scholarly journals Big Data-Enabled Analysis of DRGs-Based Payment on Stroke Patients in Jiaozuo, China

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Dawei Qiao ◽  
Yanru Zhang ◽  
Ateeq ur Rehman ◽  
Mohammad R. Khosravi
Keyword(s):  
Big Data ◽  
Linear Regression ◽  
Influence Factor ◽  
Linear Regression Analysis ◽  
Hospital Costs ◽  
Influence Factors ◽  
Henan Province ◽  
Analysis Tool ◽  
Multivariate Linear Regression Analysis ◽  
Stroke Patients

Stroke is the first leading cause of mortality in China with annual 2 million deaths. According to the National Health Commission of the People’s Republic of China, the annual in-hospital costs for the stroke patients in China reach ¥20.71 billion. Moreover, multivariate stepwise linear regression is a prevalent big data analysis tool employing the statistical significance to determine the explanatory variables. In light of this fact, this paper aims to analyze the pertinent influence factors of diagnosis related groups- (DRGs-) based stroke patients on the in-hospital costs in Jiaozuo city of Henan province, China, to provide the theoretical guidance for medical payment and medical resource allocation in Jiaozuo city of Henan province, China. All medical data records of 3,590 stroke patients were from the First Affiliated Hospital of Henan Polytechnic University between 1 January 2019 and 31 December 2019, which is a Class A tertiary comprehensive hospital in Jiaozuo city. By using the classical statistical and multivariate linear regression analysis of big data related algorithms, this study is conducted to investigate the influence factors of the stroke patients on in-hospital costs, such as age, gender, length of stay (LoS), and outcomes. The essential findings of this paper are shown as follows: (1) age, LoS, and outcomes have significant effects on the in-hospital costs of stroke patients; (2) gender is not a statistically significant influence factor on the in-hospital costs of the stroke patients; (3) DRGs classification of the stroke patients manifests not only a reduced mean LoS but also a peculiar shape of the distribution of LoS.

scholarly journals 2011. Reaction of Clinicians to Positive Respiratory Viral Panels in Non-critically Ill Patients Without Bacterial Infection

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S675-S675
Author(s):  
Jason C Gallagher ◽  
Sara Lee ◽  
Leah Rodriguez ◽  
Jacqueline Emily Von Bulow ◽  
Kaede Ota Sullivan
Keyword(s):  
Linear Regression ◽  
Bacterial Infection ◽  
Linear Regression Analysis ◽  
Solid Organ Transplantation ◽  
Retrospective Chart Review ◽  
Multivariate Linear Regression ◽  
Antibiotic Prescribing ◽  
Antibiotic Administration ◽  
Multivariate Linear Regression Analysis ◽  
Solid Organ

Abstract Background Respiratory viral panels (RVPs) can detect multiple viral pathogens and give clinicians diagnostic confidence to discontinue antibiotics. However, relatively little is known about how these tests influence antibiotic prescribing in hospital settings. Methods This was a 26-month retrospective chart review of patients with positive RVPs. Hospitalized adults receiving antibiotics at the time of the RVP were included. Exclusion criteria were: ICU care, solid-organ transplantation (SOT), positive RVP for influenza, positive bacterial cultures, and antibiotic administration for bacterial infection (e.g., cellulitis). A multivariate linear regression model was created to investigate associations with longer antibiotic use after a positive RVP. Results 1,346 patients were screened and 242 met inclusion criteria. Primary reasons for exclusion were SOT, ICU, and influenza diagnosis. Patients were a median age of 60.5 years [IQR 51,70] and 35.5% were men. The median length of stay (LOS) was 4 days [IQR 3.6]. 233 patients (6.3%) had chest radiology performed, of which 71 (30.4%) had possible pneumonia noted. 50 (20.7%) were immunocompromised (IC). 199 (82.2%) had a history of pulmonary disease, most commonly COPD. Rhinovirus was isolated in 156 patients (64.5%), followed by metapneumovirus (35, 14.9%) and RSV (32, 13.3%). Antibiotics were given for a median total of 3 days [IQR 3.6]; they were discontinued within 24 hours of the RVP result in 107 patients (44.2%). Conclusion In this population of patients with viral infection and no discernable bacterial infection, 44.2% of patients had antibiotics discontinued within 24 hours of RVP results. On multivariate linear regression analysis, younger age, longer LOS, and IC status were associated with longer antibiotic duration after a positive RVP. A comparison with patients with negative RVP results could reveal if the test prompted discontinuation. Disclosures All authors: No reported disclosures.

