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Additional file 1: Supplementary Table 1. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) Checklist for Prediction model development. Supplementary Table 2. Algorithms of ICD-9 and 10 codes used to define components of our composite outcome. Supplementary Table 3. Candidate Predictor definition along with source of data and ICD-9/10 algorithms if applicable. Supplementary Table 4. Surgical Categories by Canadian Classification of Health Intervention (CCI) codes. Supplementary Table 5. Estimated Sample Size Calculations using ‘pmsampsize’ in Stata software v17.0 and as suggested by Riley et al (2020). Supplementary Table 6. Top causes of death for those that died within 30 days of surgery, with associated ICD-10 codes. Supplementary Table 7. Performance of models evaluated in cohort with only first surgery per participant. Supplementary Table 8. Event and non-eventReclassification Tables between models, stratified by clinically important probability categories. Supplementary Figure 1. Decision Curve Analysis to estimate the net benefit of use of perioperative risk prediction models in ambulatory or inpatient elective surgery (sensitivity analysis).

Supplemental Material, sj-docx-1-ptd-10.1177_08968608221086752 for The availability of support and peritoneal dialysis survival: A cohort study by Danielle E Fox, Kathryn M King-Shier, Matthew T James, Lorraine Venturato, Alix Clarke, Pietro Ravani, Matthew J Oliver and Robert R Quinn in Peritoneal Dialysis International

Additional file 1:.

Supplemental material, CJKHD_Supplemental_Material_-_Appendix_1-3_Revised_Clean_Copy_-_June_29_2020_1 for Derivation and Internal Validation of a Clinical Risk Prediction Tool for Hyperkalemia-Related Emergency Department Encounters Among Hemodialysis Patients by Paul E. Ronksley, James P. Wick, Meghan J. Elliott, Robert G. Weaver, Brenda R. Hemmelgarn, Andrew McRae, Matthew T. James, Tyrone G. Harrison and Jennifer M. MacRae in Canadian Journal of Kidney Health and Disease

Supplemental_Tables_JICM for Comparative Prognostic Accuracy of Risk Prediction Models for Cardiogenic Shock by Robert J. H. Miller, Danielle Southern, Stephen B. Wilton, Matthew T. James, Bryan Har, Greg Schnell, Sean van Diepen and Andrew D. M. Grant in Journal of Intensive Care Medicine

Supplemental material, Supplementary_Figure_1,2_and_3_(1) for Kidney Function, ACE-Inhibitor/Angiotensin Receptor Blocker Use, and Survival Following Hospitalization for Heart Failure: A Cohort Study by Michael H. Chiu, Robert J. H. Miller, Rebecca Barry, Bing Li, Bryan J. Har, Stephen B. Wilton, Merril Knudtson, Jonathan G. Howlett and Matthew T. James in Canadian Journal of Kidney Health and Disease

Human negligence and ignorance concerning LPG handling can cause serious risks which may lead to fire and explosion. This study aims to create an automated system that intervenes human processes and implements necessary precautions based on the current state of the concerned area. The fulfillment of this study has produced a small scale system capable of detecting LPG concentration within the accuracy range of 85% to 100%. Results of this study shows that after detecting LPG in the environment, the system then implements specified action and notification procedures with 100% accuracy, thus preventing LPG leakage hazards to aggravate.

Background Administrative health care databases offer an efficient and accessible, though as-yet unvalidated, approach to studying outcomes of patients with chronic kidney disease and end-stage renal disease (ESRD). The objective of this study is to determine the validity of outpatient physician billing derived algorithms for defining chronic dialysis compared to a reference standard ESRD registry. Methods A cohort of incident dialysis patients (Jan. 1 - Dec. 31, 2008) and prevalent chronic dialysis patients (Jan 1, 2008) was selected from a geographically inclusive ESRD registry and administrative database. Four administrative data definitions were considered: at least 1 outpatient claim, at least 2 outpatient claims, at least 2 outpatient claims at least 90 days apart, and continuous outpatient claims at least 90 days apart with no gap in claims greater than 21 days. Measures of agreement of the four administrative data definitions were compared to a reference standard (ESRD registry). Basic patient characteristics are compared between all 5 patient groups. Results 1,118,097 individuals formed the overall population and 2,227 chronic dialysis patients were included in the ESRD registry. The three definitions requiring at least 2 outpatient claims resulted in kappa statistics between 0.60-0.80 indicating "substantial" agreement. "At least 1 outpatient claim" resulted in "excellent" agreement with a kappa statistic of 0.81. Conclusions Of the four definitions, the simplest (at least 1 outpatient claim) performed comparatively to other definitions. The limitations of this work are the billing codes used are developed in Canada, however, other countries use similar billing practices and thus the codes could easily be mapped to other systems. Our reference standard ESRD registry may not capture all dialysis patients resulting in some misclassification. The registry is linked to on-going care so this is likely to be minimal. The definition utilized will vary with the research objective.

Background Previously published equations to adjust calcium for albumin concentration may vary depending on factors such as the type of reagents used. Albumin-adjusted calcium equations derived from laboratories using the bromocresol purple (BCP) albumin binding reagent have not been described. Methods The linear regression equation for the binding of calcium and BCP-albumin was derived in a cohort of 4613 outpatients, and the albumin-adjusted calcium equation was internally validated in a separate cohort of 1538 subjects. The performance of this equation was compared with a previously published equation (adjusted [Ca](mmol/L) = total [Ca](mmol/L) + 0.02 (40 - [albumin] (g/L)) in 343 subjects with albumin < 33 g/L (below reference range). Results The local adjustment equation was expressed by the relationship; adjusted [Ca](mmol/L) = total [Ca](mmol/L) + 0.012 (39.9 - [albumin](g/L)). The equation showed evidence of good internal validity (shrinkage value of adjusted r2 = -0.0059). Classification of calcium status differed between the two equations in 47 of 343 subjects with low serum albumin (weighted κ = 0.46; moderate agreement). Conclusion A locally derived and internally validated albumin-adjusted calcium equation differed from previously published equations and resulted in important differences in classification of calcium status in hypoalbuminemia patients. Individual laboratories should determine their own linear regression equation for calcium on albumin rather than relying on published formulas.

Additional file 1. Supplementary material.

Additional file 1. Supplementary material.