The paradoxical influence of the COVID-19 lockdown period on different types of preterm births in Alberta: a provincial study

Objectives

The objective of this study was to determine if the COVID-19 pandemic impacted different types of preterm birth rates in Alberta, Canada.

Methods

A population-based, retrospective, cohort study was conducted from March 15, 2015 to December 31, 2020 using provincial data. The primary exposure was the COVID-19 lockdown period, and the primary outcome was the incidence of preterm birth (<37 weeks gestational age). Multivariable analyses in the complete lockdown and overall lockdown (partial and complete lockdown) periods were performed to test the association between the year of birth and preterm birth status and were adjusted for various independent variables. Preterm birth status was adjusted for various confounding factors.

Results

Following the analysis of n = 41,187 mothers and their singleton infants, we found that the lockdown due to COVID-19 had no impact in reducing the overall preterm birth rate. However, a paradoxical influence was observed with an increase of extremely low preterm births in the overall lockdown period, and a decrease in moderate preterm births during the complete lockdown period.

Conclusions

The results of this study demonstrated that there was a decrease in moderate and increase in extremely low preterm birth rates as a result of the COVID-19 lockdown. However, the COVID-19 lockdown did not impact the very preterm and late preterm birth rate in Alberta.

Long-term health care use and diagnosis after hospitalization for COVID-19: a retrospective matched cohort study

BACKGROUND

Knowledge pertaining to the health and health care utilization of patients after recovery from acute COVID-19 is limited. We sought to assess the frequency of new diagnoses of disease and health care use after hospitalization with COVID-19.

METHODS

We included all patients hospitalized with COVID-19 in Alberta between Mar. 5 and Dec. 31, 2020. Additionally, 2 matched controls (SARS-CoV-2 negative) per case were included and followed up until Apr. 30, 2021. New diagnoses and health care use were identified from linked administrative health data. Repeated measures were made for the periods 1-30 days, 31-60 days, 61-90 days, 91-180 days, and 180 and more days from the index date. We used multivariable regression analysis to evaluate the association of COVID-19-related hospitalization with the number of physician visits during follow-up.

RESULTS

The study sample included 3397 cases and 6658 controls. Within the first 30 days of follow-up, the case group had 37.12% (95% confidence interval [CI] 35.44% to 38.80%) more patients with physician visits, 11.12% (95% CI 9.77% to 12.46%) more patients with emergency department visits and 2.92% (95% CI 2.08% to 3.76%) more patients with hospital admissions than the control group. New diagnoses involving multiple organ systems were more common in the case group. Regression results indicated that recovering from COVID-19-related hospitalization, admission to an intensive care unit, older age, greater number of comorbidities and more prior health care use were associated with increased physician visits.

INTERPRETATION

Patients recovered from the acute phase of COVID-19 continued to have greater health care use up to 6 months after hospital discharge. Research is required to further explore the effect of post-COVID-19 conditions, pre-existing health conditions and health-seeking behaviours on health care use.

A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population

Risk prediction models are frequently used to identify individuals at risk of developing hypertension. This study evaluates different machine learning algorithms and compares their predictive performance with the conventional Cox proportional hazards (PH) model to predict hypertension incidence using survival data. This study analyzed 18,322 participants on 24 candidate features from the large Alberta's Tomorrow Project (ATP) to develop different prediction models. To select the top features, we applied five feature selection methods, including two filter-based: a univariate Cox p-value and C-index; two embedded-based: random survival forest and least absolute shrinkage and selection operator (Lasso); and one constraint-based: the statistically equivalent signature (SES). Five machine learning algorithms were developed to predict hypertension incidence: penalized regression Ridge, Lasso, Elastic Net (EN), random survival forest (RSF), and gradient boosting (GB), along with the conventional Cox PH model. The predictive performance of the models was assessed using C-index. The performance of machine learning algorithms was observed, similar to the conventional Cox PH model. Average C-indexes were 0.78, 0.78, 0.78, 0.76, 0.76, and 0.77 for Ridge, Lasso, EN, RSF, GB and Cox PH, respectively. Important features associated with each model were also presented. Our study findings demonstrate little predictive performance difference between machine learning algorithms and the conventional Cox PH regression model in predicting hypertension incidence. In a moderate dataset with a reasonable number of features, conventional regression-based models perform similar to machine learning algorithms with good predictive accuracy.