Correlation between FA and ADC, number and length of the periprostatic neurovascular fibers

2021 ◽  
pp. 039156032110637
Author(s):  
Valerio Di Paola ◽  
Angelo Totaro ◽  
Giacomo Avesani ◽  
Benedetta Gui ◽  
Andrea Boni ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Negative Correlation ◽  
Multivariate Regression ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Independent Variables ◽  
Fiber Tracts ◽  
Good Agreement

Purpose: Our aim was to explore the relation between FA and ADC, number and length of the periprostatic neurovascular fibers (PNF) by means of 1.5 T Diffusion Tensor Imaging (DTI) imaging through a multivariate linear regression analysis model. Methods: For this retrospective study, 56 patients (mean age 63.5 years), who underwent 1.5-T prostate MRI, including DTI, were enrolled between October 2014 and December 2018. Multivariate regression analysis was performed to evaluate the statistically significant correlation between FA values (dependent variable) and ADC, the number and the length of PNF (independent variables), if p-value <0.05. A value of 0.5 indicated poor agreement; 0.5–0.75, moderate agreement; 0.75–0.9, good agreement; 0.61–0.80, good agreement; and 0.9–1.00, excellent agreement. Results: The overall fit of the multivariate regression model was excellent, with R2 value of 0.9445 ( R2 adjusted 0.9412; p < 0.0001). Multivariate linear regression analysis showed a statistically significant correlation ( p < 0.05) for all the three independent variables. The r partial value was −0.9612 for ADC values ( p < 0.0001), suggesting a strong negative correlation, 0.4317 for the number of fiber tracts ( p < 0.001), suggesting a moderate positive correlation, and −0.306 for the length of the fiber tracts ( p < 0.05), suggesting a weak negative correlation. Conclusions: Our multivariate linear regression model has demonstrated a statistically significant correlation between FA values of PNF with other DTI parameters, in particular with ADC.

scholarly journals Investigation of Predictability and Influence factors of the Achieved Lenticule Thickness in Small Incision Lenticule Extraction

2019 ◽  
Author(s):  
Fang Wu ◽  
Houfa Yin ◽  
Xinyi Chen ◽  
Yabo Yang
Keyword(s):  
Linear Regression ◽  
Linear Regression Analysis ◽  
Influence Factors ◽  
Small Incision Lenticule Extraction ◽  
Pupil Center ◽  
Small Incision ◽  
Significant Relationships ◽  
Ultrasound Pachymetry ◽  
Lenticule Extraction ◽  
The Difference

Abstract Background To evaluate the differences between the predicted and achieved lenticule thickness (ΔLT) after small incision lenticule extraction (SMILE) surgery and investigate relationships between ΔLT and refractive errors or lenticule depth in SMILE. Methods A total of 184 eyes from 184 consecutive patients who underwent SMILE were included in this prospective study. One eye for each patient was randomly selected and included for statistical analysis. An ultrasound pachymetry measurement and Scheimpflug camera corneal topography were obtained before and at 3 months after SMILE. The achieved lenticule thickness was calculated by comparing the preoperative examinations with postoperative examinations using ultrasound pachymetry and Pentacam software measurements. The pupil center and corneal vertex were selected as the 2 locations for measurement calculation on Pentacam. Analysis of variance (ANOVA) was performed to compare mean pachymetry values using different instruments. An independent t test was performed to evaluate the difference in ΔLT between different cap thicknesses. Linear regression analyses were performed between the VisuMax readout lenticule thicknesses and the measured maximum corneal change, the preoperative spherical equivalent (SE) and each ΔLT. Results On average, the achieved lenticule thickness measured with ultrasound pachymetry was 13.02 ± 8.87 μm thinner than the VisuMax readout lenticule thickness. Linear regression analysis showed significant relationships between the predicted and each achieved lenticule thickness. The preoperative SE was significantly related to each ΔLT (ultrasound: R2 =0.279; at corneal vertex: R2 =0.252; at pupil center R2 =0.246). The ΔLT measured by ultrasound pachymetry was significantly smaller in the thick cap group (cap thickness above 120 μm) than in the thin cap group (P < 0.01). Conclusions An overestimation of achieved lenticule thickness was found in this study. The ΔLT was related to the preoperative SE correction. Furthermore a lager ΔLT was found under a thin cap.

