Dashboard With Bump Charts to Visualize the Changes in the Rankings of Leading Causes of Death According to Two Lists: National Population-Based Time-Series Cross-Sectional Study

BACKGROUND

Health advocates and the media often use the rankings of the leading causes of death (CODs) to draw attention to health issues with relatively high mortality burdens in a population. The National Center for Health Statistics (NCHS) publishes "Deaths: leading causes" annually. The ranking list used by the NCHS and statistical offices in several countries includes broad categories such as cancer, heart disease, and accidents. However, the list used by the World Health Organization (WHO) subdivides broad categories (17 for cancer, 8 for heart disease, and 6 for accidents) and classifies Alzheimer disease and related dementias and hypertensive diseases more comprehensively compared to the NCHS list. Regarding the data visualization of the rankings of leading CODs, the bar chart is the most commonly used graph; nevertheless, bar charts may not effectively reveal the changes in the rankings over time.

OBJECTIVE

The aim of this study is to use a dashboard with bump charts to visualize the changes in the rankings of the leading CODs in the United States by sex and age from 1999 to 2021, according to 2 lists (NCHS vs WHO).

METHODS

Data on the number of deaths in each category from each list for each year were obtained from the Wide-ranging Online Data for Epidemiologic Research system, maintained by the Center for Disease Control and Prevention. Rankings were based on the absolute number of deaths. The dashboard enables users to filter by list (NCHS or WHO) and demographic characteristics (sex and age) and highlight a particular COD.

RESULTS

Several CODs that were only on the WHO list, including brain, breast, colon, hematopoietic, lung, pancreas, prostate, and uterus cancer (all classified as cancer on the NCHS list); unintentional transport injury; poisoning; drowning; and falls (all classified as accidents on the NCHS list), were among the 10 leading CODs in several sex and age subgroups. In contrast, several CODs that appeared among the 10 leading CODs according to the NCHS list, such as pneumonia, kidney disease, cirrhosis, and sepsis, were excluded from the 10 leading CODs if the WHO list was used. The rank of Alzheimer disease and related dementias and hypertensive diseases according to the WHO list was higher than their ranks according to the NCHS list. A marked increase in the ranking of unintentional poisoning among men aged 45-64 years was noted from 2008 to 2021.

CONCLUSIONS

A dashboard with bump charts can be used to improve the visualization of the changes in the rankings of leading CODs according to the WHO and NCHS lists as well as demographic characteristics; the visualization can help users make informed decisions regarding the most appropriate ranking list for their needs.

Refracture risk and all-cause mortality after vertebral fragility fractures: Anti-osteoporotic medications matter

BACKGROUND

Osteoporotic vertebral fractures may predict the future occurrence of fractures and increase mortality. Treating underlying osteoporosis may prevent second fractures. However, whether anti-osteoporotic treatment can reduce the mortality rate is not clear. The aim of this population study was to identify the degree of decreased mortality following the use of anti-osteoporotic medication after vertebral fractures.

METHODS

We identified patients who had newly diagnosed osteoporosis and vertebral fractures from 2009 to 2019 using the Taiwan National Health Insurance Research Database (NHIRD). We used national death registration data to determine the overall mortality rate.

RESULTS

There were 59,926 patients with osteoporotic vertebral fractures included in this study. After excluding patients with short-term mortality, patients who had previously received anti-osteoporotic medications had a lower refracture rate as well as a lower mortality risk (hazard ratio (HR): 0.84, 95% confidence interval (CI): 0.81-0.88). Patients receiving treatment for more than 3 years had a much lower mortality risk (HR: 0.53, 95% CI: 0.50-0.57). Patients who used oral bisphosphonates (alendronate and risedronate, HR: 0.95, 95% CI: 0.90-1.00), intravenous zoledronic acid (HR: 0.83, 95% CI: 0.74-0.93), and subcutaneous denosumab injections (HR: 0.71, 95% CI: 0.65-0.77) had lower mortality rates than patients without further treatment after vertebral fractures.

CONCLUSION

In addition to fracture prevention, anti-osteoporotic treatments for patients with vertebral fractures were associated with a reduction in mortality. A longer duration of treatment and the use of long-acting drugs was also associated with lower mortality.

Ranking of Alzheimer's disease and related dementia among the leading causes of death in the US varies depending on NCHS or WHO definitions

INTRODUCTION

We compared the ranking of Alzheimer's disease and related dementia (ADRD) among the leading causes of death (LCODs) between those according to the National Center for Health Statistics (NCHS) and the World Health Organization (WHO) lists by sex.

METHOD

The number of deaths in each LCOD category was obtained from CDC WONDER.

