Association of hemoglobin and spontaneous closure of the ductus arteriosus during the transitional period in very low birth weight infants

2021 ◽  
pp. 1-10
Author(s):  
S. Joye ◽  
P.J. McNamara ◽  
R.E. Giesinger ◽  
J-F. Tolsa ◽  
N. Sekarski
Keyword(s):  
Logistic Regression ◽  
Very Low Birth Weight ◽  
Demographic Data ◽  
Risk Index ◽  
Ductus Arteriosus ◽  
Multiple Logistic Regression Analysis ◽  
Spontaneous Closure ◽  
Transitional Period ◽  
Bivariate Analysis ◽  
Stepwise Logistic Regression

OBJECTIVES: To determine the association between plasma hemoglobin (HB) at three time-points (birth, postnatal days 0–3 and 0–10) and spontaneous closure of the ductus arteriosus (sDAC). STUDY DESIGN: A retrospective case-control study of preterm infants born (2013–2016) between 24 and 29 weeks of gestational age (GA) was conducted in a level three perinatal center in Switzerland. We collected hemoglobin at birth, between days 0–3 and 0–10 in two distinct groups: (i) patients treated for a PDA and (ii) patients with spontaneous closure of the ductus arteriosus (sDAC). Antenatal and postnatal demographic data and neonatal morbidity were collected. Bivariate analysis was performed and a stepwise logistic regression was done to investigate factors associated with sDAC. RESULTS: We reviewed the medical chart of 184 premature infants of whom 146 (79.3%) satisfied eligibility criteria. Of these, 74 (51%) were classified as sDAC. Patients with sDAC were older (GA: 28 vs 27, p <  0.001), more stable (clinical risk index for babies score (CRIB score): 2 vs 5, p <  0.001) and had better clinical outcomes than patients who received treatment for a PDA. Infants in the sDAC group had a higher level of hemoglobin during the first ten postnatal days. Multiple logistic regression analysis revealed that lower HB level (day 0–10) were associated with failure of sDAC (p <  0.05). CONCLUSIONS: This is one of the first studies to highlight a potential association between hemoglobin during the transitional period and sDAC. The biological nature of this observation requires prospective clarification.

A Statistical Study on the Prevalence of Physical inactivity among Cardiovascular Diseases patients: The Predictive role of Demographic and Socioeconomic Factors

2021 ◽  
pp. 3679-3684
Author(s):  
Mirza Rizwan Sajid ◽  
Noryanti Muhammad ◽  
Ahmad Shahbaz ◽  
Roslinazairimah Zakaria
Keyword(s):  
Logistic Regression ◽  
Cardiovascular Diseases ◽  
Physical Inactivity ◽  
Multiple Logistic Regression Analysis ◽  
Well Being ◽  
Bivariate Analysis ◽  
Stepwise Logistic Regression ◽  
World Population ◽  
Background Factors ◽  
Physically Inactive

Physical inactivity (PI) is an established modifiable risk factor of cardiovascular diseases (CVDs) which is the leading cause of global mortality. Researchers and practitioners have been trying to reduce the surge of PI in the population but still, a substantial chunk of the world population is struggling with the issues of PI. This study is aimed at determining the prevalence and associated background factors of PI among CVDs patients. Further, profiles of potentially physically inactive people will also be identified for the future. A cross-sectional study was conducted at Punjab Institute of Cardiology (PIC) Lahore, Pakistan spanning the duration of September 2018 to February 2019. A sample of 230 CVDs patients, using 95% confidence interval (CI), 80% power of test and 5% margin of error was selected in the study. The data on PI was collected using standardized international physical activity questionnaire. In addition to descriptive statistics, bivariate analysis, multiple logistic regression analysis and odds ratios (OR) were also used. The study included 230 participants, in which 156 (68%) were males. The average age of the CVDs patients was 50.11±11.15 years. One hundred thirteen (49%) of the patients were physically inactive. Forward stepwise logistic regression estimated that good subjective financial well-being (OR= 0.560; 95% CI: 0.439-0.714), high years of schooling (OR = 0.932; 95% CI: 0.871-0.998), male gender (OR = 0.336, 95% CI: 0.162-0.698) and advanced ages (OR = 1.041, 95% CI: 1.011-1.072) were the strong factors in determining the likelihood of PI. This study concludes that the prevalence of PI in CVDs patients is alarming and background factors are the strong predictors of PI. These factors can be used to design customized strategies for the reduction of PI which would ultimately help in reducing the incidence of CVDs in the population.

