Lawrence W. Svenson

Bio: Lawrence W. Svenson is an academic researcher from University of Alberta. The author has contributed to research in topics: Population & Vaccination. The author has an hindex of 45, co-authored 170 publications receiving 7712 citations. Previous affiliations of Lawrence W. Svenson include Alberta Health Services & Foothills Medical Centre.

Prognosis for long-term survival and renal recovery in critically ill patients with severe acute renal failure: a population-based study

Abstract: Severe acute renal failure (sARF) is associated with considerable morbidity, mortality and use of healthcare resources; however, its precise epidemiology and long-term outcomes have not been well described in a non-specified population. Population-based surveillance was conducted among all adult residents of the Calgary Health Region (population 1 million) admitted to multidisciplinary and cardiovascular surgical intensive care units between May 1 1999 and April 30 2002. Clinical records were reviewed and outcome at 1 year was assessed. sARF occurred in 240 patients (11.0 per 100,000 population/year). Rates were highest in males and older patients (≥65 years of age). Risk factors for development of sARF included previous heart disease, stroke, pulmonary disease, diabetes mellitus, cancer, connective tissue disease, chronic renal dysfunction, and alcoholism. The annual mortality rate was 7.3 per 100,000 population with rates highest in males and those ≥65 years. The 28-day, 90-day, and 1-year case-fatality rates were 51%, 60%, and 64%, respectively. Increased Charlson co-morbidity index, presence of liver disease, higher APACHE II score, septic shock, and need for continuous renal replacement therapy were independently associated with death at 1 year. Renal recovery occurred in 78% (68/87) of survivors at 1 year. sARF is common and males, older patients, and those with underlying medical conditions are at greatest risk. Although the majority of patients with sARF will die, most survivors will become independent from renal replacement therapy within a year.

The high risk of stroke immediately after transient ischemic attack: a population-based study.

Abstract: Background: The risk of stroke is elevated in the first 48 hours after TIA. Previous prognostic models suggest that diabetes mellitus, age, and clinical symptomatology predict stroke. The authors evaluated the magnitude of risk of stroke and predictors of stroke after TIA in an entire population over time. Methods: Administrative data from four different databases were used to define TIA and stroke for the entire province of Alberta for the fiscal year (April 1999–March 2000). The age-adjusted incidence of TIA was estimated using direct standardization to the 1996 Canadian population. The risk of stroke after a diagnosis of TIA in an Alberta emergency room was defined using a Kaplan-Meier survival function. Cox proportional hazards modeling was used to develop adjusted risk estimates. Risk assessment began 24 hours after presentation and therefore the risk of stroke in the first few hours after TIA is not captured by our approach. Results: TIA was reported among 2,285 patients for an emergency room diagnosed, age-adjusted incidence of 68.2 per 100,000 population (95% CI 65.3 to 70.9). The risk of stroke after TIA was 9.5% (95% CI 8.3 to 10.7) at 90 days and 14.5% (95% CI 12.8 to 16.2) at 1 year. The risk of combined stroke, myocardial infarction, or death was 21.8% (95% CI 20.0 to 23.6) at 1 year. Hypertension, diabetes mellitus, and older age predicted stroke at 1 year but not earlier. Conclusions: Although stroke is common after TIA, the early risk is not predicted by clinical and demographic factors. Validated models to identify which patients require urgent intervention are needed.

Achalasia: incidence, prevalence and survival. A population-based study.

Abstract: Background Studies of achalasia epidemiology are important as they often yield new insights into disease etiology. In this study, our objective was to carry out the first North American population-based study of achalasia epidemiology using a governmental administrative database. Methods All residents in the province of Alberta, Canada receive universal healthcare coverage as a benefit. The provincial health ministry, Alberta Health and Wellness, maintains a central stakeholder database of patient demographic information and physician billing claims. We defined an achalasia case as a billing claim submitted for the years 1996‐2007 with an ICD-9-CM code of 530.0 or 530 and a Canadian Classification of Procedure

Association of socio-economic status with diabetes prevalence and utilization of diabetes care services

