scholarly journals Hypertension control and risk of colonic diverticulosis

2019 ◽  
Vol 12 ◽  
pp. 175628481985573
Author(s):  
Li-Xian Yeo ◽  
Tzu-Hsiang Tseng ◽  
Wei-Liang Chen ◽  
Tung-Wei Kao ◽  
Li-Wei Wu ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Regression Models ◽  
Antihypertensive Medication ◽  
Positive Association ◽  
Antihypertensive Drug Therapy ◽  
Logistic Regression Models ◽  
Epidemiologic Evidence ◽  
Asymptomatic Patients

Background: The prevalence of diverticulosis has increased in our aging population, but the risk factors for diverticulosis are not fully understood. The role of hypertension in the risk of diverticulosis remains uncertain. This study investigated whether hypertension is associated with asymptomatic colorectal diverticulosis. Methods: This study enrolled asymptomatic patients who received a colonoscopy as part of a health check. Hypertension was defined by actual measured blood pressure. Logistic regression models were used to examine the relationship between hypertension and diverticulosis. In addition, we established three logistic regression models for covariate adjustment, and further stratified patients with hypertension into three subgroups based on their type of hypertension. Results: The study group consisted of 2748 participants, including 141 participants with diverticulosis and 2607 participants without diverticulosis. After adjustments for potential covariates, the odds ratio (OR) for having diverticulosis was 1.83 (95% confidence interval, 1.21–2.75, p = 0.004) in the hypertension group compared with the group without hypertension. In subgroup analyses, hypertension without antihypertensive medication use, and hypertension despite the use of antihypertensive medication were also significantly associated with the occurrence of asymptomatic diverticulosis (OR = 1.73, p = 0.028; OR = 2.07, p = 0.013, respectively). Current normal blood pressure under antihypertensive drug therapy was not associated with diverticulosis (OR = 1.74, p = 0.092). Conclusions: Our findings suggest a positive association between hypertension and diverticulosis. Participants with poorly controlled blood pressure were found to have a higher risk of asymptomatic diverticulosis. Our study presents epidemiologic evidence for future prevention strategies against diverticulosis.

scholarly journals Cardiac Surgical Outcome Prediction by Blood Pressure Variability Indices Poincaré plot and Coefficient of Variation: an Observational Study

2019 ◽  
Author(s):  
Senthil Packiasabapathy K ◽  
Varesh Prasad ◽  
Valluvan Rangasamy ◽  
David Popok ◽  
Xinling Xu ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Renal Failure ◽  
Logistic Regression ◽  
Cardiac Surgery ◽  
Coefficient Of Variation ◽  
Blood Pressure Variability ◽  
Regression Models ◽  
Outcome Prediction ◽  
Prediction Ability ◽  
Logistic Regression Models

Abstract Background Recent literature suggests a significant association between blood pressure variability (BPV) and postoperative outcomes after cardiac surgery. However, its outcome prediction ability remains unclear. Current prediction models use static preoperative patient factors. We aimed to test the performance of Poincaré plots and coefficient of variation (CV) independently by measuring intraoperative BP variability.Methods In this retrospective, observational, cohort study, 3687 adult patients undergoing cardiac surgery from 2008 to 2013 were included. Poincaré plots from BP data and descriptors SD1, SD2 by ellipse fitting technique were computed. The outcomes analyzed were the 30-day mortality and postoperative renal failure. Logistic regression models adjusted for preoperative and surgical factors were constructed to evaluate the association between BPV parameters and outcomes. C-statistics were used to analyse the predictive ability.Results Analysis found that, 99 (2.7%) patients died within 30 days and 105 (2.8%) patients suffered from in-hospital renal failure. Logistic regression models including BPV parameters (SD1, SD2 and CV) performed poorly in predicting postoperative 30-day mortality and renal failure. They did not add any significant value to the conventional prediction model.Conclusions We demonstrate the feasibility of applying Poincaré plots for BP variability analysis. Patient comorbid conditions and other preoperative factors are still the gold standard for outcome prediction. Future directions include analysis of dynamic parameters such as complexity of physiological signals in identifying high risk patients and tailoring management accordingly.

