Linear Regression

Neuraxial versus general anesthesia for perioperative outcomes and resource utilization following knee arthroplasty: experience from a large national database

INTRODUCTION

Attentions have been paid to the optimal anesthesia for knee arthroplasty (KA). We sought to investigate whether neuraxial anesthesia (NA) is superior to general anesthesia (GA) in terms of perioperative outcomes and resource utilization following KA.

METHODS

Patients undergoing primary KA registered in the Hospital Quality Monitoring System (HQMS) in China during 2013-2019 were identified. By utilizing a time-stratified propensity score matching, every patient receiving NA was matched by propensity score to a patient receiving GA. Then, we conducted Poisson, logistic, and linear regression to compare NA with GA in terms of perioperative outcomes and resource utilization.

RESULTS

Of 109,132 included participants, 75,945 (69.59%) underwent KA with GA and 33,187 (30.41%) with NA. After propensity score matching (26,425 participants per group), NA was associated with lower incidence of blood transfusion (OR: 0.82, 95% CI 0.77-0.87; p < 0.0001), 30-day readmission (OR: 0.76, 95% CI 0.68-0.84; p < 0.0001), and 90-day readmission (OR: 0.83, 95% CI 0.77-0.90; p < 0.0001). No statistically significant difference in in-hospital mortality, incidence of pulmonary embolism, deep vein thrombosis, and surgical site infection was found. In addition, NA was associated with a 1% decrease in length of stay (95% CI 0-2%; p = 0.0070) and a 3% lower total hospital charge (95% CI 2-4%; p < 0.0001) when compared with GA.

CONCLUSION

Compared with GA, NA was associated with decreased incidence of blood transfusion, readmission, reduced length of stay, and total hospital charge following KA, suggesting the favorable role of NA for perioperative outcomes and resource utilization in KA.

A regression-based machine learning approach for pH and glucose detection with redox-sensitive colorimetric paper sensors

Colorimetric paper sensors are used in various fields due to their convenience and intuitive manner. However, these sensors present low accuracy in practical use because it is difficult to distinguish color changes for a minute amount of analyte with the naked eye. Herein, we demonstrate that a machine learning (ML)-based paper sensor platform accurately determines the color changes. We fabricated a colorimetric paper sensor by adsorbing polyaniline nanoparticles (PAni-NPs), whose color changes from blue to green when the ambient pH decreases. Adding glucose oxidase (GOx) to the paper sensor enables colorimetric glucose detection. Target analytes (10 μL) were aliquoted onto the paper sensors, and their images were taken with a smartphone under the same conditions in a darkroom. The red-green-blue (RGB) data from the images were extracted and used to train and test three regression models: support vector regression (SVR), decision tree regression (DTR), and random forest regression (RFR). Of the three regression models, RFR performed the best at estimating pH levels (R² = 0.957) ranging from pH 2 to 10 and glucose concentrations (R² = 0.922) ranging from 0 to 10 mg mL^-1.

Comparative impact of two continuing education activities targeted at COPD educators on educational outcomes: protocol for a non-randomized controlled study using mixed methods

Background

Therapeutic patient education (TPE) improves quality of life and reduces health care utilization among patients with chronic obstructive pulmonary disease (COPD). However, benefits from TPE might depend on the performance of the educators and training is needed to ensure the effective delivery of TPE interventions. Based on the framework by Moore et al. (J Contin Educ Health Prof 29:1-15, 2009), we will compare the impact of two continuing education (CE) activities on TPE in regard to the following educational outcomes: (1) learning, (2) self-report of competence, (3) performance of the educators, and (4) outcomes of COPD patients who will meet the newly trained educators for TPE.

Methods

We will conduct a non-randomized controlled study using mixed methods. Educators will first participate in a CE activity on TPE that will include a role-playing simulation (experimental group) or in a lecture on TPE (comparison group) and then will perform TPE in COPD patients. Among educators, we will assess: (1) learning, by measuring knowledge about TPE, and (2) self-report of competence using self-administered questionnaires before and after the activity. Then, after the CE activity, we will assess (3) educators’ performance levels in delivering TPE by rating a videotaped TPE intervention. In COPD patients who will meet the newly trained educators for TPE after either CE activity, we will assess (4) quality of life and resource utilization using interviewer-administered questionnaires, before and after TPE. Statistical analyses will compare the experimental group against the comparison group using multivariate models. Using a semi-structured interview guide, we will conduct interviews with educators and perform content analysis. Results will be integrated in order that qualitative results further explain the quantitative ones.

Discussion

To the best of our knowledge, this is the first controlled mixed methods study to compare the impact of two CE activities on TPE in regard to four educational outcomes. We believe this study will serve as a model for evaluating CE activities on TPE. Results from this study could increase educators’ performance levels in delivering effective TPE interventions, and, in turn, COPD patient outcomes.