RESULTS

According to the WHO list, ADRD was the second LCOD from 2005 to 2013, the first from 2014 to 2020, and the third in 2021, respectively, for women and was the second in 2018 and 2019, the third in 2020, and the fourth in 2021, respectively, for men. According to the NCHS list, Alzheimer's disease was the fourth in 2019 and 2020 for women and was the seventh from 2016 to 2019 for men.

DISCUSSION

The ranking of ADRD among the LCODs according to the WHO list was higher than those according to the NCHS list.

Changes in the rankings of leading causes of death in Japan, Korea, and Taiwan from 1998 to 2018: a comparison of three ranking lists

BACKGROUND

The ranking lists used by most countries for leading causes of death (CODs) comprise broad category such as cancer, heart disease, and accidents. To provide more specific information, the World Health Organization (WHO) and the Institute of Health Metrics and Evaluation (IHME) proposed lists that splitting broad categories into specific categories. We examined the changes in rankings of leading CODs according to different lists in Japan, Korea, and Taiwan from 1998 to 2018.

METHODS

We obtained the number of deaths for three countries from the WHO mortality database for 1998, 2008, and 2018. Age-standardized death rates were calculated for rankings 10 leading CODs using WHO 2000 age structure as standard.

RESULTS

The first leading COD was cancer in Japan, Korea, and Taiwan from 1998 to 2018 based on government list; nevertheless, became stroke based on WHO list, and was stroke and ischemic heart disease based on IHME list. In the WHO and IHME lists, cancer is categorized based on cancer site. The number of cancer sites included in the 10 leading CODs in 2018 was 4, 4, and 3 in Japan, Korea, and Taiwan, respectively according to the WHO list and was 4, 4, and 2, respectively according to IHME list. The only difference was the rank of liver cancer in Taiwan, which was 6th according to WHO list and was 18th according to IHME list. The ranking and number of deaths for some CODs differed greatly between the WHO and IHME lists due to the reallocation of "garbage codes" into relevant specific COD in IHME list.

CONCLUSIONS

Through the use of WHO and the IHME lists, the relative importance of several specific and avoidable causes could be revealed in 10 leading CODs, which could not be discerned if the government lists were used. The information is more relevant for health policy decision making.

Impacts of using different standard populations in calculating age-standardised death rates when age-specific death rates in the populations being compared do not have a consistent relationship: a cross-sectional population-based observational study on US state HIV death rates

OBJECTIVE

To examine if the rankings of state HIV age-standardised death rates (SDRs) would be different if different standard populations (SPs) were used when age-specific death rates (ASDRs) in states being compared do not have a consistent relationship.

DESIGN

A cross-sectional population-based observational study.

SETTING

36 states in the USA.

PARTICIPANTS

Residents living in the 36 states.

MAIN OUTCOME MEASURES

HIV SDR by state using two SPs, namely US2000 and US2020.

RESULTS

US HIV ASDR by state did not have consistent relationships. Of 36 states analysed, the HIV death rates of people aged 55-64 years were higher than people aged 45-54 years in 20 states; on the contrary, the HIV death rates of people aged 55-64 years were lower than people aged 45-54 years in 16 states. No change in ranking in 19 states and change in ranking in 17 states. Of the 17 states whose rankings changed, the rankings of 9 states calculated using US2000 were higher (lower SDR) than those calculated using US2020; in 8 states, the rankings were lower (higher SDR). The states with the greatest changes in rankings between US2000 and US2020 were Kentucky (12th and 9th, respectively) and Massachusetts (8th and 11th, respectively).

CONCLUSIONS

Calculating SDR using elder SP (US2020) would disproportionately increase the SDR in states with peak HIV death rate in older adults than those used younger SP (US2000).

Validation of coding algorithms for identifying people with viral hepatitis using claims data according to different standard references

Background

To assess the performance of various coding algorithms for identifying people with hepatitis B virus (HBV) and hepatitis C virus (HCV) using claims data according to different reference standards (RSs) and study periods (SPs).

Methods

A proportional random sampling of 10,000 patients aged ≥ 20 years in a health care system in Southern Taiwan were enrolled as study participants. We used three hierarchical RSs (RS1: having positive results of laboratory tests; R2: having RS1 or having prescriptions of anti-HBV or anti-HCV medications; R3: having R1 or R2 or having textual diagnosis recorded in electrical medical records) with three SPs (4-, 8-, and 12-years) to calculate positive predictive value (PPV) and sensitivity (Sen) of 6 coding algorithms using HBV- and HCV-related International Classification of Disease Tenth Revision Clinical Modification (ICD-10-CM) codes in Taiwan National Health Insurance claims data for years 2016–2019.