Predicting the Risk Factors Associated With Severe Outcomes Among COVID-19 Patients–Decision Tree Modeling Approach

Background

The COVID-19 pandemic has seen a large surge in case numbers over several waves, and has critically strained the health care system, with a significant number of cases requiring hospitalization and ICU admission. This study used a decision tree modeling approach to identify the most important predictors of severe outcomes among COVID-19 patients.

Methods

We identified a retrospective population-based cohort (n = 140,182) of adults who tested positive for COVID-19 between 5^th March 2020 and 31^st May 2021. Demographic information, symptoms and co-morbidities were extracted from a communicable disease and outbreak management information system and electronic medical records. Decision tree modeling involving conditional inference tree and random forest models were used to analyze and identify the key factors(s) associated with severe outcomes (hospitalization, ICU admission and death) following COVID-19 infection.

Results

In the study cohort, nearly 6.37% were hospitalized, 1.39% were admitted to ICU and 1.57% died due to COVID-19. Older age (>71Y) and breathing difficulties were the top two factors associated with a poor prognosis, predicting about 50% of severe outcomes in both models. Neurological conditions, diabetes, cardiovascular disease, hypertension, and renal disease were the top five pre-existing conditions that altogether predicted 29% of outcomes. 79% of the cases with poor prognosis were predicted based on the combination of variables. Age stratified models revealed that among younger adults (18–40 Y), obesity was among the top risk factors associated with adverse outcomes.

Conclusion

Decision tree modeling has identified key factors associated with a significant proportion of severe outcomes in COVID-19. Knowledge about these variables will aid in identifying high-risk groups and allocating health care resources.

Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis

OBJECTIVE

We aimed to identify existing hypertension risk prediction models developed using traditional regression-based or machine learning approaches and compare their predictive performance.

METHODS

We systematically searched MEDLINE, EMBASE, Web of Science, Scopus, and the grey literature for studies predicting the risk of hypertension among the general adult population. Summary statistics from the individual studies were the C-statistic, and a random-effects meta-analysis was used to obtain pooled estimates. The predictive performance of pooled estimates was compared between traditional regression-based models and machine learning-based models. The potential sources of heterogeneity were assessed using meta-regression, and study quality was assessed using the PROBAST (Prediction model Risk Of Bias ASsessment Tool) checklist.

RESULTS

Of 14,778 articles, 52 articles were selected for systematic review and 32 for meta-analysis. The overall pooled C-statistics was 0.75 [0.73-0.77] for the traditional regression-based models and 0.76 [0.72-0.79] for the machine learning-based models. High heterogeneity in C-statistic was observed. The age (p = 0.011), and sex (p = 0.044) of the participants and the number of risk factors considered in the model (p = 0.001) were identified as a source of heterogeneity in traditional regression-based models.

CONCLUSION

We attempted to provide a comprehensive evaluation of hypertension risk prediction models. Many models with acceptable-to-good predictive performance were identified. Only a few models were externally validated, and the risk of bias and applicability was a concern in many studies. Overall discrimination was similar between models derived from traditional regression analysis and machine learning methods. More external validation and impact studies to implement the hypertension risk prediction model in clinical practice are required.

Parental perception of neonatal retro-transfers from level 3 to level 2 neonatal intensive care units

OBJECTIVE

The primary objective of this study was to determine the overall parental satisfaction with retro-transfers from a level 3 to a level 2 Neonatal Intensive Care Unit (NICU). The secondary objectives were to explore factors that caused parental satisfaction associated with retro-transfer and investigate the factors that could be modified to improve the retro-transfer process.

