cycles were removed from this secondary analysis, as they do not provide any information on pregnancy in relation to stimulation after IUI. Ongoing pregnancy was defined as a positive heartbeat at or beyond 12 weeks of gestation. PARTICIPANTS/MATERIALS, SETTING, METHODS We first determined the difference in EMT between women randomized to gonadotrophins (75 IU) and CC (100 mg) over all cycles using a linear mixed model. We then investigated the association between EMT and ongoing pregnancy after IUI using a logistic regression model, adjusted for the allocated drug, number of dominant follicles, female age, BMI, duration of subfertility, primary or secondary subfertility, referral status, smoking status, cycle number and total motile sperm count. To conclude, we investigated the association between EMT and ongoing pregnancy by logistic regression separately in women allocated to gonadotrophins and in women allocated to CC. MAIN RESULTS AND THE ROLE OF CHANCE A total of 666 couples underwent 1968 IUI cycles. Of these, 330 couples were allocated to gonadotrophins, of which 85 conceived leading to ongoing pregnancy (rate per cycle 8.9%) and 336 couples were allocated to CC, of which 71 conceived leading to ongoing pregnancy (rate per cycle 7.0%) (relative risk (RR) 1.22, 95% CI 0.92 to 1.61). The mean EMT was 8.9 mm (SD 2.1) in women treated with gonadotrophins and 7.5 mm (SD 2.1) in women treated with CC (adjusted mean difference 1.4 mm; 95% CI: 1.1–1.7). The overall mean EMT was 8.4 mm (SD 2.2) in women that conceived leading to ongoing pregnancy and 8.2 mm (SD 2.2) in women that did not conceive (adjusted odds ratio (OR): 1.03 per 1 mm increase, 95% CI 0.95–1.12). There was no association between EMT and ongoing pregnancy in women treated with gonadotrophins or CC (OR: 1.01 per 1 mm increase, 95% CI 0.90–1.13, and 1.10 per 1 mm increase, 95% CI 0.99–1.23, respectively). LIMITATIONS, REASON FOR CAUTION Since this is a secondary analysis, the data should be interpreted prudently as secondary analyses are prone to false-positive findings or could be underpowered to show associations that the study is not primarily set up for. WIDER IMPLICATIONS OF THE FINDINGS In women with unexplained subfertility and treated with IUI, gonadotrophins lead to a significantly thicker endometrium compared to CC, but there was no evidence of a consistent association between EMT in women treated with gonadotrophins or CC and the ongoing pregnancy rate. A relatively thin endometrium after CC is therefore not a valid reason to prefer gonadotrophins as the stimulation agent in IUI for unexplained subfertility. STUDY FUNDING/COMPETING INTEREST(S) The initial trial was funded by the Netherlands Organization for Health Research and Development (ZonMw) (Health Care Efficiency Research; project number: 80-83600-98-10 192). The EudraCT number for this trial was 2013-001034-18. Prof. Dr B.W.J.M. is supported by a NHMRC Practitioner Fellowship (GNT1082548). B.W.M. reports consultancy for Merck, ObsEva and Guerbet. The other authors declare no conflicts of interest. TRIAL REGISTRATION NUMBER NTR 4057

P4459The influence of the polymorphism BUD13-ZNF259 rs964184 on coronary disease according to age

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Pereira ◽  
M Mendonca ◽  
J A Sousa ◽  
F Mendonca ◽  
M Neto ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Tyrosine Kinase ◽  
Coronary Disease ◽  
Age Groups ◽  
Significant Risk ◽  
Cellular Level ◽  
Dominant Model ◽  
Coronary Patients ◽  
The Impact ◽  
Cad Risk

Abstract A recent GWAS study found a significant association between the BUD13-ZNF259 rs964184 polymorphism, dyslipidemia and the onset of coronary disease (CAD). This variant encoding zinc finger protein (ZPR1) interacts with the receptor tyrosine kinase at cellular level, increasing oxidative stress, inflammatory response and atherogenesis. There are no studies of the effect of this variant on the Portuguese population. Objective Investigate the association of BUD13-ZNF259 rs964184 with dyslipidemia and its impact on CAD risk. Evaluate its impact in different age groups of our population. Methods A case-control study was performed with 3050 subjects (1619 coronary patients with 53.3±8 years; 78.9% male and 1431 controls with 52.8±8 years; 76.6% male) from the GENEMACOR study population. Traditional risk factors (smoking, dyslipidemia, diabetes, family history, hypertension, body mass index, alcohol consumption, physical inactivity) and others considered new, such as creatinine clearance, pulse wave velocity, homocysteine, fibrinogen, lipoprotein (a), APOB and PCR (hs) were investigated. BUD13-ZNF259 variant was genotyped and analyzed using the dominant model (CG + GG vs. CC). Bivariate and multivariate analyzes (logistic regression) were used to estimate the ORs and 95% CI, after adjusting for potential confounding factors, in 3 different age groups (<45; 45–55; >55). Results BUD13-ZNF259 polymorphism presented an independent and significant risk of CAD (OR=1.58; 95% CI: 1.07–2.32; p=0.019) only in the group of young coronary patients <45 years (n=482 patients), as well as dyslipidemia (OR=2.04; 95% CI: 1.26–3.31; p=0.003). After binary logistic regression entering with the interaction between dyslipidemia and the dominant model ZNF259 (CG + GG vs. CC), we verified an association with CAD risk (OR= 1.78; 95% CI: 1.08–2.95; p=0.025). Conclusion BUD13-ZNF259 rs964184 variant showed a significant risk for the onset of CAD in the young population (<45 years). The impact of the interaction of ZPR1 protein with tyrosine kinase (Syk) at the cellular level seems to be more relevant in young patients. This aspect may represent a possible prophylactic and therapeutic target, especially in coronary disease in young people.