Results

Of 10,000 enrolled participants, the number of participants had confirmed HBV and HCV was 146 and 165, respectively according to RS1 with 4-years SP and increased to 729 and 525, respectively according to RS3 with 12-years SP. For both HBV and HCV, the PPV was lowest according to RS1 and highest according to RS3. The longer the SP, the higher the PPV. However, the Sen was highest according to RS2 with 4-years SP. For both HBV and HCV, the coding algorithm with highest PPV and Sen was “ ≥ 3 outpatient codes” and “ ≥ 2 outpatient or ≥ 1 inpatients codes,” respectively.

Conclusions

In conclusion, using different RSs with different SPs would result in different estimation of PPV and Sen. To achieve the best yield of both PPV and Sen, the optimal coding algorithm is “ ≥ 2 outpatients or ≥ 1 inpatients codes” for identifying people with HBV or HCV.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-022-07212-w.

Changes in liver-related mortality by etiology and sequelae: underlying versus multiple causes of death

Background

The expanded definition of liver-related deaths includes a wide range of etiologies and sequelae. We compared the changes in liver-related mortality by etiology and sequelae for different age groups between 2008 and 2018 in the USA using both underlying and multiple cause of death (UCOD and MCOD) data.

Methods

We extracted mortality data from the CDC WONDER. Both the absolute (rate difference) and relative (rate ratio and 95% confidence intervals) changes were calculated to quantify the magnitude of change using the expanded definition of liver-related mortality.

Result

Using the expanded definition including secondary liver cancer and according to UCOD data, we identified 68,037 liver-related deaths among people aged 20 years and above in 2008 (29 per 100,000) and this increased to 90,635 in 2018 (33 per 100,000), a 13% increase from 2008 to 2018. However, according to MCOD data, the number of deaths was 113,219 (48 per 100,000) in 2008 and increased to 161,312 (58 per 100,000) in 2018, indicating a 20% increase. The increase according to MCOD was mainly due to increase in alcoholic liver disease and secondary liver cancer (liver metastasis) for each age group and hepatitis C virus (HCV) and primary liver cancer among decedents aged 65–74 years.

Conclusion

The direction of mortality change (increasing or decreasing) was similar in UCOD and MCOD data in most etiologies and sequelae, except secondary liver cancer. However, the extent of change differed between UCOD and MCOD data.

Existing Data Sources in Clinical Epidemiology: The Taiwan National Health Insurance Laboratory Databases

This paper provides an introduction to laboratory databases established by Taiwan National Health Insurance Administration (NHIA) since 2015 and released for research since June 2017. The National Health Insurance (NHI) is a government-run single-payer program introduced in 1995 that now covers more than 99% of 23 million Taiwanese citizens. To prevent duplication of medication prescriptions and laboratory test and examination prescriptions, contracted health care providers are required to upload the results of laboratory tests and reports of examinations to the NHIA. The cumulative number of laboratory test results was 5.64 billion from January 2015 to the end of August 2020 for 602 types of test. There are 35 variables for each laboratory test result stored in the databases that can be used for research. However, different hospitals might use different format in reporting the results. The researchers therefore have to develop algorithms to include and exclude incompatible records and to determine whether the results are positive or negative (normal or abnormal). The NHIA suggests that researchers release their source codes of algorithms so that other researchers can modify the codes to improve inter-study comparability. Through the unique personal identification number, the laboratory data can be linked to NHI inpatient and outpatient claims data for further value-added analyses. Non-Taiwanese researchers can collaborate with Taiwan researchers to access the NHI laboratory databases.

Hepatitis C virus infection mortality trends according to three definitions with special concern for the baby boomer birth cohort

We examined mortality trends of hepatitis C virus (HCV) infection in the United States in 1999-2018 according to the following definitions: HCV as the underlying cause of death (UCOD), HCV mentioned anywhere on the death certificate (mentioned), and HCV recorded in Part 1 of the death certificate. By using entity axis information in mortality multiple-cause files, we ascertained the position of HCV on the death certificate. Joinpoint regression analysis was used to evaluate changes in HCV mortality rates according to the definitions. The age-standardized HCV mortality rates (deaths per 100,000 people) in terms of UCOD, mentioned, and Part 1 were, respectively, 1.36, 2.87 and 1.94, in 1999; increased to 1.90, 5.09 and 2.96 in 2013; and declined to 0.98, 3.77 and 2.29 in 2018. The mentioned/UCOD mortality ratio was 2.11 in 1999 and increased to 3.86 in 2018. The mentioned/Part 1 ratio was almost identical (ie 1.48 in 1999 and 1.65 in 2018). The extent of decline from 2014 to 2018 differed according to the definitions; the annual per cent changes for UCOD, mentioned, and Part 1 were -14.6%, -7.1% and -9.8%, respectively. For the same age group, the baby boomer subcohort 1950-1954 had the highest mortality rates among the subcohorts (1945-1949, 1955-1959 and 1960-1964). HCV mortality according to HCV in Part 1 of the death certificate-the explicit opinion of a certifying physician that HCV played a substantial role and directly caused death-differed from that according to HCV as UCOD and HCV mentioned.