METHODS

This is a retrospective cross-sectional study. Questionnaires were mailed to all parents of infants transferred from level 3 to level 2 NICUs from 2016 to 2017. Independent samples t-tests, Spearman's rank correlations, and multiple logistic regression analyses were conducted to identify factors associated with parental retro-transfer satisfaction.

RESULTS

Our response rate was 39.1% (n = 140). Of all parents, 64.29% parents were extremely satisfied with the overall retro-transfer process. In our bivariate analyses, multiple factors were found to be strongly associated with parental retro-transfer satisfaction, including parental level of education, the amount of notice and rationale given for the retro-transfer and the level of parental communication and engagement with their infant's healthcare team before and after transfer. Multiple logistic regression analyses revealed that when questions regarding the retro-transfer were answered and the level 2 NICU team demonstrated a concrete understanding of the infant's medical issues and history, parental satisfaction increased.

CONCLUSION

Majority of parents were satisfied with the retro-transfer process. However, close collaboration and ongoing and open lines of communication between parents and the level 3 NICU healthcare teams will increase parental retro-transfer satisfaction rates.

Average Lifespan Shortened due to Stroke in Canada: A Nationwide Descriptive Study From 1990 to 2015

BACKGROUND AND PURPOSE

There are challenges in comparability when using existing life lost measures to examine long-term trends in premature mortality. To address this important issue, we have developed a novel measure termed average lifespan shortened (ALSS). In the present study, we used the ALSS measure to describe temporal changes in premature mortality due to stroke in the Canadian population from 1990 to 2015.

METHODS

Mortality data for stroke were obtained from the World Health Organization mortality database. Years of life lost was calculated using Canadian life tables. ALSS was calculated as the ratio of years of life lost in relation to the expected lifespan.

RESULTS

Over a 25-year timeframe, the age-standardized rates adjusted to the World Standard Population for deaths from all strokes and stroke types substantially decreased in both sexes. The ALSS measure indicated that men who died of stroke lost 12.1% of their lifespan in 1990 and 11.4% in 2015, whereas these values among women were 11.1% and 10.0%, respectively. Patients with subarachnoid hemorrhagic stroke lost the largest portion whereby both sexes lost about one-third of their lifespan in 1990 and one-fourth in 2015. Men with intracerebral hemorrhagic stroke lost around 18% of their lifespan in 1990 and 14% in 2015 as compared to women who lost about 16% and 12% over the same timeframe. The loss of lifespan for patients with ischemic stroke and other stroke types combined was relatively stable at about 10% throughout the study period.

CONCLUSIONS

Our study demonstrated a modest improvement in lifespan among patients with stroke in Canada between 1990 and 2015. Our novel ALSS measure provides intuitive interpretation of temporal changes in lifespan among patients with stroke and helps to enhance our understanding of the burden of strokes in the Canadian population.

Summarising and synthesising regression coefficients through systematic review and meta-analysis for improving hypertension prediction using metamodelling: protocol

INTRODUCTION

Hypertension is one of the most common medical conditions and represents a major risk factor for heart attack, stroke, kidney disease and mortality. The risk of progression to hypertension depends on several factors, and combining these risk factors into a multivariable model for risk stratification would help to identify high-risk individuals who should be targeted for healthy behavioural changes and/or medical treatment to prevent the development of hypertension. The risk prediction models can be further improved in terms of accuracy by using a metamodel updating technique where existing hypertension prediction models can be updated by combining information available in existing models with new data. A systematic review and meta-analysis will be performed of hypertension prediction models in order to identify known risk factors for high blood pressure and to summarise the magnitude of their association with hypertension.

METHODS AND ANALYSIS

MEDLINE, Embase, Web of Science, Scopus and grey literature will be systematically searched for studies predicting the risk of hypertension among the general population. The search will be based on two key concepts: hypertension and risk prediction. The summary statistics from the individual studies will be the regression coefficients of the hypertension risk prediction models, and random-effect meta-analysis will be used to obtain pooled estimates. Heterogeneity and publication bias will be assessed, along with study quality, which will be assessed using the Prediction Model Risk of Bias Assessment Tool checklist.