scholarly journals PENGARUH KUALITAS PRODUK TERHADAP KEPUTUSAN KONSUMEN MEMBELI MOBIL MEREK TOYOTA AGYA DI KOTA PALU (PT. HADJI KALLA)

2020 ◽  
Vol 2 (2) ◽  
pp. 107-116
Author(s):  
Rizcky Ardiansyah ◽  
Rosida P Adam ◽  
Bakri Hasanuddin
Keyword(s):  
Decision Making ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Product Quality ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Regression Equation ◽  
Analysis Tool

The objective of the research is to find out and analyze the influence of product quality on decision-making, both simultaneously and partially. The research is verificative. The sample involves consumers of Agya car at PT. Hadji Kalla. The analysis tool used is multiple linear regression analysis. The result of regression equation from the study is -2.887 + 0,237 X1+ 0,220X2 + 0,217X3 + 0,319X4 + 0,166X5 + 0,418X6 + 0,140X7. Product Quality partially has significant to decision-making.                                 Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis pengaruh Kualitas Produk keputusan menandai baik secara simultan maupun parsial. Penelitian ini merupakan penelitian verifikatif. sampel adalah konsumen Of Agya di PT. Hadji Kalla. Alat analisis yang digunakan adalah beberapa analisis regresi linear. Hasil persamaan regresi dari penelitian ini adalah -2,887 + 0.237 X1 + 0,220X2 + 0,217X3 + 0,319X4 + 0,166X5 + 0,418X6 + 0,140X7. Kualitas produk parsial memiliki signifikan untuk pembuatan keputusan.

scholarly journals Analysis of an overlapping surgery policy change on costs in a high-volume neurosurgical department

2019 ◽  
Vol 131 (3) ◽  
pp. 903-910 ◽  
Author(s):  
Jian Guan ◽  
Michael Karsy ◽  
Andrea A. Brock ◽  
William T. Couldwell ◽  
John R. W. Kestle ◽  
...  
Keyword(s):  
Policy Change ◽  
Linear Regression Analysis ◽  
Hospital Costs ◽  
Medical Community ◽  
Neurosurgical Procedures ◽  
Multivariate Linear Regression Analysis ◽  
Neurosurgical Department ◽  
Total Hospital ◽  
Entire Cohort ◽  
Significant Difference

OBJECTIVEOverlapping surgery remains a controversial topic in the medical community. Although numerous studies have examined the safety profile of overlapping operations, there are few data on its financial impact. The authors assessed direct hospital costs associated with neurosurgical operations during periods before and after a more stringent overlapping surgery policy was implemented.METHODSThe authors retrospectively reviewed the records of nonemergency neurosurgical operations that took place during the periods from June 1, 2014, to October 31, 2014 (pre–policy change), and from June 1, 2016, to October 31, 2016 (post–policy change), by any of the 4 senior neurosurgeons authorized to perform overlapping cases during both periods. Cost data as well as demographic, surgical, and hospitalization-related variables were obtained from an institutional tool, the Value-Driven Outcomes database.RESULTSA total of 625 hospitalizations met inclusion criteria for cost analysis; of these, 362 occurred prior to the policy change and 263 occurred after the change. All costs were reported as a proportion of the average total hospitalization cost for the entire cohort. There was no significant difference in mean total hospital costs between the prechange and postchange period (0.994 ± 1.237 vs 1.009 ± 0.994, p = 0.873). On multivariate linear regression analysis, neither the policy change (p = 0.582) nor the use of overlapping surgery (p = 0.273) was significantly associated with higher total hospital costs.CONCLUSIONSA more restrictive overlapping surgery policy was not associated with a reduction in the direct costs of hospitalization for neurosurgical procedures.