Validity of ICD-10-CM Codes Used to Identify Patients with Chronic Hepatitis B and C Virus Infection in Administrative Claims Data from the Taiwan National Health Insurance Outpatient Claims Dataset

PURPOSE

To validate the use of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes to identify patients with chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infection in the Taiwan National Health Insurance (NHI) Outpatient Claims Dataset.

METHODS

We conducted a retrospective study using results of HBV surface antigen (HBsAg), HBV e antigen (HBeAg), and anti-HCV antibody tests in the NHI Lab & Exam Dataset from January 1 to March 31, 2018, as the reference standard to confirm HBV and HCV infection cases. We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) to assess the performance of HBV infection-specific ICD-10-CM codes (B180, B181, and B191) and HCV infection-specific ICD-10-CM codes (B182 and B192) recorded in the NHI Outpatient Claims Dataset to identify patients with HBV or HCV infection.

RESULTS

In total, 196,635 and 120,628 patients had analyzable results for HBsAg/HBeAg tests and anti-HCV tests, respectively. Moreover, 44,574 and 14,443 were confirmed to have HBV and HCV infection, respectively. The sensitivity, specificity, PPV, and NPV were, respectively, 46%, 83%, 45%, and 84% for HBV infection-specific ICD-10-CM codes and 47%, 99%, 81%, and 93% for HCV infection-specific ICD-10-CM codes. The sensitivity demonstrated great variation by region, clinical setting, and physician specialty.

CONCLUSION

The HBV and HCV infection-specific ICD-10-CM codes recorded by physicians in Taiwan NHI outpatient claims data in 2018 had moderate sensitivity and high specificity for both HBV and HCV infection. The PPV was high for HCV ICD-10-CM codes, yet moderate for HBV ICD-10-CM codes.

Physician code creep after the initiation of outpatient volume control program and implications for appropriate ICD-10-CM coding

BACKGROUND

Most studies on the physician code creep (i.e., changes in case mix record-keeping practices to improve reimbursement) have focused on episodes (inpatient hospitalizations or outpatient procedures). Little is known regarding changes in diagnostic coding practices for better reimbursement among a fixed cohort of patients with chronic diseases.

METHODS

To examine whether physicians in tertiary medical centers changed their coding practices after the initiation of the Outpatient Volume Control Program (OVCP) in Taiwan, we conducted a retrospective observational study of four patient cohorts (two interventions and two controls) from January 2016 to September 2017 in Taiwan. The main outcomes were the number of outpatient visits with four coding practices: 1) OVCP monitoring code recorded as primary diagnosis; 2) OVCP monitoring code recorded as secondary diagnosis; 3) non-OVCP monitoring code recorded as primary diagnosis; 4) non-OVCP monitoring code recorded as secondary diagnosis.

RESULTS

The percentage change of the number of visits with coding practice 1 between 2016Q1 and 2017Q3 was - 74% for patients with hypertension and - 73% with diabetes in tertiary medical centers and - 23% and - 17% in clinics, respectively. By contrast, the percentage changes of coding practice 3 were + 73% for patients with hypertension and + 46% for patients with diabetes in tertiary medical centers and - 19% and - 2% in clinics, respectively.

CONCLUSIONS

Physician code creep occurred after the initiation of the OVCP. Education regarding appropriate outpatient coding for physicians will be relatively effective when proper coding is related to reimbursement.

Health care utilization pattern prior to maltreatment among children under five years of age in Taiwan

BACKGROUND

Several studies have hypothesized that the pattern of health care utilization among maltreated children differ from others without the experience. However, the conclusions have not been consistent.

OBJECTIVE

The study aims to examine whether the pattern of health care utilization among children 0-5 years old with maltreatment different from their counterparts without maltreatment in Taiwan.

SUBJECTS AND SETTING

All children born in 2007 in Taiwan.