ETHICS AND DISSEMINATION

Ethics approval is not required for this systematic review and meta-analysis. We plan to disseminate the results of our review through journal publications and presentations at applicable platforms.

Premature Mortality Due to Malignancies of the Central Nervous System in Canada, 1980-2010

BACKGROUND

In this study, we investigated whether there has been an improvement in premature mortality due to central nervous system (CNS) cancers among the Canadian population from 1980 through 2010.

METHODS

Mortality data for CNS cancers were obtained from World Health Organization mortality database. Years of life lost (YLL) was estimated using Canadian life tables. Average lifespan shortened (ALSS) was calculated and defined as the ratio of YLL relative to the expected lifespan.

RESULTS

Over this study period, we observed decreases in age standardized rates to the World Standard Population for mortality due to CNS cancers from 5.3 to 4.1 per 100,000 men, and from 3.6 to 2.9 per 100,000 women. Average YLL decreased from 23.6 to 21.5 years of life among men, and from 27.0 to 23.1 years among women in 1980 and 2010, respectively. The ALSS showed that men with CNS cancers lost 30.1% of their life span and women lost 32.5% in 1980, whereas they lost 25.8 and 26.6% in 2010, respectively.

CONCLUSION

Our study shows that -Canadian people with CNS cancers have had their lives prolonged at the end of the study period.

Safety and efficacy of prophylactic negative pressure wound therapy following open saphenous vein harvest in cardiac surgery: a feasibility study

Objectives

Surgical site complications following great saphenous vein (GSV) harvest presents a significant risk of morbidity. Negative pressure wound therapy (NPWT) has shown promise in the treatment and prophylaxis of open wounds and surgical incisions but has not been studied following GSV harvest. We performed a feasibility study examining the use of NPWT following GSV harvest for coronary bypass surgery.

Methods

Sixty-four patients were recruited in this single-centre, single-blind, randomized controlled trial. The primary endpoint assessed feasibility by examining rates of device complication and malfunction. Secondary endpoints included rates of surgical site infection, lower leg complications, discharge date, and quality of life at discharge and 6 weeks. NPWT was delivered using the Prevena NPWT device.

Results

There were no complications associated with NPWT which required intervention aside from discontinuation. NPWT was tolerated in 91% (30/33) of patients for the duration of treatment with an average of 4.8 days (±1.45 days). Device malfunction which required discontinuation was 6% (2/33) and involved a malfunctioning pressure sensor and did not affect patient care or present safety concerns. One patient had allergic contact dermatitis to the adhesive and had the device removed. NPWT patients had an earlier date of discharge (6 vs 10 days, P = 0.008), increased ability for self-care ( P = 0.0234) and quality of life ( P = 0.039) at initial assessment, and increased mobility at initial and follow-up assessment ( P = 0.0117 and 0.0123).

Conclusions

The use of NPWT following GSV harvest is safe, well tolerated and improves postoperative recovery with prolonged impact on mobility at 6 weeks.

Clinical trial registration

https://clinicaltrials.gov/ct2/show/NCT01698372 ; registration number: NCT01698372.

Adverse Drug Events in Adult Patients Leading to Emergency Department Visits

Background

Adverse drug events (ADEs) occurring in the community and treated in emergency departments (EDs) have not been well studied.

Objective

To determine the prevalence, severity, and preventability of ADEs in patients presenting at EDs in 2 university-affiliated tertiary care hospitals in the Canadian province of Newfoundland and Labrador.

Methods

A retrospective chart review was conducted on a stratified random sample (n = 1458) of adults (≥18 y) who presented to EDs from January 1 to December 31, 2005. Prior to the chart review, the sample frame was developed by first eliminating visits that were clearly not the result of an ADE. The ED summary of each patient was initially reviewed by 2 trained reviewers in order to identify probable ADEs. All eligible charts were subsequently reviewed by a clinical team, consisting of 2 pharmacists and 2 ED physicians, to identify ADEs and determine their severity and preventability.

