Specific Energy Prediction for Circular Diamond Saw in Cutting Different Types of Rocks Using Multivariable Linear Regression Analysis

Abstract Background Accreditation Council for Graduate Medical Education program requirements for internal medicine residency training include a longitudinal, continuity experience with a panel of patients. Objective To determine whether the number of resident clinics, the resident panel size, and the supervising attending physician affect patient continuity. To determine the number of clinics and the panel size necessary to maximize patient continuity. Design We used linear regression modeling to assess the effect of number of attended clinics, the panel size, and the attending physician on patient continuity. Participants Forty medicine residents in an academic medicine clinic. Measurements Percent patient continuity by the usual provider of care method. Results Unadjusted linear regression analysis showed that patient continuity increased 2.3% ± 0.7% for each additional clinic per 9 weeks or 0.4% ± 0.1% for each additional clinic per year (P = .003). Conversely, patient continuity decreased 0.7% ± 0.4% for every additional 10 patients in the panel (P = .04). When simultaneously controlling for number of clinics, panel size, and attending physician, multivariable linear regression analysis showed that patient continuity increased 3.3% ± 0.5% for each additional clinic per 9 weeks or 0.6% ± 0.1% for each additional clinic per year (P < .001). Conversely, patient continuity decreased 2.2% ± 0.4% for every additional 10 patients in the panel (P < .001). Thus, residents who actually attend at least 1 clinic per week with a panel size less than 106 patients can achieve 50% patient continuity. Interestingly, the attending physician accounted for most of the variability in patient continuity (51%). Conclusions Patient continuity for residents significantly increased with increasing numbers of clinics and decreasing panel size and was significantly influenced by the attending physician.

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Optimization of productivity of pullulan by means of multivariable linear regression analysis

Enzyme and Microbial Technology ◽

10.1016/s0141-0229(98)00117-3 ◽

1999 ◽

Vol 24 (5-6) ◽

pp. 276-282 ◽

Cited By ~ 12

Author(s):

Lucja Tarabasz-Szymanska ◽

Edward Galas ◽

Teresa Pankiewicz

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Linear Regression Analysis ◽

Multivariable Linear Regression Analysis

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Using the health belief model to analyse nurses’ perception towards their behaviours for keeping surgical instruments moist

10.21203/rs.3.rs-126358/v1 ◽

2020 ◽

Author(s):

Yanhua Chen ◽

Juan Hu ◽

Yan Huang ◽

Liangying Yi ◽

Ruixue Hu

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Health Belief Model ◽

Linear Regression Analysis ◽

Health Belief ◽

Surgical Instruments ◽

Length Of Service ◽

Multivariable Linear Regression Analysis ◽

Belief Model ◽

The Health Belief Model

Abstract Background Because of conflicts with work schedule of central sterile supply department (CSSD), surgical instruments might not be immediately cleaned or sterilized by CSSD staff members after use. If surgical instruments are not kept appropriately moist, tarnish or rusting may occur on the instruments, which will not only affect cleaning quality, but also shorten the normal service life of the instruments. Nurses’ perception towards their behaviours for keeping surgical instruments moist has been rarely studied. We aimed to use the health belief model to analyse nurses’ perception towards their behaviours for keeping surgical instruments moist. Methods The survey which utilised a questionnaire regarding respondent’s general information and a self-designed nurses’ perception-behaviour scale for keeping surgical instruments moist was conducted with 360 nurses from the West China Second University Hospital, Sichuan University. Data was gathered with cluster sampling, and analysed in SPSS20.0. T-test, variance analysis and multivariable linear regression analysis were performed. Results Total score of nurses’ perception-behaviour scale for keeping surgical instruments moist was 139.93 ± 15.145, among which mean score for perceived severity, perceived susceptibility, perceived benefits, perceived barriers, and self-efficacy was 4.49 ± 0.57, 4.62 ± 0.48, 4.57 ± 0.52, 3.47 ± 0.94 and 4.16 ± 0.66, respectively. Single factor analysis showed that score of nurses’ perception-behaviour scale for keeping surgical instruments moist varied with age, length of service, and job title, with a statistically significant difference (P < 0.05). Multivariable linear regression analysis showed that length of service was the main factor affecting nurses’ perception towards their behaviours for keeping surgical instruments moist. Conclusion Nurses should be offered intensive training on keeping surgical instruments moist due to their inadequate perception on it. However, an increase in knowledge does not necessarily bring behavior change. The nurses’ change in health beliefs and behaviours must be based upon developing the right attitude. As a result, they could realise the benefits of keeping surgical instruments moist, identify the barriers, and finally obtain the solutions.