Susceptibility Factors for Early Reamputation in Diabetic Great Toe Gangrene

2020 ◽  
Vol 17 (1) ◽  
pp. 55-62
Author(s):  
Raden A. Primadhi
Keyword(s):  
Logistic Regression ◽  
Demographic Data ◽  
Multiple Logistic Regression Analysis ◽  
Metatarsophalangeal Joint ◽  
Point Of View ◽  
Multiple Logistic Regression ◽  
Great Toe ◽  
Regression Methods ◽  
Susceptibility Factors ◽  
Repeated Surgery

Introduction: The effectiveness of the treatment has long been significant in diabetes and its complications, especially in developing countries. Prolonged hospitalization and repeated surgery should be avoided due to clinical and economic reasons. Wound breakdowns or necrosis can occur after amputation procedures, and subsequently will require reamputation. This study analyzed susceptibility factors in diabetic foot patients undergoing prior high toe amputation that are thought to be related to early reamputation. Methods: We performed a retrospective analysis in 107 patients that have undergone amputation for great toe gangrene, during May 2014-April 2019. Demographic data, clinical features, laboratory results and treatment modality, were documented and statistically analyzed by simple and multiple logistic regression methods. Results: Of all 107 patients, 17 patients had to undergo early reamputation. Limited dorsiflexion, level of amputation, and sepsis condition is shown to be significantly associated with first amputation. Multiple logistic regression analysis confirmed a significant association of early reamputation with amputation or disarticulation at the level of the metatarsophalangeal joint. Conclusion: While limited ankle dorsiflexion and sepsis conditions need to be addressed comprehensively, from the surgical options point of view, we suggest ray amputation to be preferred over metatarsophalangeal joint disarticulation to prevent early reamputation.

scholarly journals Facility level factors that determine consistent delivery of essential newborn care at health centers in Ethiopia

2020 ◽  
Author(s):  
Binyam Fekadu Desta ◽  
Ismael Ali Beshir ◽  
Zergu Tafesse ◽  
Hailemariam Segni
Keyword(s):  
Logistic Regression ◽  
Health Facility ◽  
Health Workers ◽  
Multiple Logistic Regression Analysis ◽  
Newborn Care ◽  
Outcome Variable ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
Essential Newborn Care ◽  
Delivery Rooms

Abstract Background: Essential newborn care (ENC) is a package of interventions which should be provided for every newborn baby regardless of body size or place of delivery immediately after birth and should be continued for at least the seven days that follows. Although a minimum package of proven interventions to reduce newborn mortality have been adopted, countries are still challenged by multiple system related problems. Methods: This study employed a retrospective cross-sectional study design and used program monitoring data collected from 425 facilities between October and December 2019. Descriptive statistics were formulated and presented in tables. Binary logistic regression was employed to assess the statistical association between the outcome variable and the independent variables. All variables with p<0.2 in the bivariate analysis were identified as candidate variables. Then, multiple logistic regression analysis was performed using candidate variables to determine statistically significant predictors of the consistent delivery of ENC by adjusting for possible confounders. Results: A total of 273, (64.2%), of facilities demonstrated consistent delivery of ENC. Five factors - availability of essential obstetrics drugs in delivery rooms, high CSC performances, availability of maternity waiting homes, consistent partograph use, and availability of women-friendly delivery services were included in the model. The strongest predictor of CD-ENC was consistent partograph use, recording an odds ratio of 2.66. Similarly, providing women-friendly services was strongly associated with increased likelihood of exhibiting CD-ENC. Furthermore, facilities with essential obstetric drugs had 1.88 times higher odds of exhibiting consistent delivery of ENC. Conclusion: Health worker commitment to provide ENC is linked to the practices and platforms created by health facility management. Health facility managers should establish a platform or mechanism to enhance providers relationship with their clients as well as comprehensive tools to remind health workers’ responsibilities with regards to ENC. In addition, the health service managers should also consider availing the required supplies and drugs closer to the service delivery rooms and tables.

scholarly journals Prevalence of and factors associated with acute withdrawal symptoms after 24 weeks of eszopiclone treatment in patients with chronic insomnia: a prospective, interventional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yuichi Inoue ◽  
Yoshikazu Takaesu ◽  
Michinori Koebis
Keyword(s):  
Logistic Regression ◽  
Multiple Logistic Regression Analysis ◽  
Poor Compliance ◽  
Self Report ◽  
Withdrawal Symptoms ◽  
Stepwise Logistic Regression ◽  
Increased Risk ◽  
Sum Scores ◽  
Insomnia Severity