Abstract P519: Multivitamin Use And Arterial Stiffness In Older Women And Men

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Chisa Matsumoto ◽  
Susanne Rautiainen ◽  
Elise Roche ◽  
JoAnn E Manson ◽  
Howard D Sesso
Keyword(s):  
Linear Regression ◽  
Arterial Stiffness ◽  
Large Scale ◽  
Augmentation Index ◽  
Linear Regression Analysis ◽  
Effect Modification ◽  
Multivariate Linear Regression ◽  
Self Report ◽  
Multivariate Linear Regression Analysis ◽  
Multivitamin Use

Introduction: A multivitamin (MV) is the most commonly taken supplement in older U.S. adults. Arterial stiffness is an important intermediate marker of cardiovascular disease (CVD). However, few studies have examined the association of MV use and arterial stiffness. Hypothesis: Regular multivitamin use is associated with lower levels of arterial stiffness. Methods: A subcohort of participants enrolled in the COcoa Supplement and Multivitamin Outcomes Study (COSMOS), a large scale randomized clinical trial testing a MV and a cocoa extract supplement on CVD and cancer, completed baseline measurement of arterial stiffness assessed by pulse wave velocity (PWV), augmentation index (AI), and central blood pressure (CBP). Frequency and duration of MV use was assessed via self-report questionnaire at baseline. The cross-sectional association of MV use and arterial stiffness was evaluated by multivariate linear regression with adjustment for conventional CVD risk factors. We also performed subgroup analyses to evaluate effect modification between MV use and sex, age, body mass index (BMI), and hypertension. Results: A total of 470 (229 women and 241 men) COSMOS participants were included in this study, with mean age 69.1±5.2 years, of whom 150 (32%) reported current MV use at baseline. Multivariate linear regression analysis revealed that current MV use (yes versus no) was significantly associated with lower PWV (β:-0.59±1.02, p=0.004) but not associated with other measures of arterial stiffness, including AI or CBP. There were also no consistent associations between frequency and duration of MV use with any of the measures of arterial stiffness. Also, there was no effect modification by sex, age, BMI, or hypertension on the association between MV use and arterial stiffness. Conclusions: MV use was associated with lower PWV in older subjects. Further results from the COSMOS trial on randomized MV supplementation and changes in arterial stiffness over 2 years will further elucidate the effects of MV on arterial stiffness.

scholarly journals Relationship between Thyroid and Kidney Function: Analysis from the Korea National Health and Nutrition Examination Survey Between 2013 and 2015

2020 ◽  
Vol 45 (3) ◽  
pp. 442-454 ◽  
Author(s):  
Sang Hyuk Kim ◽  
Hyang Ki Min ◽  
Sung Woo Lee
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Kidney Function ◽  
Thyroid Function ◽  
Direct Effect ◽  
National Health ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Health And Nutrition

Introduction: Thyroid function is evaluated by thyroid stimulating hormone (TSH) and free thyroxine (fT4). Although many studies have indicated an intimate relationship between thyroid hormones and kidney functions, reports about the simultaneous evaluation of TSH and fT4 are rare. Objective: We aimed to analyze the association between TSH and kidney function, with emphasis on a potential nonlinear relationship, and identify an independent relationship between fT4 and kidney function. Methods: We reviewed the data of 7,061 subjects in the Korea National Health and Nutrition Examination Surveys who were randomly subsampled for thyroid function evaluation between 2013 and 2015. A total of 5,578 subjects were included in the final analysis, after excluding people <18 years old, and those with a short fasting time, abnormal fT4 levels, and thyroid disease or related medications. Creatinine-based estimated glomerular filtration rate (eGFR) was used to define kidney function. Results: A 1 mmol/L increase of logarithmic TSH was associated with decreased eGFR (β: –1.8; 95% CI –2.3 to –1.2; p < 0.001), according to multivariate linear regression analysis. On the multivariate generalized additive model plot, TSH demonstrated an L-shaped relationship with eGFR, showing a steeper slope for 0–4 mIU/L of TSH. A 1 µg/dL increase of fT4 was also associated with decreased eGFR (β: –7.0; 95% CI –0.94 to –4.7; p < 0.001) on the multivariate linear regression analysis; this association was reversed after adjusting for age. On the mediation analysis, the indirect effect via age and direct effect per 1 µg/dL increase of fT4 on eGFR was 9.9 (8.1 to 11.7, p < 0.001) and –7.1 (–9.3 to –4.8, p < 0.001), respectively. Conclusions: Increased TSH was associated with decreased eGFR, particularly in the reference range. The direct effect of increased fT4 was decreased eGFR, which may be affected indirectly by age.