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Influence of transfusions, hemodialysis and extracorporeal life support on hyperferritinemia in critically ill patients

PLoS ONE ◽

10.1371/journal.pone.0254345 ◽

2021 ◽

Vol 16 (7) ◽

pp. e0254345

Author(s):

Cornelia Knaak ◽

Friederike S. Schuster ◽

Peter Nyvlt ◽

Patrick Heeren ◽

Claudia Spies ◽

...

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Critically Ill ◽

Sofa Score ◽

Critically Ill Patients ◽

Life Support ◽

Extracorporeal Life Support ◽

Linear Regression Analysis ◽

Iron Storage ◽

Multivariable Linear Regression Analysis

Background Ferritin is the major iron storage protein and an acute phase reactant. Hyperferritinemia is frequently seen in the critically ill where it has been hypothesized that not only underlying conditions but also factors such as transfusions, hemodialysis and extracorporeal life support (ECLS) lead to hyperferritinemia. This study aims to investigate the influence of transfusions, hemodialysis, and ECLS on hyperferritinemia in a multidisciplinary ICU cohort. Methods This is a post-hoc analysis of a retrospective observational study including patients aged ≥ 18 years who were admitted to at least one adult ICU between January 2006 and August 2018 with hyperferritinemia ≥ 500 μg/L and of ≥ 14 days between two ICU ferritin measurements. Patients with hemophagocytic lymphohistiocytosis (HLH) were excluded. To identify the influence of transfusions, hemodialysis, and ECLS on ferritin change, multivariable linear regression analysis with ferritin change between two measurements as dependent variable was performed. Results A total of 268 patients was analyzed. Median duration between measurements was 36 days (22–57). Over all patients, ferritin significantly increased between the first and last measurement (p = 0.006). Multivariable linear regression analysis showed no effect of transfusions, hemodialysis, or ECLS on ferritin change. Changes in aspartate aminotransferase (ASAT) and sequential organ failure assessment (SOFA) score were identified as influencing factors on ferritin change [unstandardized regression coefficient (B) = 2.6; (95% confidence interval (CI) 1.9, 3.3); p < 0.001 and B = 376.5; (95% CI 113.8, 639.1); p = 0.005, respectively]. Using the same model for subgroups of SOFA score, we found SOFA platelet count to be associated with ferritin change [B = 1729.3; (95% CI 466.8, 2991.9); p = 0.007]. No association of ferritin change and in-hospital mortality was seen in multivariable analysis. Conclusions The present study demonstrates that transfusions, hemodialysis, and ECLS had no influence on ferritin increases in critically ill patients. Hyperferritinemia appears to be less the result of iatrogenic influences in the ICU thereby underscoring its unskewed diagnostic value. Trial registration The study was registered with www.ClinicalTrials.gov (NCT02854943) on August 1, 2016.

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Patient Characteristics and Medical Provider Factors Are Associated With Length of Stay in Total Hip Arthroplasty Patients: a Retrospective Chinese Cohort Study

10.21203/rs.3.rs-35548/v1 ◽

2020 ◽

Author(s):

Hui Zeng ◽

Guoqing Li ◽

Fei Yu ◽

Jian Weng ◽

Ao Xiong ◽

...