scholarly journals Cardiac Surgical Outcome Prediction by Blood Pressure Variability Indices Poincaré plot and Coefficient of Variation: an Observational Study

2020 ◽  
Author(s):  
Senthil Packiasabapathy K ◽  
Varesh Prasad ◽  
Valluvan Rangasamy ◽  
David Popok ◽  
Xinling Xu ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Renal Failure ◽  
Logistic Regression ◽  
Cardiac Surgery ◽  
Coefficient Of Variation ◽  
Blood Pressure Variability ◽  
Regression Models ◽  
Outcome Prediction ◽  
Logistic Regression Models ◽  
C Statistic

Abstract Background Recent literature suggests a significant association between blood pressure variability (BPV) and postoperative outcomes after cardiac surgery. However, its outcome prediction ability remains unclear. Current prediction models use static preoperative patient factors. We explored the ability of Poincaré plots and coefficient of variation (CV) by measuring intraoperative BPV in predicting adverse outcomes. Methods In this retrospective, observational, cohort study, 3687 adult patients (> 18 years) undergoing cardiac surgery requiring cardio-pulmonary bypass from 2008 to 2014 were included. Blood pressure variability was computed by Poincare plots and CV. Standard descriptors (SD) SD1, SD2 were measured with Poincare plots by ellipse fitting technique. The outcomes analyzed were the 30-day mortality and postoperative renal failure. Logistic regression models adjusted for preoperative and surgical factors were constructed to evaluate the association between BPV parameters and outcomes. C-statistics were used to analyse the predictive ability. Results Analysis found that, 99 (2.7%) patients died within 30 days and 105 (2.8%) patients suffered from in-hospital renal failure. Logistic regression models including BPV parameters (standard descriptors from Poincare plots and CV) performed poorly in predicting postoperative 30-day mortality and renal failure [Concordance(C)-Statistic around 0.5]. They did not add any significant value to the standard STS risk score [C-statistic: STS alone 0.7, STS + BPV parmeters 0.7]. Conclusions In conclusion, BP variability computed from Poincare plots and CV were not predictive of mortality and renal failure in cardiac surgical patients. Patient comorbid conditions and other preoperative factors are still the gold standard for outcome prediction. Future directions include analysis of dynamic parameters such as complexity of physiological signals in identifying high risk patients and tailoring management accordingly.

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.

Increased blood pressure variability after endovascular thrombectomy for acute stroke is associated with worse clinical outcome

2018 ◽  
Vol 10 (9) ◽  
pp. 823-827 ◽  
Author(s):  
Alicia E Bennett ◽  
Michael J Wilder ◽  
J Scott McNally ◽  
Jana J Wold ◽  
Gregory J Stoddard ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Blood Pressure Variability ◽  
Regression Models ◽  
Ordinal Logistic Regression ◽  
Logistic Regression Models ◽  
Intravenous Tissue Plasminogen Activator ◽  
Point Increase ◽  
Tissue Plasminogen

Background and purposeBlood pressure variability has been found to contribute to worse outcomes after intravenous tissue plasminogen activator, but the association has not been established after intra-arterial therapies.MethodsWe retrospectively reviewed patients with an ischemic stroke treated with intra-arterial therapies from 2005 to 2015. Blood pressure variability was measured as standard deviation (SD), coefficient of variation (CV), and successive variation (SV). Ordinal logistic regression models were fitted to the outcome of the modified Rankin Scale (mRS) with univariable predictors of systolic blood pressure variability. Multivariable ordinal logistic regression models were fitted to the outcome of mRS with covariates that showed independent predictive ability (P<0.1).ResultsThere were 182 patients of mean age 63.2 years and 51.7% were female. The median admission National Institutes of Health Stroke Scalescore was 16 and 47.3% were treated with intravenous tissue plasminogen activator. In a univariable ordinal logistic regression analysis, systolic SD, CV, and SV were all significantly associated with a 1-point increase in the follow-up mRS (OR 2.30–4.38, all P<0.002). After adjusting for potential confounders, systolic SV was the best predictor of a 1-point increase in mRS at follow-up (OR 2.63–3.23, all P<0.007).ConclusionsIncreased blood pressure variability as measured by the SD, CV, and SV consistently predict worse neurologic outcomes as measured by follow-up mRS in patients with ischemic stroke treated with intra-arterial therapies. The SV is the strongest and most consistent predictor of worse outcomes at all time intervals.