scholarly journals The impact of demographic, clinical, genetic, and imaging variables on tau PET status

2020 ◽  
Author(s):  
Rik Ossenkoppele ◽  
◽  
Antoine Leuzy ◽  
Hanna Cho ◽  
Carole H. Sudre ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cortical Thickness ◽  
Regression Models ◽  
Neurodegenerative Disorder ◽  
Amyloid Β ◽  
Binary Logistic Regression ◽  
Clinical Genetic ◽  
Logistic Regression Models ◽  
Tau Pet ◽  
The Impact

Abstract Purpose A substantial proportion of amyloid-β (Aβ)+ patients with clinically diagnosed Alzheimer’s disease (AD) dementia and mild cognitive impairment (MCI) are tau PET–negative, while some clinically diagnosed non-AD neurodegenerative disorder (non-AD) patients or cognitively unimpaired (CU) subjects are tau PET–positive. We investigated which demographic, clinical, genetic, and imaging variables contributed to tau PET status. Methods We included 2338 participants (430 Aβ+ AD dementia, 381 Aβ+ MCI, 370 non-AD, and 1157 CU) who underwent [18F]flortaucipir (n = 1944) or [18F]RO948 (n = 719) PET. Tau PET positivity was determined in the entorhinal cortex, temporal meta-ROI, and Braak V-VI regions using previously established cutoffs. We performed bivariate binary logistic regression models with tau PET status (positive/negative) as dependent variable and age, sex, APOEε4, Aβ status (only in CU and non-AD analyses), MMSE, global white matter hyperintensities (WMH), and AD-signature cortical thickness as predictors. Additionally, we performed multivariable binary logistic regression models to account for all other predictors in the same model. Results Tau PET positivity in the temporal meta-ROI was 88.6% for AD dementia, 46.5% for MCI, 9.5% for non-AD, and 6.1% for CU. Among Aβ+ participants with AD dementia and MCI, lower age, MMSE score, and AD-signature cortical thickness showed the strongest associations with tau PET positivity. In non-AD and CU participants, presence of Aβ was the strongest predictor of a positive tau PET scan. Conclusion We identified several demographic, clinical, and neurobiological factors that are important to explain the variance in tau PET retention observed across the AD pathological continuum, non-AD neurodegenerative disorders, and cognitively unimpaired persons.

scholarly journals The impact of diabetes on multiple avoidable admissions: a cross-sectional study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Joana Seringa ◽  
Ana Patrícia Marques ◽  
Bruno Moita ◽  
Cátia Gaspar ◽  
João Filipe Raposo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Age Groups ◽  
Health Care Expenditures ◽  
Cross Sectional Study ◽  
Health Concern ◽  
Diabetes Diagnosis ◽  
Cross Sectional ◽  
Younger Adults ◽  
Logistic Regression Models ◽  
The Impact

Abstract Background Multiple admissions for ambulatory care sensitive conditions (ACSC) are responsible for an important proportion of health care expenditures. Diabetes is one of the conditions consensually classified as an ACSC being considered a major public health concern. The aim of this study was to analyse the impact of diabetes on the occurrence of multiple admissions for ACSC. Methods We analysed inpatient data of all public Portuguese NHS hospitals from 2013 to 2015 on multiple admissions for ACSC among adults aged 18 or older. Multiple ACSC users were identified if they had two or more admissions for any ACSC during the period of analysis. Two logistic regression models were computed. A baseline model where a logistic regression was performed to assess the association between multiple admissions and the presence of diabetes, adjusting for age and sex. A full model to test if diabetes had no constant association with multiple admissions by any ACSC across age groups. Results Among 301,334 ACSC admissions, 144,209 (47.9%) were classified as multiple admissions and from those, 59,436 had diabetes diagnosis, which corresponded to 23,692 patients. Patients with diabetes were 1.49 times (p < 0,001) more likely to be admitted multiple times for any ACSC than patients without diabetes. Younger adults with diabetes (18–39 years old) were more likely to become multiple users. Conclusion Diabetes increases the risk of multiple admissions for ACSC, especially in younger adults. Diabetes presence is associated with a higher resource utilization, which highlights the need for the implementation of adequate management of chronic diseases policies.

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