Keyword(s):

Regression Analysis ◽

Total Hip Arthroplasty ◽

Linear Regression ◽

Length Of Stay ◽

Hip Arthroplasty ◽

Linear Regression Analysis ◽

Patient Characteristics ◽

Medical Provider ◽

Multivariable Linear Regression Analysis ◽

The Relationship

Abstract Background Total hip arthroplasty (THA) is a successful treatment in the improvement of quality of life. Diagnosis-related groups (DRGs) payment has a significant impact on the hospital market in China and length of stay (LOS) is one of its crucial manifestations. Patient characteristics and medical provider factors can affect LOS but the relationship is uncertain. We intent to explore the relationship between patient characteristics and medical provider factors and LOS of primary THA patients. Methods We reviewed the database containing 461 patients who underwent primary THA between January 2014 to January 2019 and regressed the LOS against a variety of perioperative factors. A multivariable linear regression model was performed to assess the difference. Results For parts of patient characteristics, multivariable linear regression analysis revealed that comorbidities, pre-operation albumin < 30 g/L, and pre-operation CRP ≥ 5 mg/L were all significantly associated with LOS (p < 0.05). For parts of medical provider factors, multivariable linear regression analysis revealed that date of surgery, urinary catheter, and incision drainage were all significantly associated with LOS (p < 0.05). Conclusions Patient characteristics and medical provider factors are associated with LOS of THA patients. Evaluation and identification of risk factors are beneficial in patients' education, perioperative discussion and surgery decisions in the different primary THA patient populations.

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Abstract P269: Circulating Fatty Acids, Determinants and Use as Biomarkers for Dietary Intake: The CoDAM and Hoorn Study

Circulation ◽

10.1161/circ.133.suppl_1.p269 ◽

2016 ◽

Vol 133 (suppl_1) ◽

Author(s):

Anne J Wanders ◽

Sabine E De Hoon ◽

Marjan Alssema ◽

Edith J Feskens ◽

Geertruida J Van Woudenbergh ◽

...

Keyword(s):

Fatty Acids ◽

Regression Analysis ◽

Waist Circumference ◽

Linear Regression ◽

Dietary Intake ◽

Alcohol Intake ◽

Linear Regression Analysis ◽

Epa And Dha ◽

Health Factors ◽

Multivariable Linear Regression Analysis

Objective: To increase the understanding of circulating fatty acids (FA) as biomarkers of FA intake, we investigated (1) determinants of circulating proportions of linoleic acid (LA), alpha-linolenic acid (ALA), eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA); and (2) the effect of demographic, lifestyle, and health factors on the relation between circulating and self-reported intake of LA, ALA, EPA, and DHA. Hypothesis: We hypothesized that demographic, lifestyle, and health factors influence the relation between circulating and self-reported intake of FA. Methods: Cross-sectional analysis in combined data from the CoDAM (n=472) and Hoorn study (n=708). Dietary FA intakes (% of total FA) were calculated from a validated 79-item semi-quantitative food frequency questionnaire. Fasting total fatty acids (% of total FA) in plasma (CoDAM) or serum (Hoorn) were measured by gas liquid chromatography. The variation in circulating proportions of FA explained by demographic, lifestyle and health factors was calculated by multivariable linear regression analysis. Correlation coefficients between circulating proportions of FA and self-reported FA intakes were calculated by standardized multivariable linear regression analysis adjusted for demographic, lifestyle, and health factors. To assess the influence of specific factors on correlations, stratified analyses were performed and interactions were calculated. Results: Self-reported intakes were the primary determinants of circulating proportions of LA (partial R2: 7%), ALA (2%), EPA (9%) and DHA (16%). Standardized regression coefficients between circulating and self-reported FA were: LA β=0.280 (95% Confidence Interval: 0.227-0.333), ALA β=0.130 (0.071-0.188), EPA β=0.338 (0.281-0.395), and DHA β=0.450 (0.397-0.503). Other determinants of circulating FA were the use of lipid lowering drugs, waist circumference and sex for LA; prevalence of type 2 diabetes mellitus, age, sex, and alcohol intake for EPA; and age for DHA. The correlation between circulating and dietary LA was stronger among people with a lower vs higher waist circumference and higher vs lower alcohol intake (interaction: p<0.05). In women, the correlation between circulating and dietary EPA and DHA was weaker than in men, and the correlation between circulating and dietary DHA was higher with higher alcohol intake. Underreporting of energy intake did not affect the correlations. Conclusion: Self-reported intake of FA is the primary, but not the only determinant of circulating proportions of LA, ALA, EPA and DHA. This analysis indicates that demographic, lifestyle, and health characteristics may influence the relation between circulating proportions and self-reported intake of FA. Improved understanding is needed of factors determining circulating FA and the implication for their use as biomarkers of dietary intake in different subgroups.

