1997-2017 Leading Causes of Death Information Due to Diabetes, Neoplasms, and Diseases of the Circulatory System, Issues Cautionary Weight-Related Lesson to the US Population at Large

Paper-Recorded ECG Digitization Method with Automatic Reference Voltage Selection for Telemonitoring and Diagnosis

In electrocardiograms (ECGs), multiple forms of encryption and preservation formats create difficulties for data sharing and retrospective disease analysis. Additionally, photography and storage using mobile devices are convenient, but the images acquired contain different noise interferences. To address this problem, a suite of novel methodologies was proposed for converting paper-recorded ECGs into digital data. Firstly, this study ingeniously removed gridlines by utilizing the Hue Saturation Value (HSV) spatial properties of ECGs. Moreover, this study introduced an innovative adaptive local thresholding method with high robustness for foreground-background separation. Subsequently, an algorithm for the automatic recognition of calibration square waves was proposed to ensure consistency in amplitude, rather than solely in shape, for digital signals. The original signal reconstruction algorithm was validated with the MIT-BIH and PTB databases by comparing the difference between the reconstructed and the original signals. Moreover, the mean of the Pearson correlation coefficient was 0.97 and 0.98, respectively, while the mean absolute errors were 0.324 and 0.241, respectively. The method proposed in this study converts paper-recorded ECGs into a digital format, enabling direct analysis using software. Automated techniques for acquiring and restoring ECG reference voltages enhance the reconstruction accuracy. This innovative approach facilitates data storage, medical communication, and remote ECG analysis, and minimizes errors in remote diagnosis.

Trends in mortality related to kidney failure and diabetes mellitus in the United States: a 1999-2020 analysis

BACKGROUND

Kidney failure ranks as the tenth leading cause of mortality in the United States (US), frequently arising as a complication associated with diabetes mellitus (DM).

METHODS

Trends in DM and kidney failure mortality were assessed using a cross-sectional analysis of death certificates from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database. Crude and age-adjusted mortality rates (AAMR) per 100,000 people and annual percent change (APC) in age-adjusted mortality rate with 95% CI were obtained and measured across different demographic and geographic subgroups.

RESULTS

Between 1999 and 2020, a total of 325,515 deaths occurred related to kidney failure and DM. The overall age-adjusted mortality rate showed no significant change between 1999 and 2012, after which it declined until 2015 - 64.8 (95% CI - 75.6 to - 44.8) and has been steadily increasing since. Men had consistently higher age-adjusted mortality rates than women throughout the study duration (overall age-adjusted mortality rate men: 8.1 vs. women: 5.9). Non-Hispanic (NH) Black or African American individuals had the highest overall age-adjusted mortality rate (13.9), followed by non-Hispanic American Indian or Alaskan Native (13.7), Hispanic or Latino (10.3), non-Hispanic Asian or Pacific Islander (6.1), and non-Hispanic White (6.0). Age-adjusted mortality rate also varied by region (overall age-adjusted mortality rate: West:7.5; Midwest: 7.1; South: 6.8; Northeast: 5.8), and non metropolitan areas had higher overall age-adjusted mortality rate (7.5) than small/medium (7.2) and large metropolitan areas (6.4).

CONCLUSION

After an initial decline, mortality rose across all the demographic groups from 2015 to 2020, revealing notable disparities in gender, race, and region.

Automated assessment of longitudinal biomarker changes at abdominal CT: correlation with subsequent cardiovascular events in an asymptomatic adult screening cohort

BACKGROUND

Cardiovascular (CV) disease is a major public health concern, and automated methods can potentially capture relevant longitudinal changes on CT for opportunistic CV screening purposes.

METHODS

Fully-automated and validated algorithms that quantify abdominal fat, muscle, bone, liver, and aortic calcium were retrospectively applied to a longitudinal adult screening cohort undergoing serial non-contrast CT examination between 2005 and 2016. Downstream major adverse events (MI/CVA/CHF/death) were identified via algorithmic EHR search. Logistic regression, ROC curve, and Cox survival analyses assessed for associations between changes in CT variables and adverse events.

RESULTS

Final cohort included 1949 adults (942 M/1007F; mean age, 56.2 ± 6.2 years at initial CT). Mean interval between CT scans was 5.8 ± 2.0 years. Mean clinical follow-up interval from initial CT was 10.4 ± 2.7 years. Major CV events occurred after follow-up CT in 230 total subjects (11.8%). Mean change in aortic calcium Agatston score was significantly higher in CV(+) cohort (591.6 ± 1095.3 vs. 261.1 ± 764.3), as was annualized Agatston change (120.5 ± 263.6 vs. 46.7 ± 143.9) (p < 0.001 for both). 5-year area under the ROC curve (AUC) for Agatston change was 0.611. Hazard ratio for Agatston score change > 500 was 2.8 (95% CI 1.5-4.0) relative to < 500. Agatston score change was the only significant univariate CT biomarker in the survival analysis. Changes in fat and bone measures added no meaningful prediction.