METHOD

This is a population-based and case-controlled study. Cases are children under five years of ago with maltreatment-related diagnosis in the claims data of the National Health Insurance in Taiwan during the 2007-2013 period. For each case, there were 10 birth date-matched controls. Exposure variables include the number of injury or non-injury-related outpatients, emergency department (ED) visits, and hospitalization. Multivariate models were employed, with adjustment for sex, urbanization level, and comorbidities of children.

RESULTS

Of children born in 2007, 382 had maltreatment-related diagnosis during the age of 0-5. The adjusted odds ratio (aOR) for having two or more ED visits with or without injury-related diagnosis is 3.52 (95% CI 1.75-7.07) and 2.0-0 (95% CI 1.47-2.72), respectively. Children with maltreatment also had significantly higher number of hospitalization without injury-related diagnosis and aOR for those having two more hospitalizations stands at 2.47 (95% CI 1.59-3.83).

CONCLUSIONS

Children with maltreatment when 0-5 years old had higher number of ED visits with injury-related diagnosis, as well as hospitalization without injury-related diagnosis. Recognition of the health care utilization is conducive to early identification of children with risk for maltreatment.

Changes in the number and causes of maternal deaths after the introduction of pregnancy checkbox on the death certificate in Taiwan

OBJECTIVE

To examine changes in the number and causes of maternal deaths after the introduction of pregnancy checkbox on the death certificate in January 2014 in Taiwan.

MATERIALS AND METHODS

We first used the cause-of-death (COD) mortality data for years 2010 through 2017 to examine the number of deaths by item of pregnancy checkbox. We then compared the distribution of the causes of maternal deaths before and after the introduction of pregnancy checkbox.

RESULTS

Between 2014 and 2017, 111 women died, for whom the certifiers indicated the following in the pregnancy checkbox items: 2 (pregnant at the time of death; n = 10), 3 (died within 42 days after the termination of pregnancy; n = 64), and 4 (died between 43 days and 1 year after the termination of pregnancy; n = 37). However, in only 61 of the 111 deaths, the certifiers reported pregnancy or delivery-related diagnosis in the COD section of the death certificate-5 each for items 2 and 4 and 51 for item 3. The number of maternal deaths was 55 in 2010-2013; this number increased to 82 in 2014-2017. A decline in the percentage of maternal deaths from obstetric hemorrhage was noted from 38% (21/55) in 2010-2013 to 21% (17/82) in 2014-2017.

CONCLUSION

The number of maternal deaths increased, and the distribution of causes of maternal deaths changed after the introduction of pregnancy checkbox. Additional studies are required to examine the possible misclassification of pregnancy-associated deaths indicated in the pregnancy checkbox.

Opioid agonist treatment reduces losses in quality of life and quality-adjusted life expectancy in heroin users: Evidence from real world data

BACKGROUND

This study estimated the long-term changes of opioid agonist treatment (OAT) in quality of life (QOL) and quantified the quality-adjusted life years (QALY) from the loss of quality-adjusted life expectancy (QALE) in heroin users.

METHODS

A total of 1283 heroin users stratified by OAT were linked to the National Mortality Registry for 8 years (2006-2014) to obtain survival functions, which were extrapolated to lifetime by applying a rolling extrapolation algorithm to survival ratio between the sub-cohorts and age- and sex-matched referents simulated from vital statistics of Taiwan. We performed cross-sectional measurement of EQ-5D on 349 participants, including those with a valid state of OAT or non-OAT plus newly recruited consecutive patients, during 2015-2017 for utility values, while the QOL of referents were abstracted from the 2009 National Health Interview Survey. The QALE was calculated by summing the products of the mean QOL and survival rate throughout life. The QALE difference between the cohort and corresponding referents was the loss-of-QALE.

RESULTS

QOL of the OAT group was significantly better than that of the non-OAT group in every domain of the EQ-5D, which was quantified to be 0.23 for utility after controlling for other variables. After extrapolation to 70 years, the estimated QALE and loss-of-QALE were 17.8 and 18.2 QALY for OAT subjects, respectively, while those of the non-OAT group were 9.2 and 27.9 QALY.

CONCLUSIONS

Receiving OAT could reduce QALE lost by 9.7 QALYs compared with non-OAT after accounting for QOL differences along time and different age and sex distributions.

Drowning mortality by intent: a population-based cross-sectional study of 32 OECD countries, 2012-2014

OBJECTIVE

To compare the drowning mortality rates and proportion of deaths of each intent among all drowning deaths in Organisation for Economic Co-operation and Development (OECD) countries in 2012-2014.

DESIGN

A population-based cross-sectional study.

SETTING

32 OECD countries.

PARTICIPANTS

Individuals in OECD countries who died from drowning.