Abstract Background Although long-term use of benzodiazepines and benzodiazepine receptor agonists (BZDs) has been associated with an increased risk of dependence, the incidence, details of clinical manifestations, and triggering factors of withdrawal symptoms associated with long-term BZD use at common clinical doses remain unclear. Methods In a multicenter, open-label study of 123 Japanese patients with insomnia, patients were given a common clinical dose of eszopiclone (2 mg) for 24 weeks, and then treatment was abruptly discontinued. Withdrawal symptoms were evaluated using the Benzodiazepine Hypnotics Withdrawal Symptom Scale (BHWSS). The Insomnia Severity Index (ISI) was used to rate insomnia severity during treatment and 2 weeks after discontinuation. Dependence and poor compliance during treatment without strict medication controls were evaluated with the Benzodiazepine Dependence Self Report Questionnaire short version (Bendep-SRQ SV) subscale sum scores for problematic use, preoccupation, and lack of compliance. Associations between the presence of clinically relevant withdrawal symptoms (BHWSS≥7) and demographic measures, ISI scores at Week 24, and Bendep-SRQ SV subscale sum scores were evaluated by multivariable stepwise logistic regression analyses. Results Seventy-six patients completed treatment and 2 weeks of withdrawal; eight (10.5%) had clinically relevant withdrawal symptoms. On multiple logistic regression analysis, Bendep-SRQ SV subscale sum scores were correlated with withdrawal symptoms (odds ratio, 1.650; 95% confidence interval, 1.105–2.464; p = 0.014). Exacerbation of post-discontinuation insomnia was not significantly different between patients who showed clinically relevant withdrawal symptoms and those who did not (p = 0.245). Conclusions Dependence and poor compliance may contribute to withdrawal symptoms with long-term BZD use. Providing guidance to ensure proper compliance is thought to be the best way to mitigate withdrawal symptoms. Trial registration UMIN000024462 (18/10/2016).

scholarly journals Exploration of prognostic factors for critical COVID-19 patients using a nomogram model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Juan Li ◽  
Lili Wang ◽  
Chun Liu ◽  
Zhengquan Wang ◽  
Yi Lin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Mortality Risk ◽  
Demographic Data ◽  
Multiple Logistic Regression Analysis ◽  
High Sensitivity ◽  
Advanced Age ◽  
Hs Crp

AbstractThe study aimed to explore the influencing factors on critical coronavirus disease 2019 (COVID-19) patients’ prognosis and to construct a nomogram model to predict the mortality risk. We retrospectively analyzed the demographic data and corresponding laboratory biomarkers of 102 critical COVID-19 patients with a residence time ≥ 24 h and divided patients into survival and death groups according to their prognosis. Multiple logistic regression analysis was performed to assess risk factors for critical COVID-19 patients and a nomogram was constructed based on the screened risk factors. Logistic regression analysis showed that advanced age, high peripheral white blood cell count (WBC), low lymphocyte count (L), low platelet count (PLT), and high-sensitivity C-reactive protein (hs-CRP) were associated with critical COVID-19 patients mortality risk (p < 0.05) and these were integrated into the nomogram model. Nomogram analysis showed that the total factor score ranged from 179 to 270 while the corresponding mortality risk ranged from 0.05 to 0.95. Findings from this study suggest advanced age, high WBC, high hs-CRP, low L, and low PLT are risk factors for death in critical COVID-19 patients. The Nomogram model is helpful for timely intervention to reduce mortality in critical COVID-19 patients.

scholarly journals Morphological and skill-related fitness components as potential predictors of injury in elite netball players: A cohort study

2021 ◽  
Vol 77 (1) ◽  
Author(s):  
Colleen J. Sinclair ◽  
Frederik F. Coetzee ◽  
Robert Schall
Keyword(s):  
Logistic Regression ◽  
Cohort Study ◽  
Injury Risk ◽  
Demographic Data ◽  
Multiple Logistic Regression Analysis ◽  
Fat Percentage ◽  
Related Factors ◽  
Significance Level ◽  
Movement Screening ◽  
Simple Logistic