scholarly journals Plasmatic Extracellular Vesicles in Acute Graft-Versus-Host Disease after Haplo-Identical Allografting with Post-Transplant Cyclophosphamide

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 598-598
Author(s):  
Giuseppe Lia ◽  
Clara Di Vito ◽  
Marta Tapparo ◽  
Stefania Bruno ◽  
Elisa Zaghi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Extracellular Vesicles ◽  
Graft Versus Host Disease ◽  
Research Funding ◽  
Regression Models ◽  
Logistic Regression Models ◽  
Graft Versus Host ◽  
Increased Risk ◽  
Acute Graft

INTRODUCTION: Acute Graft-versus-Host-Disease (aGVHD) is a frequent complication where the endothelium may play a pivotal role. We recently investigated the potential role of extracellular vesicles (EVs) as novel biomarkers of aGVHD (Lia G. et al. Leukemia 2018). In this study we further investigated the correlation of plasma EVs and their content in miRNAs with the risk of developing aGVHD in the setting of post-transplant cyclophosphamide (PTCY) haploidentical-stem cell transplantation (Haplo-SCT). METHODS: Thirty-two patients who underwent a Haplo-SCT were included. Plasma samples were collected from peripheral blood at given time-points (pre-transplant, on day 0, 3, 7, 14, 21, 28, 35, 45, 60, 75 and 90 after transplant). EVs were extracted by a protamine-based precipitation method and were characterized by Nano-tracking Particle Analysis (Nanosight). EVs were then analyzed by flow-cytometry (Guava EasyCyte Flow Cytometer) with a panel of 14 antibodies (CD44, CD138, CD146, KRT18, CD120a, CD8, CD30, CD106, CD25, CD26, CD31, CD144, CD86, and CD140a). MiRNAs were extracted from EVs by miRNeasy Mini Kit (Qiagen) and retrotranscribed by miScript II RT Kit (Qiagen). Three miRNAs (miR100, miR194, miR155) were studied and quantified by qRT-PCR using the miScript SYBR Green PCR Kit (Qiagen). Concomitant plasma concentrations of human Tumor Necrosis Factor Receptor I (TNFR1) and human ST2 were also evaluated using a commercially available sandwich enzyme-linked immunosorbent assay (DualSET® ELISA R&D Systems). The risk of aGVHD was evaluated by logistic regression models and Odds Ratios (ORs) were estimated as absolute levels and as proportional changes compared with pre-transplant baseline levels of each marker. Moreover, among biomarkers significantly associated with a higher risk of aGVHD, a multivariable logistic regression model using Akaike's information criteria (AIC) was estimated to define a biomarker combination. Ors were reported for 1-unit increase of standardized variables. RESULTS: AGVHD (grade II-IV) was observed in 7/32 patients (22%) at a median of 41 (range 33-90) days after transplant. Logistic regression models showed that CD146 fluorescence was associated with a significantly increased risk of acute GVHD (OR 2.93 p&lt;0.001) as well as expression changes in miR100, miR155 and miR194 (OR 3.90 p&lt;0.001; OR 1.84 p=0.008; OR 2.68 p&lt;0.001, respectively). Concentrations of plasmatic hTNFR1 and ST2 were also confirmed to be associated with increased risk of aGVHD (OR 1.47 p=0.04; OR 1.55 p=0.05, respectively) as previously described. Of note, all biomarkers associated with risk of aGVHD showed a consensual change in signal levels before the onset of aGVHD (Figure 1). By applying a backward selection on a multivariable logistic model using the AICapproach, we found that the combination of CD146-miR100-TNFR1 with an individual AUROC of 0.858, 0.923, and 0.794, respectively, increased their discrimination ability to predict aGVHD (multivariable AUROC = 0.987). CONCLUSIONS: This study, in the setting of haplo-transplant, confirms the association of CD146, a cell adhesion molecule, and the risk of aGVHD suggesting an important role of endothelium damage in the pathogenesis of aGVHD. The association of miRNA100, miRNA155 and miRNA194, carried by EVs, and aGVHD was also significant. Interestingly, MiRNA100 was reported to regulate inflammatory neovascularization during GvHD while miR-155 plays a role in donor T cell expansion. We have also found that using three markers in combination (CD146-miR100-TNFR1) could greatly improve aGVHD predictivity. To translate our results into an in vivo model, we have recently designed preclinical mouse models to evaluate if a) antagomir (against miRNA100 and/or miRNA155) injections or b) pre-emptive treatments with endothelium protective agents such as defibrinotide or OMS721 (Anti-Masp2) may reduce the risk of aGVHD. Figure1 a) Signal variation from baseline level (preTx) of CD146 fluorescence, miR100 expression, and TNFR1 concentration before aGVHD onset. Disclosures Boccadoro: Sanofi: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; AbbVie: Honoraria; Mundipharma: Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding.