scholarly journals Baseline Triglyceride Level Affected the Efficacy of Vildagliptin in Treating Type 2 Diabetes: A Post Hoc Analysis of the VISION Study

2019 ◽  
Vol 2019 ◽  
pp. 1-5
Author(s):  
Lingli Zhou ◽  
Xiaoling Cai ◽  
Yingying Luo ◽  
Fang Zhang ◽  
Linong Ji
Keyword(s):  
Type 2 Diabetes ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Chinese Patients ◽  
High Dose ◽  
Multivariate Linear Regression Analysis ◽  
Post Hoc Analysis ◽  
Post Hoc

Identifying factors that may impact vildagliptin’s efficacy could contribute to individualized treatment for patients with type 2 diabetes. In the current study, we aimed to assess the correlation between patient baseline triglyceride (TG) and efficacy of vildagliptin in Chinese patients with type 2 diabetes in a post hoc analysis of the VISION study. TG-based subgroup analysis was performed to evaluate baseline TG’s impact on the decrease of glycated hemoglobin (HbA1c) in patients receiving vildagliptin plus low-dose metformin (VLDM) vs. high-dose metformin (HDM). Additionally, multivariate linear regression was performed to assess the association between baseline TG and HbA1c reduction at weeks 12 and 24 for patients receiving VLDM vs. HDM. For patients receiving VLDM, baseline TG≤2.03 mmol/L was associated with significantly greater HbA1c reduction vs. TG>2.03 mmol/L at week 12, but not at week 24. Additionally, multivariate linear regression analysis revealed a significant independent association and an association short of statistical significance between patient baseline TG and the HbA1c-reducing efficacy of VLDM at weeks 12 (P<0.001) and 24 (P=0.082), respectively, while such association was absent for HDM. Collectively, baseline TG was an independent predictive factor for the efficacy of a dipeptidyl peptidase-IV in treating type 2 diabetes during its initial use.

scholarly journals Longer shared parental leave is associated with longer duration of breastfeeding: a cross-sectional study among Swedish mothers and their partners

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Maria Grandahl ◽  
Jenny Stern ◽  
Eva-Lotta Funkquist
Keyword(s):  
Linear Regression ◽  
Parental Leave ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Vaginal Birth ◽  
Breastfeeding Duration ◽  
Multivariate Linear Regression Analysis ◽  
Sectional Study ◽  
Cross Sectional ◽  
Duration Of Breastfeeding

Abstract Background Breastfeeding is associated with health benefits for both the mother and infant and is therefore important to support; moreover, parental leave is a beneficial factor for breastfeeding. The Swedish parental leave is generous, allowing each parent to take 90 days; additionally, a further 300 days can be taken by either parent. Generally, mothers take 70% of the parental leave days, mainly during the first year. However, breastfeeding duration has declined in the last decade, and it is not known how shared parental leave is associated with the duration of breastfeeding. Aim To investigate how parental leave is associated with the duration of exclusive and partial breastfeeding of the infant during the first 12 months after birth. An additional aim was to describe infants’ and parents’ characteristics and mode of birth in association with the duration of exclusive and partial breastfeeding. Methods This cross-sectional study was part of the Swedish Pregnancy Planning Study, conducted in Sweden in 2012–2015. The parents were recruited at 153 antenatal clinics in nine counties. In total, 813 couples completed a follow-up questionnaire 1 year after birth. Linear regression models were used to analyse the association between parental leave and the duration of breastfeeding. Results Infants were exclusively breastfed for, on average, 2.5 months (range 0–12 months) and partially breastfed, on average, 7 months (range 0–12 months). Most of the parental leave was taken by the mother (mean = 10.9 months) during the infant’s first 12 months, while the partner took 3 months, on average. The parental leave (used and planned) during the infant’s first 24 months were, on average, 21 months. In the multivariate linear regression analysis, mothers’ and partners’ high level of education (p < 0.001, p = 0.044, respectively), mothers’ higher age (p = 0.049), non-instrumental vaginal birth (p = 0.004) and longer parental leave for the first 24 months (p < 0.001) were associated with longer duration of partial breastfeeding. Conclusion The duration of partial breastfeeding was associated with higher parental educational level, higher age, non-instrumental vaginal birth and longer parental leave.

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