Epidemiology of Cancers in Zambia: A significant variation in Cancer incidence and prevalence across the nation

BackgroundCancer is one of the leading causes of death worldwide. More than two-thirds of deaths due to cancers occur in low- and middle-income countries where Zambia belongs. This study, therefore, sought to assess the epidemiology of various types of cancers in Zambia.MethodsWe conducted a retrospective observational study using the Zambia National Cancer Registry (ZNCR) population based data from 2007 to 2014. Zambia Central Statistics Office (CSO) demographic data were used to determine catchment area denominator used to calculate prevalence and incidence rates of cancers. Age-adjusted rates and case fatality rates were estimated using standard methods. We used a Poisson Approximation for calculating 95% confidence intervals (CI). ResultsThe seven most cancer prevalent districts in Zambia were Luangwa, Kabwe, Lusaka, Monze, Mongu, Katete and Chipata. Cervical cancer, prostate cancer, breast cancer and Kaposi’s sarcoma were the four most prevalent cancers as well as major causes of cancer related deaths in Zambia. Age adjusted rates and 95% CI for these cancers were: cervix uteri (186.3; CI = 181.77 – 190.83), prostate (60.03; CI = 57.03 – 63.03), breast (38.08; CI = 36.0 – 40.16) and Kaposi’s sarcoma (26.18; CI = 25.14 – 27.22). CFR were: Leukaemia (38.1%); pancreatic cancer (36.3%); lung cancer (33.3%); and brain, nervous system (30.2%). The cancer population was associated with HIV with p- value of 0.000 and a Pearson correlation coefficient of 0.818.ConclusionsThe widespread distribution of cancers with high prevalence observed in the southern zone may have been perpetrated by lifestyle and sexual culture (traditional male circumcision known to prevent STIs is practiced in the northern belt) as well as geography. Intensifying cancer screening and early detection countrywide as well as changing the lifestyle and sexual culture would greatly help in the reduction of cancer cases in Zambia.

The Predictive Power of State-Level Health Care Utilization for Unintentional Fatal Fall Rates

ObjectiveTo examine the predictive power of state-level care utilization and longitudinal trends in mortality from unintentional falls amongst different demographic and geographic strata.Study DesignNationwide, retrospective cohort study.SettingWeb-based Injury Statistics Query and Reporting System (WISQARS) database.MethodsThe exposure was death from an unintentional fall as determined by the United States Centers for Disease Control. Outcomes included aggregate and trend crude and age adjusted death rates. Health care utilization, reimbursement, and cost metrics were also compared.ResultsOver 2001 to 2018, 465,486 total deaths due to unintentional falls were recorded with crude and age-adjusted rates of 8.42 and 7.76 per 100,000 population. Comparing age-adjusted rates, males had a significantly higher age-adjusted death rate (9.89 vs. 6.17; p < 0.00001), but both male and female annual age-adjusted mortality rates are expected to rise (Male: +0.25 rate/year, R 2 = 0.98; Female: +0.22 rate/year, R 2 = 0.99). There were significant increases in death rates commensurate with increasing age, with the adults aged 85 years or older having the highest aggregate (201.1 per 100,000) and trending death rates (+ 8.75 deaths per 100,000/year, R 2 = 0.99). Machine learning algorithms using health care utilization data were accurate in predicting state-level age-adjusted death rates.ConclusionIn the United States from 2001 through 2018, older adults carried the highest death rate from unintentional falls and this rate is forecasted to accelerate. Machine learning models have high accuracy in predicting state-level age-adjusted mortality rates from health care utilization data.

Socioeconomic Burden of Rising Methamphetamine-Associated Heart Failure Hospitalizations in California From 2008 to 2018

BACKGROUND: Methamphetamine-associated cardiomyopathy/heart failure (MethHF) is an increasingly recognized disease entity in the context of a rising methamphetamine (meth) epidemic that most severely impacts the western United States. Using heart failure (HF) hospitalization data from the Office of Statewide Health Planning and Development, this study aimed to assess trend and disease burden of MethHF in California. METHODS: Adult patients (≥18 years old) with HF as primary hospitalization diagnosis between 2008 and 2018 were included in this study. The association with Meth (MethHF) and those without (non-MethHF) were determined by meth-related International Classification of Diseases -based secondary diagnoses. Statistical significance of trends in age-adjusted rates of hospitalization per 100 000 adults were evaluated using nonparametric analysis. RESULTS: Between 2008 and 2018, 1 033 076 HF hospitalizations were identified: 42 565 were MethHF (4.12%) and 990 511 (95.88%) were non-MethHF. Age-adjusted MethHF hospitalizations per 100 000 increased by 585% from 4.1 in 2008 to 28.1 in 2018, while non-MethHF hospitalizations decreased by 6.0% from 342.3 in 2008 to 321.6 in 2018. The rate of MethHF hospitalization increase more than doubled that of a negative control group with urinary tract infection and meth-related secondary diagnoses (7.82-fold versus 3.48-fold, P <0.001). Annual inflation–adjusted hospitalization charges because of MethHF increased by 840% from $41.5 million in 2008 to $390.2 million in 2018, as compared with an 82% increase for all HF hospitalization from $3.503 billion to $6.376 billion. Patients with MethHF were significantly younger (49.64±10.06 versus 72.20±14.97 years old, P <0.001), predominantly male (79.1% versus 52.4%, P <0.001), with lower Charlson Comorbidity Index, yet they had longer length of stay, more hospitalizations per patient, and more procedures performed during their stays. CONCLUSIONS: MethHF hospitalizations increased sharply during the study period and contributed significantly to the HF hospitalization burden in California. This emerging HF phenotype, which engenders considerable financial and societal costs, calls for an urgent and concerted public health response to contain its spread.

Trends in Incidence and Mortality of Skin Melanoma in Lithuania 1991–2015

Background. We aimed to investigate age-specific and sex-specific incidence trends of melanoma in Lithuania from 1991 to 2015. Methods. Analysis was based on data from the population-based Lithuanian Cancer Registry database for 1991–2015, and 6024 cases of skin melanoma were identified. Age-adjusted rates (ASRs) by sex and age group were calculated. Adjustment for ASRs was done using the old European standard population, where a total of three age groups were considered: 0–39, 40–59 and 60+. Additionally, the annual percent change (APC) was calculated, and 95% confidence intervals for APC were calculated. Results. Between 1991 and 2015, the overall melanoma rates increased by an annual percent change (APC) of 3.9% in men (95% CI, 3.6–4.1%) and 2.3% in women (95% CI, 2.1–2.5%). The highest incidences of new cutaneous melanoma cases were observed between old adults (60+) of both sexes, while the lowest incidence rates were observed in the young adult group (up to 39 years old), with the lowest APC (1.6% in males and 0.4% in females). The overall number of melanoma deaths during 1991 and 2015 increased from 64 to 103 deaths per year, and the age-standardized rate (ASR) increased 1.3 times (from 1.8 to 2.4). Conclusions. The incidence and mortality of skin melanoma seem to be increased in all age groups. These trends indicate that skin protection behavior is not sufficient in our population and more efforts need to be taken in order to decrease incidence and mortality rates.