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Quantitative analysis of the effect of institutional case volume on complications after surgical clipping of unruptured aneurysms

Journal of Neurosurgery ◽

10.3171/2016.9.jns161875 ◽

2017 ◽

Vol 127 (6) ◽

pp. 1297-1306 ◽

Cited By ~ 3

Author(s):

Lorenzo Rinaldo ◽

Brandon A. McCutcheon ◽

Meghan E. Murphy ◽

Daniel L. Shepherd ◽

Patrick R. Maloney ◽

...

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Linear Regression Analysis ◽

Stroke Rate ◽

Case Volume ◽

Surgical Clipping ◽

Cart Analysis ◽

Different Types ◽

Relationship Of ◽

The Relationship

OBJECTIVEThe mechanism by which greater institutional case volume translates into improved outcomes after surgical clipping of unruptured intracranial aneurysms (UIAs) is not well established. The authors thus aimed to assess the effect of case volume on the rate of various types of complications after clipping of UIAs.METHODSUsing information on the outcomes of inpatient admissions for surgical clipping of UIAs collected within a national database, the relationship of institutional case volume to the incidence of different types of complications after clipping was investigated. Complications were subdivided into different categories, which included all complications, ischemic stroke, intracerebral hemorrhage, medical complications, infectious complications, complications related to anesthesia, and wound complications. The relationship of case volume to different types of complications was assessed using linear regression analysis. The relationships between case volume and overall complication and stroke rates were fit with both linear and quadratic equations. The numerical cutoff for institutional case volume above and below which the authors found the greatest differences in mean overall complication and stroke rate was determined using classification and regression tree (CART) analysis.RESULTSBetween October 2012 and September 2015, 125 health care institutions reported patient outcomes from a total of 6040 cases of clipping of UIAs. On linear regression analysis, increasing case volume was negatively correlated to both overall complications (r2 = 0.046, p = 0.0234) and stroke (r2 = 0.029, p = 0.0557) rate, although the relationship of case volume to the complication (r2 = 0.092) and stroke (r2 = 0.067) rate was better fit with a quadratic equation. On CART analysis, the cutoff for the case number that yielded the greatest difference in overall complications and stroke rate between higher- or lower-volume centers was 6 cases/year and 3 cases/year, respectively.CONCLUSIONSAlthough the authors confirm that increasing case volume is associated with reduced complications after clipping of UIAs, their results suggest that the relationship between case volume and complications is not necessarily linear. Moreover, these results indicate that the effect of case volume on outcome is most evident between very-low-volume centers relative to centers with a medium-to-high volume.

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Abstract 17129: Differences in Work Activities and Compensation of Male and Female Cardiologists in Community Practice in 2013

Circulation ◽

10.1161/circ.132.suppl_3.17129 ◽

2015 ◽

Vol 132 (suppl_3) ◽

Author(s):

Reshma Jagsi ◽

Cathie Biga ◽

Athena Poppas ◽

George P Rodgers ◽

Mary N Walsh ◽

...

Keyword(s):