Results

Of the 1458 patients presenting to the 2 EDs, 55 were determined to have an ADE or a possible ADE (PADE). After a sample-weight adjustment, the prevalence of ADEs/PADEs was found to be 2.4%. Prevalence increased with age (0.7%, 18–44 y; 1.9%, 45–64 y; 7.8%, ≥65 y) and the mean age for patients with ADEs was higher than for those with no ADEs (69.9 vs 63.8 y; p < 0.01). A higher number of comorbidities and medications was associated with drug-related visits. Approximately 29% of the ADEs/PADEs identified were considered to be preventable, with 42% requiring hospitalization. Cardiovascular agents (37.4%) were the most common drug class associated with ADEs/PADEs.

Conclusions

Adult ADE-related ED visits are frequent in Newfoundland and Labrador, and in many cases are preventable. Further efforts are needed to reduce the occurrence of preventable ADEs leading to ED visits.

Hospital safety among neurologic patients

Objective:

To examine the frequency and type of adverse events (AEs) experienced by neurologic patients in hospital.

Methods:

This population-based, retrospective cohort study used hospital discharge abstract data for children and adults admitted to hospital from 2009 to 2015 with 1 of 9 neurologic conditions (Alzheimer disease and related dementia, brain tumor, epilepsy, motor neuron disease, multiple sclerosis, parkinsonism/Parkinson disease, spinal cord injury, traumatic brain injury, and stroke). Neurologic conditions were identified with ICD-10-CA codes. Eighteen AEs were examined with ICD-10-CA codes. The proportion of AEs was calculated, and regression analysis was used to examine factors and outcomes associated with AEs (age, sex, comorbidity, length of stay, and mortality).

Results:

The overall proportion of admissions associated with an AE among those with a neurologic condition was 11 per 100 admissions. Those with a spinal cord injury had the highest proportion of AEs (39.4 per 100 admissions). The most common AEs were infections and respiratory complications (32.0% and 16.7%, respectively). Age and the presence of comorbidities were associated with higher odds of an AE, while readmission was associated with lower odds of an AE. Having an AE was associated with increased length of stay and higher odds of mortality.

Conclusions:

This study demonstrates that neurologic patients have a high proportion of AEs in hospital. The findings provide information on the quality and safety of care for people with neurologic conditions in hospital, which can help inform future quality improvement initiatives.

Cause of Death Following Surgery for Acute Type A Dissection: Evidence from the Canadian Thoracic Aortic Collaborative

BACKGROUND

Surgery confers the best chance of survival following acute Type A dissection (ATAD), yet perioperative mortality remains high. Although perioperative risk factors for mortality have been described, information on the actual causes of death is sparse. In this study, we aimed to characterize the inciting events causing death during surgical repair of ATAD.

METHODS

Nine centers participated in the study. We included all patients who died following surgical repair for ATAD between January 2007 and December 2013. An aortic surgeon at each site determined the primary cause of death from seven predetermined categories: cardiac, stroke, hemorrhage, other organ ischemia (peripheral, renal, or visceral), multiorgan failure, sepsis, or other causes. Additional characteristics and variables were analyzed to delineate potential modifiable factors for mortality.

RESULTS

Of the 692 surgeries for ATAD, there were 123 deaths (17.8% mortality rate). Mean age at death was 66 years. Events contributing to death were: cardiac (25%), stroke (22%), hemorrhage (21%), multiorgan failure (12%), other organ ischemia (11%), sepsis (4%), and other causes (5%). Neurologic injury at presentation was a predictor of stroke as the inciting cause of death (p = 0.04). Peripheral, renal, or visceral ischemia at presentation was highly predictive of death due to these presenting ischemic conditions (p = 0.004). We found no associations between cardiogenic shock, tamponade, or cardiopulmonary bypass duration and cardiac death.