MAIN OUTCOME MEASURES

Drowning mortality rates (deaths per 100 000 population) and proportion (%) of deaths of each intent (ie, unintentional intent, intentional self-harm, assault, undetermined intent and all intents combined) among all drowning deaths.

RESULTS

Countries with the highest drowning mortality rates (deaths per 100 000 population) were Estonia (3.53), Japan (3.49) and Greece (2.40) for unintentional intent; Ireland (0.96), Belgium (0.96) and Korea (0.89) for intentional self-harm; Austria (0.57), Korea (0.56) and Hungary (0.44) for undetermined intent and Japan (4.35), Estonia (3.70) and Korea (2.73) for all intents combined. Korea ranked 12th and 3rd for unintentional intent and all intents combined, respectively. By contrast, Belgium ranked 2nd and 15th for intentional self-harm and all intents combined, respectively. The proportion of deaths of each intent among all drowning deaths in each country varied greatly: from 26.2% in Belgium to 96.8% in Chile for unintentional intent; 0.7% in Mexico to 57.4% in Belgium for intentional self-harm; 0.0% in nine countries to 4.9% in Mexico for assault and 0.0% in Israel and Turkey to 38.3% in Austria for undetermined intent.

CONCLUSIONS

A large variation in the practice of classifying undetermined intent in drowning deaths across countries was noted and this variation hinders valid international comparisons of intent-specific (unintentional and intentional self-harm) drowning mortality rates.

Leading causes of death among decedents with mention of schizophrenia on the death certificates in the United States

BACKGROUND

Little is known about the changes in the ranking of leading cause of death (COD) among people died with schizophrenia across years in the United States (U.S.). This study aims to determine the ranking of leading COD among U.S. decedents with mention of schizophrenia by age from 2000 to 2015.

METHODS

The mortality multiple COD files maintained by the National Center for Health Statistics were used to identify decedents aged 15 years old and above with mention of schizophrenia anywhere on the death certificates to determine the number and proportion of deaths attributed to various underlying CODs.

RESULTS

Of 13,289, 13,655, 14,135, and 15,033 people who died in 2000-2003, 2004-2007, 2008-2011and 2012-2015 with mention of schizophrenia, similar to all decedents, heart disease and cancer was the first and the second leading COD throughout the study years. Schizophrenia ranked the third in most years except in 2004-2007. The first leading COD for decedents with mention of schizophrenia aged 15-24, 25-44, 45-64, 65-74, and 75+ years old in 2012-2015 was suicide, accidents, heart disease, heart disease, and Alzheimer's disease and related dementia, respectively. Nevertheless, it was accidents, accidents, cancer, cancer, and heart disease, respectively for all decedents.

CONCLUSION

The ranking of leading CODs among U.S. decedents with mention of schizophrenia changed across years and differed from all decedents by age, which suggest that different interventions should be designed accordingly.

Trends in birth weight-specific and -adjusted infant mortality rates in Taiwan between 2004 and 2011

BACKGROUND

A yearly increase in the proportion of very low birth weight (VLBW) live births has resulted in the slowdown of decreasing trends in crude infant mortality rates (IMRs). In this study, we examined the trends in birth weight-specific as well as birth weight-adjusted IMRs in Taiwan.

METHODS

We linked three nationwide datasets, namely the National Birth Reporting Database, National Birth Certification Registry, and National Death Certification Registry databases, to calculate the IMRs according to the birth weight category. Trend tests and mortality rate ratios in the periods 2010-2011 and 2004-2005 were used to examine the extent of reduction in birth weight-specific and birth weight-adjusted IMRs.

RESULTS

The proportion of VLBW (<1500 g) infants among live births increased from 0.78% in 2004-2005 to 0.89% in 2010-2011, thus exhibiting a 15% increase. The extents of the decreases in birth weight-specific IMRs in the 500-999, 1000-1499, 1500-1999, 2000-2499, and 2500-2999 g birth weight categories were 15%, 33%, 43%, 30%, and 28%, respectively, from 2004-2005 to 2010-2011. The reduction in IMR in each birth weight category was larger than the reduction in the crude IMR (13%). By contrast, the IMR in the <500 g birth weight category exhibited a 56% increase during the study period. The IMRs were calculated by excluding all live births with a birth weight of <500 g. The birth weight-adjusted IMRs, which were calculated using a standard birth weight distribution structure for adjustment, exhibited similar extent reductions.

CONCLUSION

In countries with an increasing proportion of VLBW live births, birth weight-specific or -adjusted IMRs are more appropriate than other indices for accurately assessing the real extent of reduction in IMRs.