Abstract WP39: Intraprocedural Systolic Blood Pressure Mean and Variability During Endovascular Thrombectomy Not Associated With Neurologic Outcome

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Mohammad Anadani ◽  
Adam De Havenon ◽  
Linda M Baki ◽  
Alejandro M Spiotta
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Systolic Blood Pressure ◽  
Regression Models ◽  
Primary Outcome ◽  
Neurologic Outcome ◽  
Anterior Circulation ◽  
Endovascular Thrombectomy ◽  
Logistic Regression Models ◽  
Adjusted Logistic Regression

Background: Prior research has shown that increased systolic blood pressure variability (BPV) is associated with worse neurologic outcome after endovascular thrombectomy (EVT). Those studies have typically included BPV from 24-72 hours after stroke onset, but none have focused specifically on the BPV during EVT. Methods: We included acute ischemic stroke patients who underwent EVT for anterior circulation large vessel occlusion from 2 stroke centers. All patients had a minimum of 10 blood pressure readings during EVT. The primary outcome is mRS 0-2 (good outcome) and the secondary outcome is death, both as close to 90 days as possible. We fit adjusted logistic regression models to our outcomes with the predictors of intraprocedural systolic mean, standard (SD), and coefficient of variation (CV). Results: We included 303 patients with a mean (SD) age of 65.7 years and 53.5% were female. The primary outcome of mRS 0-2 was met by 39.9% and 27.4% died. Systolic mean, SD, and CV did not differ in patients with mRS 0-2 versus 3-6 (Table 1) nor for patients who died versus were alive (all p>0.5). In the adjusted logistic regression models, systolic mean, SD, and CV were not associated with either mRS 0-2 or death at follow-up (Tables 2 & 3). Conclusions: Blood pressure variation during endovascular thrombectomy was not associated with the functional outcome or death in patients with anterior circulation strokes.

scholarly journals Sexual satisfaction among italian university students

Genus ◽  
2020 ◽  
Vol 76 (1) ◽  
Author(s):  
Laura Terzera ◽  
Stefania Maria Lorenza Rimoldi ◽  
Elisa Barbiano di Belgiojoso
Keyword(s):  
Logistic Regression ◽  
University Students ◽  
Sexual Satisfaction ◽  
Regression Models ◽  
Essential Role ◽  
Young Men ◽  
Men And Women ◽  
Logistic Regression Models ◽  
Positive Effect

Abstract This paper examines the determinants of sexual satisfaction among Italian young men and women at the beginning of their adulthood, taking into account the different stages of sentimental and sexual transitions. We based the analyses on the data collected in 2017 by the SELFY Survey on a sample of 7842 university students in Italy. Results of the logistic regression models highlight that, above all, sexual satisfaction is positively associated with the frequency of intercourse within a stable and exclusive relationship. Furthermore, results highlight the essential role of all transitions, sexual and sentimental, in enhancing sexual satisfaction, both in a positive and negative direction. Religion has a positive effect too, but only among students who have not yet had intercourse, expressing a protective effect of the adherence to beliefs. Significant differences between young men and women emerged mainly concerning performance, other conditions being equal.

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