CONCLUSION

Operative mortality for ATAD remains high in Canada. Nearly 70% of deaths arise from cardiac failure, stroke, or hemorrhage. Therefore, novel surgical, hybrid, and endovascular strategies should target these three areas.

Factors associated with mode of colorectal cancer detection and time to diagnosis: a population level study

Background

Although it is well-known that early detection of colorectal cancer (CRC) is important for optimal patient survival, the relationship of patient and health system factors with delayed diagnosis are unclear. The purpose of this study was to identify the demographic, clinical and healthcare factors related to mode of CRC detection and length of the diagnostic interval.

Methods

All residents of Alberta, Canada diagnosed with first-ever incident CRC in years 2004–2010 were identified from the Alberta Cancer Registry. Population-based administrative health datasets, including hospital discharge abstract, ambulatory care classification system and physician billing data, were used to identify healthcare services related to CRC diagnosis. The time to diagnosis was defined as the time from the first CRC-related healthcare visit to the date of CRC diagnosis. Mode of CRC detection was classified into three groups: urgent, screen-detected and symptomatic. Quantile regression was performed to assess factors associated with time to diagnosis.

Results

9626 patients were included in the study; 25% of patients presented as urgent, 32% were screen-detected and 43% were symptomatic. The median time to diagnosis for urgent, screen-detected and symptomatic patients were 6 days (interquartile range (IQR) 2–14 days), 74 days (IQR 36–183 days), 84 days (IQR 39–223 days), respectively. Time to diagnosis was greater than 6 months for 27% of non-urgent patients. Healthcare factors had the largest impact on time to diagnosis: 3 or more visits to a GP increased the median by 140 days whereas 2 or more visits to a GI-specialist increased it by 108 days compared to 0–1 visits to a GP or GI-specialist, respectively.

Conclusion

A large proportion of CRC patients required urgent work-up or had to wait more than 6 months for diagnosis. Actions are needed to reduce the frequency of urgent presentation as well as improve the timeliness of diagnosis. Findings suggest a need to improve coordination of care across multiple providers.

Estimating the completeness of physician billing claims for diabetes case ascertainment using population-based prescription drug data

INTRODUCTION

Changes in physician reimbursement policies may hinder the collection of billing claims in administrative data; this can result in biased estimates of disease prevalence and incidence. However, the magnitude of data loss is largely unknown. The purpose of this study was to estimate completeness of capture of disease cases for Manitoba physicians paid by fee-for-service (FFS) and non-fee-for-service (NFFS) methods.

METHODS

Manitoba's administrative data were used to identify a cohort (≥ 20 years) with a new diabetes medication between 1 April, 2007, and 31 March, 2009. Cohort members were classified by payment method of the prescribing physician (i.e. FFS vs. NFFS). The cohort was then classified as missing or not missing a diabetes diagnosis using physician claims and hospital records. Then, χ2 statistics were used to test for differences in the characteristics of the two groups.

RESULTS

The cohort consisted of 12 394 individuals; 86.4% had a prescription for a diabetes medication from an FFS physician. A total of 1172 physicians (81.8% FFS) prescribed these medications for the cohort. Cohort members with a prescription from an FFS physician were older and more likely to reside in the urban Winnipeg health region than those with a prescription from a NFFS physician. A greater percentage of NFFS physicians' cases were missing a diabetes diagnosis (18.7%vs. 14.9% for FFS physicians).

CONCLUSION

The results suggest minimal loss of physician claims associated with remuneration policies in Manitoba. This method of assessing data completeness could be applied to other chronic diseases and jurisdictions to estimate completeness.

Diabetes and sex-specific colorectal cancer risks in Newfoundland and Labrador: a population-based retrospective cohort study

OBJECTIVE

Studies on the relationship between diabetes and colorectal cancer (CRC) are inconsistent. It is also unclear whether CRC risk elevation for individuals with diabetes is similar for males and females. Using data from Newfoundland and Labrador (NL), the province with the highest CRC incidence and diabetes prevalence in Canada, we assessed and compared the risk elevation of CRC for males and females with diabetes, overall and by anatomic subsite.