Using matrix frame to present road traffic injury pattern

Background

Although many epidemiological studies have presented road traffic injuries (RTIs) according to the victim’s mode of transport, very few have mentioned the mode of transport of the victim’s counterparts. We sought to use matrix frame to present the pattern of RTIs based on the International Classification of Diseases, Tenth Revision (ICD-10) codes.

Methods

Patients admitted to Hualien Tzu Chi Hospital, Taiwan, for RTIs from January 1, 2013 to December 31, 2016 were included. The numbers and proportions of various crash types of RTIs were presented using a matrix frame. The row margin of the matrix is the second character of ICD-10 codes V00–V79 (victim’s mode of transport), and the column margin of the matrix is the third character of ICD-10 codes V00–V79 (mode of transport of victim’s counterpart), constituting a 80-cell grid.

Results

In total, 2727 patients were included. The cell with the highest proportion in the matrix grid was ICD-10 code V23 “motorcycle rider injured in collision with car, pick-up truck or van” (27.0%, 737/2727), followed by that of V27 “motorcycle rider injured in collision with fixed or stationary object” (12.5%, 342/2727) and V28 “motorcycle rider injured in noncollision transport accident” (12.2%, 334/2727). The matrix pattern of RTIs differed with sex and age.

Conclusions

By using the matrix frame, we can easily understand the RTI pattern for different demographic groups and identify the priority crash types.

Opioid users with comorbid hepatitis C spent more time in agonist therapy: A 6-year observational study in Taiwan

BACKGROUND

Hepatitis C virus (HCV) infection is highly prevalent among opioid agonist therapy (OAT) patients, but little is known about long-term OAT use among this population.

METHODS

Subjects diagnosed as opioid dependence were recruited from Mar. 2006 to Jul. 2008 in a psychiatry center in southern Taiwan with the OAT censored in 2012, and their socio-demographics, drug use characteristics, and markers of blood-borne infection were assessed at entry. Correlates with HCV infection and OAT retention were analyzed by multivariate logistic regression. Retention (OAT utilization) was defined as the in-treatment period of OAT during the 6-year observation period.

RESULTS

A total of 983 patients (88.3% men) were included. The prevalences of HCV and HIV infection were 91.4% and 17.9%, respectively. The mean duration of OAT during the study period was 2.3±0.8years. Significant correlates with HCV infection were retention of at least three years in OAT (AOR: 4.24, 95%CI: 1.49-12.03), ever sharing injection equipment (AOR: 227.04, 95%CI: 57.22-900.87), not living with family (AOR: 5.54, 95%CI: 1.45-21.16), lower educational attainment (AOR: 2.10, 95%CI: 1.15-3.82) and previous drug offense (AOR: 6.35, 95%CI: 1.69-23.83). Significant correlates with retention were HCV infection (AOR: 2.53, 95%CI: 1.30-4.93) and divorced or separation in marriage (AOR: 0.65, 95%CI: 0.44-0.96).

CONCLUSIONS

This six-year observational study revealed a better retention in OAT if opioid-dependent individuals had comorbid hepatitis C. This provided opportunities for OAT patients with HCV infection to obtain medical treatment while staying in an OAT program. Further research could explore the possibility of eradicating comorbid HCV infection among these long-term treatment cases.

Estimation of life expectancy and the expected years of life lost among heroin users in the era of opioid substitution treatment (OST) in Taiwan

BACKGROUND

Opioid substitution treatment (OST) has been implemented in Taiwan since 2006. We estimated the life expectancy (LE) and expected years of life lost (EYLL) in a cohort of heroin users stratified by OST for comparison.

METHODS

A total of 1283 heroin users recruited from 2006 to 2008 were linked to the National Mortality Registry until the end of 2011. Among them, 983 received OST, while 300 did not. Kaplan-Meier estimation for survival was performed, and it was extrapolated to 50 years to obtain the LE using a semi-parametric method. We further estimated the EYLL for both cohorts by subtracting their life expectancies from the age- and sex-matched referents of the general population. Cause-specific standardized mortality ratios (SMRs) were calculated and compared with the national cohort to validate the representativeness of this sample.

RESULTS

After extrapolation to 50 years of survival, the estimated average LE and EYLL were 27.4 and 10.6 for OST subjects, respectively, while those of the non-OST were 20.2 and 18.4 years. The all-cause mortality rates (per 1000 person-years) in the observational period for the OST and non-OST group were 15.5 and 23.9, respectively, representing a 7.5- and 10.2-fold SMR compared to the general population, indicating a high representativeness for our sample. But SMR of suicide mortality elevated 16.2 and 3.1 folds in OST and non-OST group, respectively.