Abstract: Background Low income appears to be associated with a higher prevalence of diabetes and diabetes related complications, however, little is known about how income influences access to diabetes care. The objective of the present study was to determine whether income is associated with referral to a diabetes centre within a universal health care system. Methods Data on referral for diabetes care, diabetes prevalence and median household income were obtained from a regional Diabetes Education Centre (DEC) database, the Canadian National Diabetes Surveillance System (NDSS) and the 2001 Canadian Census respectively. Diabetes rate per capita, referral rate per capita and proportion with diabetes referred was determined for census dissemination areas. We used Chi square analyses to determine if diabetes prevalence or population rates of referral differed across income quintiles, and Poisson regression to model diabetes rate and referral rate in relation to income while controlling for education and age. Results There was a significant gradient in both diabetes prevalence (χ 2 = 743.72, p 2 = 168.435, p Conclusion Low income is associated with a higher prevalence of diabetes and a higher population rate of referral to this regional DEC. After accounting for diabetes prevalence, however, the equal proportions referred to the DEC across income groups suggest that there is no access bias based on income.

The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

Abstract: Importance Definitions of sepsis and septic shock were last revised in 2001. Considerable advances have since been made into the pathobiology (changes in organ function, morphology, cell biology, biochemistry, immunology, and circulation), management, and epidemiology of sepsis, suggesting the need for reexamination. Objective To evaluate and, as needed, update definitions for sepsis and septic shock. Process A task force (n = 19) with expertise in sepsis pathobiology, clinical trials, and epidemiology was convened by the Society of Critical Care Medicine and the European Society of Intensive Care Medicine. Definitions and clinical criteria were generated through meetings, Delphi processes, analysis of electronic health record databases, and voting, followed by circulation to international professional societies, requesting peer review and endorsement (by 31 societies listed in the Acknowledgment). Key Findings From Evidence Synthesis Limitations of previous definitions included an excessive focus on inflammation, the misleading model that sepsis follows a continuum through severe sepsis to shock, and inadequate specificity and sensitivity of the systemic inflammatory response syndrome (SIRS) criteria. Multiple definitions and terminologies are currently in use for sepsis, septic shock, and organ dysfunction, leading to discrepancies in reported incidence and observed mortality. The task force concluded the term severe sepsis was redundant. Recommendations Sepsis should be defined as life-threatening organ dysfunction caused by a dysregulated host response to infection. For clinical operationalization, organ dysfunction can be represented by an increase in the Sequential [Sepsis-related] Organ Failure Assessment (SOFA) score of 2 points or more, which is associated with an in-hospital mortality greater than 10%. Septic shock should be defined as a subset of sepsis in which particularly profound circulatory, cellular, and metabolic abnormalities are associated with a greater risk of mortality than with sepsis alone. Patients with septic shock can be clinically identified by a vasopressor requirement to maintain a mean arterial pressure of 65 mm Hg or greater and serum lactate level greater than 2 mmol/L (>18 mg/dL) in the absence of hypovolemia. This combination is associated with hospital mortality rates greater than 40%. In out-of-hospital, emergency department, or general hospital ward settings, adult patients with suspected infection can be rapidly identified as being more likely to have poor outcomes typical of sepsis if they have at least 2 of the following clinical criteria that together constitute a new bedside clinical score termed quickSOFA (qSOFA): respiratory rate of 22/min or greater, altered mentation, or systolic blood pressure of 100 mm Hg or less. Conclusions and Relevance These updated definitions and clinical criteria should replace previous definitions, offer greater consistency for epidemiologic studies and clinical trials, and facilitate earlier recognition and more timely management of patients with sepsis or at risk of developing sepsis.

KDIGO clinical practice guidelines for acute kidney injury.

Abstract: tion’, implying that most patients ‘should’ receive a particular action. In contrast, level 2 guidelines are essentially ‘suggestions’ and are deemed to be ‘weak’ or discretionary, recognising that management decisions may vary in different clinical contexts. Each recommendation was further graded from A to D by the quality of evidence underpinning them, with grade A referring to a high quality of evidence whilst grade D recognised a ‘very low’ evidence base. The overall strength and quality of the supporting evidence is summarised in table 1 . The guidelines focused on 4 key domains: (1) AKI definition, (2) prevention and treatment of AKI, (3) contrastinduced AKI (CI-AKI) and (4) dialysis interventions for the treatment of AKI. The full summary of clinical practice statements is available at www.kdigo.org, but a few key recommendation statements will be highlighted here.