Trial registration

The study was registered on https://clinicaltrials.gov/ (NCT02870998) on March 15, 2016.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3284-6) contains supplementary material, which is available to authorized users.

Return to work and lost earnings after acute respiratory distress syndrome: a 5-year prospective, longitudinal study of long-term survivors

BACKGROUND

Delayed return to work is common after acute respiratory distress syndrome (ARDS), but has undergone little detailed evaluation. We examined factors associated with the timing of return to work after ARDS, along with lost earnings and shifts in healthcare coverage.

METHODS

Five-year, multisite prospective, longitudinal cohort study of 138 2-year ARDS survivors hospitalised between 2004 and 2007. Employment and healthcare coverage were collected via structured interview. Predictors of time to return to work were evaluated using Fine and Grey regression analysis. Lost earnings were estimated using Bureau of Labor Statistics data.

RESULTS

Sixty-seven (49%) of the 138 2-year survivors were employed prior to ARDS. Among 64 5-year survivors, 20 (31%) never returned to work across 5-year follow-up. Predictors of delayed return to work (HR (95% CI)) included baseline Charlson Comorbidity Index (0.77 (0.59 to 0.99) per point; p=0.04), mechanical ventilation duration (0.67 (0.55 to 0.82) per day up to 5 days; p<0.001) and discharge to a healthcare facility (0.49 (0.26 to 0.93); p=0.03). Forty-nine of 64 (77%) 5-year survivors incurred lost earnings, with average (SD) losses ranging from US$38 354 (21,533) to US$43 510 (25,753) per person per year. Jobless, non-retired survivors experienced a 33% decrease in private health insurance and concomitant 37% rise in government-funded coverage.

CONCLUSIONS

Across 5-year follow-up, nearly one-third of previously employed ARDS survivors never returned to work. Delayed return to work was associated with patient-related and intensive care unit/hospital-related factors, substantial lost earnings and a marked rise in government-funded healthcare coverage. These important consequences emphasise the need to design and evaluate vocation-based interventions to assist ARDS survivors return to work.

Muscle Strength and Changes in Physical Function in Women With Systemic Lupus Erythematosus

OBJECTIVE

Cross-sectional studies have observed that muscle weakness is associated with worse physical function among women with systemic lupus erythematosus (SLE). The present study examines whether reduced upper and lower extremity muscle strength predict declines in function over time among adult women with SLE.

METHODS

One hundred forty-six women from a longitudinal SLE cohort participated in the study. All measures were collected during in-person research visits approximately 2 years apart. Upper extremity muscle strength was assessed by grip strength. Lower extremity muscle strength was assessed by peak knee torque of extension and flexion. Physical function was assessed using the Short Physical Performance Battery (SPPB). Regression analyses modeled associations of baseline upper and lower extremity muscle strength with followup SPPB scores controlling for baseline SPPB, age, SLE duration, SLE disease activity (Systemic Lupus Activity Questionnaire), physical activity level, prednisone use, body composition, and depression. Secondary analyses tested whether associations of baseline muscle strength with followup in SPPB scores differed between intervals of varying baseline muscle strength.

RESULTS

Lower extremity muscle strength strongly predicted changes over 2 years in physical function even when controlling for covariates. The association of reduced lower extremity muscle strength with reduced physical function in the future was greatest among the weakest women.

CONCLUSION

Reduced lower extremity muscle strength predicted clinically significant declines in physical function, especially among the weakest women. Future studies should test whether therapies that promote preservation of lower extremity muscle strength may prevent declines in function among women with SLE.

The effect of age on the key parameters in the Chicago classification: a study using high-resolution esophageal manometry in asymptomatic normal individuals

BACKGROUND

High-resolution manometry using the Chicago classification, which utilizes parameters including integrated relaxation pressure (IRP), distal contractile integral (DCI), and contractile front velocity (CFV), shows better diagnostic ability than previous conventional criteria. However, the current normal cut-off values for the Chicago classification are based on individuals aged 19-48 years and do not include older people. Here, we aimed to assess the normal values for the Chicago classification in individuals aged 20-67 years and compare the parameters across age groups.

METHODS

Fifty-four asymptomatic healthy individuals (27 male and 27 female; age range. 20-67 years) were prospectively enrolled. To evaluate the effect of age and sex on manometric profiles, we attempted to enroll equal numbers of male and female subjects for each decade. Manometry was performed in both the supine and sitting positions.

KEY RESULTS

The distal latency (DL) was significantly shorter with increasing age in both measurement positions. Furthermore, IRP was significantly higher with increasing age in both positions. Spearman's ranked correlation coefficient analysis indicated that DCI and IRP in both positions were positively correlated with age.

CONCLUSIONS & INFERENCES

Age affects the key parameters currently used in the Chicago classification, including IRP, DCI, and DL. Larger prospective studies with older subjects are needed to determine the age-related normal values for the Chicago classification system.