CONCLUSIONS

OST saves 7.8 EYLL more than non-OST after accounting for lead time bias. Effective suicide prevention programs could enhance its life-saving effect, especially among those co-morbid with depressive disorders.

Risk of end-stage renal disease after cancer nephrectomy in Taiwan: a nationwide population-based study

Background

The conclusions of population-based studies examining the risk of developing end-stage renal disease (ESRD) after nephrectomy among patients with renal cell carcinoma (RCC) remain inconclusive. In this study, we sought to examine whether patients with RCC undergoing radical nephrectomy (RN) have higher risk of ESRD compared to those undergoing partial nephrectomy (PN).

Methods

Nationwide population-based retrospective cohort of 7670 patients with RCC who underwent RN or PN between 2000 and 2011 as recorded in the Taiwan National Health Insurance in-patient claims data were analyzed. The primary outcome of interest was the occurrence of ESRD requiring regular renal hemodialysis. Multivariable Cox proportional hazard regression model was performed to assess the risk.

Findings

The median follow-up for the post-propensity matched cohort (1212 PN and 2424 RN) was 48 months. Seventy patients (2.9%) developed ESRD among those who underwent RN, for an incidence rate of 6.9 cases per 1000 person-years. In contrast, only 23 patients (1.9%) developed ESRD among patients who underwent PN, for an incidence rate of 5.5 cases per 1000 person-years. Despite the higher incidence rate of ESRD among RN, the aIRR (RN/PN) was 1.26 (95% CI 0.78-2.01), which was not statistically significant.

Conclusions

This Taiwan nationwide population-based study suggests that patients with RCC undergoing RN do not have significantly higher risk of developing ESRD compared to those undergoing PN.

Trends in Unintentional Fall-Related Traumatic Brain Injury Death Rates in Older Adults in the United States, 1980-2010: A Joinpoint Analysis

Unintentional fall-related traumatic brain injury (TBI) death rate is high in older adults in the United States, but little is known regarding trends of these death rates. We sought to examine unintentional fall-related TBI death rates by age and sex in older adults from 1980 through 2010 in the United States. We used multiple-cause mortality data from 1980 through 2010 (31 years of data) to identify fall-related TBI deaths. Using a joinpoint regression program, we determined the joinpoints (years at which trends change significantly) and annual percentage changes (APCs) in mortality trends. The fall-related TBI death rates (deaths per 100,000 population) in older adults ages 65-74, 75-84, and 85 years and above were 2.7, 9.2, and 21.5 for females and 8.5, 18.2, and 40.8 for males, respectively, in 1980. The rate was about the same in 1992, yet increased markedly to 5.9, 23.4, and 68.9 for females and 11.6, 41.2, and 112.4 for males, respectively, in 2010. For males all 65 years years of age and above, we found the first joinpoint in 1992, when the APC for 1980 through 1992, -0.8%, changed to 6.2% for 1992-2005. The second joinpoint occurred in 2005, when the APC decreased to 3.7% for 2005-2010. For all females 65 years of age and above, the first joinpoint was in 1993 when the APC for 1980 through 1993, -0.2%, changed to 7.6% from 1993 to 2005. The second joinpoint occurred in 2005 when the APC decreased to 3.8% for 2005-2010. This descriptive epidemiological study suggests increasing fall-related TBI death rates from 1992 to 2005 and then a slowdown of increasing trends between 2005 and 2010. Continued monitoring of fall-related TBI death rate trends is needed to determine the burden of this public health problem among older adults in the United States.

Possible effect of implementing a national query program on site-specific cancer mortality rates in Taiwan

BACKGROUND

This study aimed to examine possible effects of implementing a national query program on site-specific cancer mortality rates.

MATERIALS AND METHODS

A total of 2,874 query letters were sent out by the Department of Statistics, Ministry of Health and Welfare of Taiwan between January 2009 and December 2011 to medical certifiers who reported "neoplasm with uncertain nature" on the death certificate asking for more detailed information for coding.

RESULTS

Of the 2,571 responses, in 1,398 cases (54%) medical certifiers were still unable to determine the nature of the neoplasm. There were four neoplasm sites for which more than 50% of the responses changed the category to malignant, the gastrointestinal system (73%), urinary system (60%), stomach (55%) and rectum (53%). The liver was the cancer site that showed the largest absolute increase in the number of deaths after the query; however, the brain showed the largest relative increase, at 12%.

CONCLUSIONS

Different neoplasm sites showed different magnitudes of change in nature after the query. Brain cancer mortality rates exhibited the largest increase.