Heart Disease and Stroke Statistics—2010 Update A Report From the American Heart Association

Abstract: Appendix I: List of Statistical Fact Sheets. URL: http://www.americanheart.org/presenter.jhtml?identifier=2007 We wish to thank Drs Brian Eigel and Michael Wolz for their valuable comments and contributions. We would like to acknowledge Tim Anderson and Tom Schneider for their editorial contributions and Karen Modesitt for her administrative assistance. Disclosures View this table: View this table: View this table: # Summary {#article-title-2} Each year, the American Heart Association, in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together the most up-to-date statistics on heart disease, stroke, other vascular diseases, and their risk factors and presents them in its Heart Disease and Stroke Statistical Update. The Statistical Update is a valuable resource for researchers, clinicians, healthcare policy makers, media professionals, the lay public, and many others who seek the best national data available on disease …

Heart Disease and Stroke Statistics—2007 Update A Report From the American Heart Association Statistics Committee and Stroke Statistics Subcommittee

Abstract: 1. About These Statistics…e70 2. Cardiovascular Diseases…e72 3. Coronary Heart Disease, Acute Coronary Syndrome, and Angina Pectoris…e89 4. Stroke…e99 5. High Blood Pressure…e111 6. Congenital Cardiovascular Defects…e116 7. Heart Failure…e119 8. Other Cardiovascular Diseases…e122 9. Risk Factor: Smoking/Tobacco Use…e128 10. Risk Factor: High Blood Cholesterol and Other Lipids…e132 11. Risk Factor: Physical Inactivity…e136 12. Risk Factor: Overweight and Obesity…e139 13. Risk Factor: Diabetes Mellitus…e143 14. End-Stage Renal Disease and Chronic Kidney Disease…e149 15. Metabolic Syndrome…e151 16. Nutrition…e153 17. Quality of Care…e155 18. Medical Procedures…e159 19. Economic Cost of Cardiovascular Diseases…e162 20. At-a-Glance Summary Tables…e164 21. Glossary and Abbreviation Guide…e168 Writing Group Disclosures…e171 Appendix I: List of Statistical Fact Sheets: http://www.americanheart.org/presenter.jhtml?identifier=2007 We thank Drs Robert Adams, Philip Gorelick, Matt Wilson, and Philip Wolf (members of the Statistics Committee or Stroke Statistics Subcommittee); Brian Eigel; Gregg Fonarow; Kathy Jenkins; Gail Pearson; and Michael Wolz for their valuable comments and contributions. We would like to acknowledge Tim Anderson and Tom Schneider for their editorial contributions and Karen Modesitt for her administrative assistance. # 1. About These Statistics {#article-title-2} The American Heart Association (AHA) works with the Centers for Disease Control and Prevention’s National Center for Health Statistics (CDC/NCHS); the National Heart, Lung, and Blood Institute (NHLBI); the National Institute of Neurological Disorders and Stroke (NINDS); and other government agencies to derive the annual statistics in this Update. This chapter describes the most important sources and the types of data we use from them. For more details and an alphabetical list of abbreviations, see Chapter 21 of this document, the Glossary and Abbreviation Guide. The surveys used are:

Heart Disease and Stroke Statistics—2011 Update A Report From the American Heart Association

Abstract: Rosamond, Paul D. Sorlie, Randall S. Stafford, Tanya N. Turan, Melanie B. Turner, Nathan D. Dariush Mozaffarian, Michael E. Mussolino, Graham Nichol, Nina P. Paynter, Wayne D. Ariane Marelli, David B. Matchar, Mary M. McDermott, James B. Meigs, Claudia S. Moy, Lackland, Judith H. Lichtman, Lynda D. Lisabeth, Diane M. Makuc, Gregory M. Marcus, John A. Heit, P. Michael Ho, Virginia J. Howard, Brett M. Kissela, Steven J. Kittner, Daniel T. Caroline S. Fox, Heather J. Fullerton, Cathleen Gillespie, Kurt J. Greenlund, Susan M. Hailpern, Todd M. Brown, Mercedes R. Carnethon, Shifan Dai, Giovanni de Simone, Earl S. Ford, Véronique L. Roger, Alan S. Go, Donald M. Lloyd-Jones, Robert J. Adams, Jarett D. Berry, Association 2011 Update : A Report From the American Heart −− Heart Disease and Stroke Statistics