Regression Analysis ◽

Gender Difference ◽

Linear Regression ◽

Linear Regression Analysis ◽

Gender Diversity ◽

Full Time ◽

Community Practice ◽

Practice Characteristics ◽

Invasive Cardiology ◽

Multivariable Linear Regression Analysis

Background: Despite laudable efforts to increase gender diversity in cardiology, much remains unknown about the experiences - including working activities and pay - of those women who have joined this still predominantly male specialty. Hypothesis: We hypothesized that a gender difference in compensation would exist on unadjusted analyses and that this could be explained by differences in the many personal, job, and practice characteristics measured in our dataset. Methods: Using the 2013 annual practice survey of MedAxiom, a subscription-based service provider for cardiology practices, we described personal, job, and practice characteristics of cardiologists from 161 practices and their salary by gender. Multivariable linear regression analysis and the Peters-Belson technique of labor economics were applied to evaluate gender differences. Results: Of 2679 subjects, 229 (8.5%) were female and 2450 male. Women were more likely to have specialized in general/non-invasive cardiology (53.1% vs 28.2%), and a lower proportion (11.4% vs 39.3%) reported an interventional subspecialty compared to men. Numerous job characteristics differed by gender, including the proportion working full-time (79.9% of women vs 90.9% of men, p<0.001), number of half-days worked (median 422 for women vs 433 for men, p=0.001), and wRVUs generated (median 7430 for women vs 9301 for men, p<0.001). Median salary was $394,586 (IQR: $256,064; $518,277) among women and $502,251 ($381,417; $621,306) among men. Peters-Belson analysis revealed that the women in this sample would have been expected to have a mean salary of $432,631, based on their productivity and other characteristics, had they been male, but the actual observed mean salary among women was $400,882 (unexplained difference=$31,749, 95% CI $16,303 - $48,028). Multivariable linear regression analysis yielded significant results similar in direction and magnitude. Conclusions: This study provides novel information about the diverse jobs held by men and women practicing cardiology in the US today. The observed gender difference in compensation, which remained substantial and significant even after adjusting for differences in multiple measures of productivity and job activity, merits attention.

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Optimization of the production of bacterial cellulose using multivariable linear regression analysis

Acta Biotechnologica ◽

10.1002/abio.370190312 ◽

1999 ◽

Vol 19 (3) ◽

pp. 251-260 ◽

Cited By ~ 15

Author(s):

E. Galas ◽

A. Krystynowicz ◽

L. Tarabasz-Szymanska ◽

T. Pankiewicz ◽

M. Rzyska

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Bacterial Cellulose ◽

Linear Regression Analysis ◽

Multivariable Linear Regression Analysis

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Shortening of Leucocyte Telomerase Length Is Independently Correlated With High Body Mass Index and Subcutaneous Obesity (Predominantly Truncal), in Asian Indian Women With Prediabetes

10.21203/rs.3.rs-876526/v1 ◽

2021 ◽

Author(s):

Surya Prakash Bhatt ◽

Anoop Misra ◽

Ravindra Mohan Pandey ◽

Ashish Datt Upadhyay

Keyword(s):

Body Mass Index ◽

Regression Analysis ◽

Linear Regression ◽

Body Mass ◽

Asian Indian ◽

Quantitative Polymerase Chain Reaction ◽

Linear Regression Analysis ◽

Indian Women ◽

Asian Indian Women ◽

Multivariable Linear Regression Analysis

Abstract Introduction: Leucocyte telomerase length (LTL) are inked to accelerate aging and premature mortality. In this research, we aimed to explore the relations between biochemical and anthropometry markers and LTL in Asian Indian women with prediabetes.Methods: In this study, 797 prediabetic women (aged 20-60 years, obese, 492; non obese, 305) were recruited. Demographic and clinical profiles, medical history, skin exposure and duration of sunlight exposure were determined. Anthropometry, fasting blood glucose and serum 25-hydroxyvitamin D [25(OH) D] were evaluated. LTL was quantified by a quantitative polymerase chain reaction (qPCR). The study subjects were separated into quartiles groups according to the LTL.Results: The average telomerase length (T/S) ratio was significantly decreased with increasing age. The average telomerase length (T/S) ratio was significantly shorter in obese women with prediabetes (p<0.05). Univariate and multivariable linear regression analysis after adjustment for age, family income, education and hypertension showed that LTL was inversely correlated with body mass index (BMI), waist and hip circumference, waist-hip and waist-to-height ratio, and truncal skinfolds (subscapular, lateral thoracic, and subscapular/triceps ratio, central and total). Multivariable linear regression analysis identified BMI (93%, p<0.0001), central (92%, p<0.0001) and total skinfolds (90%, p<0.0001) as independent predictors of LTL. Conclusions: Besides age, obesity, and subcutaneous adiposity (predominantly truncal) are major contributors to telomerase shortening in Asian Indian women with prediabetes.

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