METHODS

A population-based retrospective cohort study including a study sample of 122,228 individuals aged ≥30 years was conducted using administrative health databases over a 10.5-year period (October 1, 1996 to March 31, 2007). Hazard ratios were estimated using Cox proportional hazard models.

RESULTS

In comparison with non-diabetes counterparts, both males and females with diabetes were at a significantly elevated risk of overall CRC, with corresponding hazard ratios of 1.38 and 1.52, respectively. For males, diabetes significantly increased the risk of proximal and distal colon cancers, but not of rectal cancer. For females, diabetes significantly increased the risk of proximal colon and rectal cancers, but not of distal colon cancer. The results suggest that there is a stronger association between diabetes and CRC for females than for males, and the association did not change after adjusting for overweight/obesity.

CONCLUSIONS

Diabetes led to a greater risk of CRC in both the male and female population in NL. Risk was subsite-specific and varied by sex. Future research should examine reasons for the observed diabetes-associated CRC risk to support CRC prevention strategies among the diabetes population.

Adverse Drug Reactions in Elderly Hospitalized Patients: A 12-Year Population-Based Retrospective Cohort Study

BACKGROUND:

Although research has identified some risk factors for first-time adverse drug reactions (ADRs), little is known about the risks associated with the number of ADRs. Modeling ADR counts is relatively complex because of the rarity of the events, requiring careful consideration of appropriate models that best present the observed data.

OBJECTIVE:

To determine the incidence of ADRs among elderly hospitalized patients, assess patient-related risk factors for the number of ADRs, and review drug classes commonly responsible for ADRs.

METHODS:

This retrospective cohort study used a population-based large administrative database on hospital separations from all acute care hospitals in the Canadian province of Newfoundland and Labrador. Patients aged 65 years or older with at least 1 hospital admission from April 1, 1995, to March 31, 2007, were included. Comorbidities, Charlson Comorbidity Index (CCI), and sociodemographic factors were assessed as predictors of ADR counts. A zero-inflated negative binomial regression model was used for analysis.

RESULTS:

The study cohort contained 64,446 patients. The incidence of ADRs was 15.2 per 1000 person-years (95% CI 14.8 to 15.7). Of those having an ADR, 15.4% had recurrent ADRs. The most common drug category implicated in ADRs was cardiovascular agents (17.7%). A dose-response relationship was found between CCI and ADR counts (rate ratio [RR] 1.67, 95% CI 1.41 to 1.98 for CCI 2-3; RR 2.38, 95% CI 1.98 to 2.87 for CCI 4-5; and RR 3.83, 95% CI 3.21-4.57 for CCI ≥6). Comorbid conditions including congestive heart failure (RR 1.58, 95% CI 1.33 to 1.89), diabetes (RR 2.42, 95% CI 1.64 to 3.56), and cancer (RR 3.12, 95% CI 2.58 to 3.76) were strong predictors. Rural areas (RR 1.22, 95% CI 1.01 to 1.46) were associated with increased risk for ADRs, whereas age and sex had no effect.

CONCLUSIONS:

Comorbidity from chronic diseases and severity of illness, rather than individual characteristics (advancing age and sex), increased the likelihood of ADRs. Changes in the delivery of care focusing on the monitoring of prescribed drugs in elderly patients with comorbidities could mitigate ADRs.

Epidemiology of severe burn among children in Newfoundland and Labrador, Canada

PURPOSE

The objective of this study was to identify the epidemiologic characteristics of childhood burns in the province of Newfoundland and Labrador.

METHODS

A population-based study was carried out on children aged 0-16 years who were hospitalized due to burns in Newfoundland and Labrador between April 1995 and March 2001. Hospital and mortality data were obtained from the provincial hospital admission database and Mortality System, respectively. The Newfoundland and Labrador population was considered as a whole and as two separate geographic areas.