Background: A limited number of studies on the epidemiology of injuries and fitness profiles of netball players in South Africa have been conducted, but no research on the potential morphological and skill-related fitness predictors of injuries could be located.Objectives: We investigated whether morphological or skill-related factors measured in the pre-season could predict injuries sustained in-season.Method: In our cohort study, 77 under-18 (U18), U19, U21 and senior elite netball players underwent pre-season testing including anthropometry, balance, flexibility, explosive power, upper and lower body strength, core strength, speed and agility testing. A questionnaire was used to collect demographic data, elite-level experience and injury history. Injuries in pre-season, training and matches were recorded during the subsequent 2017–2018 season using an injury profile sheet.Results: Amongst the 77 players who underwent pre-season fitness tests, 33 players (42.9%) had at least one injury. Regarding player morphology, a significant association of body mass and body fat percentage with injury risk was found in a simple logistic regression. In a multiple logistic regression analysis, only fat percentage (p = 0.0508) remained a significant predictor of injury at the 10% significance level, with higher fat percentage being associated with lower injury risk.Conclusion: Heavier players and players with a higher fat percentage had a decreased injury risk.Clinical implications: As a result of the apparent protective effect of heavier weight of players, referees should more strictly enforce the no-contact rule in netball. Further research on functional movement screening as a tool for potential prediction of injury in netball is recommended.

Identification of Risk Factors for Refractory Status Epilepticus

2019 ◽  
Vol 54 (1) ◽  
pp. 14-21
Author(s):  
Hayley A. Tatro ◽  
Leslie A. Hamilton ◽  
Cassey Peters ◽  
A. Shaun Rowe
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Status Epilepticus ◽  
Refractory Status Epilepticus ◽  
Bivariate Analysis ◽  
Stepwise Logistic Regression ◽  
Retrospective Case ◽  
Lower Odds ◽  
Refractory Status ◽  
Convulsive Seizures

Objective: The objective of this study is to identify risk factors for the development of refractory status epilepticus (RSE). Methods: This was an IRB-approved, retrospective case control study that included patients admitted with status epilepticus between August 1, 2014, and July 31, 2017. Cases were defined as those with RSE, and controls were those who did not develop RSE. A bivariate analysis was conducted comparing those with RSE and those without RSE. A stepwise logistic regression model was constructed predicting for progression to RSE. Risk factors for progression to RSE were extrapolated from this model. Results: A total of 184 patients met inclusion criteria for the study (99 controls and 49 cases). After adjusting for covariates in the logistic regression, patients with convulsive seizures had a lower odds of developing RSE (odds ratio [OR] = 0.375; 95% CI = 0.148 to 0.951; P = 0.0388). Treatment with benzodiazepines plus levetiracetam had a higher odds of developing RSE (OR = 3.804; 95% CI = 1.523 to 9.499; P = 0.0042). Conclusion and Relevance: This study found that patients with convulsive seizures had a lower odds of developing RSE. In addition, patients treated with benzodiazepines and levetiracetam had a higher odds of developing RSE. This information can be used to potentially identify patients at higher risk of developing RSE, so that treatment can be modified to reduce morbidity and mortality. These results may warrant further investigation into the effectiveness of levetiracetam as a first-line agent for the treatment of SE.

scholarly journals The relationship between home ownership and fall-related outcomes: The National Health and Aging Trends Study

2021 ◽  
Vol 1 (12) ◽  
pp. e0000019
Author(s):  
Ching-Yao Tsai ◽  
Tao-Hsin Tung ◽  
Yang-Tzu Li ◽  
Wei-Cheng Chen
Keyword(s):  
Logistic Regression ◽  
National Health ◽  
United States Of America ◽  
Fear Of Falling ◽  
Home Ownership ◽  
Multiple Logistic Regression Analysis ◽  
The United States ◽  
Bivariate Analysis ◽  
Multiple Logistic Regression ◽  
The Relationship

Although many studies have tried to explore the association between fall incidents and fear of falling (FOF)/worry about fall-limited activities and various risk factors, few studies have recognized the relationship between house ownership and fall-related outcomes. The aim of this study was to assess whether house ownership will affect an older adult’s experience of falling or lead to fear of falling. The National Health and Aging Trends Study (NHATS) collected data that would provide an understanding of basic trends in people aged 65 years and older living in the United States of America. This study conducted round one of the NHATS and did logistic regression to examine the relationship between house ownership and fall-related outcomes among 7,090 persons aged 65 or older. Twenty five percent of the sampled population who lacked house ownership. All fall-related outcomes (fall last month, fall last year, fear of falling, and worry about fall-limited activities) were statistically significant in the bivariate analysis. Multiple logistic regression analysis showed that house ownership (OR = 0.75, 95%CI: 0.65–0.86) was significantly associated with fear of falling after adjusting for other covariates. The findings underscore the association between the lack of house ownership and fall-related outcomes.

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