RESULTS

A total of 157 hospital admissions due to burns were identified during the study period. The rate of burns requiring hospitalization in the province was 22.3 per 100,000 person-years (P-Y). The rates for males and females was 27.7 and 16.6 per 100,000 P-Y, respectively (P=0.006). Infants (0-1 year) had the highest rate of burn (88.8 per 100,000 P-Y) followed by children aged 2-4 years (26.0 per 100,000 P-Y) (P<0.0001). Labrador, a region with high Aboriginal population (51.4 per 100,000 P-Y), had a higher rate of burn compared to Newfoundland (20.3 per 100,000 P-Y) (P<0.0001). Median age of patients with burns was 2 years for the island portion of the province and 9 years in Labrador (P<0.01). Overall, scald burn (52.2%) was the most frequent type of burn followed by flame (32.5%). In the island portion of the province, scald burn was the most common type of burn (56.4%), while in Labrador flame was the most frequent type (66.7%). Overall mortality rate due to burns was 0.9 per 100,000 P-Y.

CONCLUSION

Age (infants) and sex (male) are factors associated with burn in Newfoundland and Labrador. Study results indicate a difference in the epidemiologic pattern of burn between the island portion of the province, Newfoundland, and mainland Labrador. It is recommended that preventive programs be directed towards high risk groups to reduce the incidence of burns.

Systematized nomenclature of medicine clinical terms (SNOMED CT) to represent computed tomography procedures

OBJECTIVE

To evaluate the ability of systematized nomenclature of medicine clinical terms (SNOMED CT) to represent computed tomography procedures in computed tomography dictionaries used in the Canadian province of Newfoundland and Labrador.

METHODS

This study was conducted in two stages. In the first stage computed tomography dictionaries were collected and consolidated to one master list. The duplicated procedure names were deleted from the list. In the second stage the unique data items from the master list were matched with the SNOMED CT concepts. Sensitivity, specificity, and positive and negative predictive values of SNOMED CT were investigated.

RESULTS

After eliminating 680 duplicate procedures from the total of 833, the study sample consisted of 153 data items. For pre-coordination, SNOMED CT had sensitivity of 56% and for post-coordination SNOMED CT had sensitivity of 98%.

CONCLUSION

Our results suggest that SNOMED CT is a valid nomenclature for representing computed tomography procedures.

Unintentional injuries among children and adolescents in Aboriginal and non-Aboriginal communities, Newfoundland and Labrador, Canada

OBJECTIVES

To compare epidemiologic characteristics of unintentional injuries among children and adolescents in Aboriginal and non-Aboriginal communities in the Province of Newfoundland and Labrador (NL), Canada.

STUDY DESIGN

A comparative population-based study of unintentional injuries among individuals 0-19 years was conducted among Aboriginal and non-Aboriginal communities in NL.

METHODS

The provincial hospital discharge and mortality data were analyzed for a 6-year period, April 1995 to March 2001. Rates and rate ratios related to hospital discharge and mortality due to unintentional injuries were calculated to assess variation of rates. The 2-independent sample binomial proportion test was used to compare rates between Aboriginal and non-Aboriginal communities.

RESULTS

The overall hospital discharge rates of unintentional injury in Aboriginal and non-Aboriginal communities were 1,132.0 and 614.2 per 100,000 population, respectively (p(2)<0.001). For both Aboriginal and non-Aboriginal communities, the rate among males was higher than that of females (p(2)<0.001). The mortality rate was found to be higher in Aboriginal communities than non-Aboriginal communities (84.3 vs. 10.2 per 100,000 population) (p(2)<0.001).

CONCLUSIONS

The rate of unintentional injury among children and adolescents in Aboriginal communities is higher than non-Aboriginal communities. Sex (male) and place of residence (Aboriginal communities) were strong predictors of unintentional injury in NL.