CONCLUSION

Interval change in automated CT-based abdominal aortic calcium load represents a promising predictive longitudinal tool for assessing cardiovascular and mortality risks. Changes in other body composition measures were less predictive of adverse events.

Microbes in Tumoral In Situ Tissues and in Tumorigenesis

Cancerous tumors are severe diseases affecting human health that have a complicated etiology and pathogenesis. Microbes have been considered to be related to the development and progression of numerous tumors through various pathogenic mechanisms in recent studies. Bacteria, which have so far remained the most studied microbes worldwide, have four major possible special pathogenic mechanisms (modulation of inflammation, immunity, DNA damage, and metabolism) that are related to carcinogenesis. This review aims to macroscopically summarize and verify the relationships between microbes and tumoral in situ tissues from cancers of four major different systems (urinary, respiratory, digestive, and reproductive); the abovementioned four microbial pathogenic mechanisms, as well as some synergistic pathogenic mechanisms, are also discussed. Once the etiologic role of microbes and their precise pathogenic mechanisms in carcinogenesis are known, the early prevention, diagnosis, and treatment of cancers would progress significantly.

A Review of Mechanisms on the Beneficial Effect of Exercise on Atherosclerosis

Cardiovascular disease has affected a large percentage of the world, and as a result, we have had major advancements in pharmacological and procedural intervention of this disease. With the increased burden of rising healthcare costs, alternative treatment with exercise has shown to be much more cost effective and just as beneficial to patients compared to pharmacological and procedural treatment. We highlight some of the major mechanisms behind the beneficial effect of exercise on atherosclerosis and hope to encourage patients and providers to attempt to adopt this form of treatment that has not only shown to be beneficial to heart disease, but diseases such as diabetes and obesity as well.

Twenty-Year Observational Study Shows Rising Alcohol-Attributable Death Profiles in the U.S. and Delaware

The U.S. alcohol-attributable mortality burden makes it the third-leading cause of preventable deaths. This 1999-2018 observational study used the Tenth Revision of the International Classification of Diseases codes and the alcohol-related disease impact (ARDI) causes of death records to track alcohol's mortality burden. The Centers for Disease Control and Prevention keeps Wide-Ranging Online Data for Epidemiologic Research (WONDER) death certificates for the U.S. community. Evidence indicates that the U.S. ARDI mortality rates progressively trended upward (53.73%). Men were three times as likely as women to die, but female mortality rate changes (90.03%) advanced more rapidly than males. The study also revealed that the changes in alcohol-related death rate percentages for middle-age groups increased faster. In contrast, the African American/Black (AA/B) community's age-adjusted mortality rate change patterns first declined and then increased. The alcohol-attributable mortality rate (1999 to 2018) difference for AA/B was -6.35%. Delaware's population is around one million, and about 23% is African American/Black. The subgroup analysis for Delaware's population was robust and showed alcohol-attributable mortality rates above national averages. This trend was apparent for both gender and race. In conclusion, for both the U.S. and Delaware, alcohol use disorder is a risk factor for mortality, especially for males.

The Characteristics and Mortality of Osteoporosis, Osteomyelitis, or Rheumatoid Arthritis in the Diabetes Population: A Retrospective Study

BACKGROUND

Patients with diabetes mellitus are prone to develop osteoporosis, osteomyelitis, or rheumatoid arthritis (RA). Furthermore, the presence of these complications in those with diabetes may lead to higher mortality. The aim of our study was to assess characteristics and mortality of osteoporosis, osteomyelitis, or rheumatoid arthritis in individuals with diabetes.

METHODS

We analyzed osteoporosis, osteomyelitis, and RA deaths associated with diabetes from 1999-2017 using the CDC WONDER system (CDC WONDER; https://wonder.cdc.gov). We used ICD-10 codes to categorize the underlying and contributing causes of death. Crude mortality rates (CMR) and age-adjusted mortality rates (AAMR) per 1,000,000 person-years were calculated.

RESULTS

The AAMR for osteoporosis in the population with diabetes was significantly higher in females (AAMR: 4.17, 95% CI: 4.10-4.24) than in males (AAMR: 1.12, 95% CI: 1.07-1.16). Deaths due to osteoporosis increased gradually from 1999, peaked in 2003 (AAMR: 3.78, 95% CI: 3.55-4.00), and reached a nadir in 2016 (AAMR: 2.32, 95% CI: 2.15-2.48). The AAMR for RA associated with diabetes was slightly higher in females (AAMR: 4.04, 95% CI: 3.98-4.11) than in males (AAMR: 2.45, 95% CI: 2.39-2.51). The mortality rate due to RA increased slightly from 1999 (AAMR: 3.18, 95% CI: 2.97-3.39) to 2017 (AAMR: 3.20, 95% CI: 3.02-3.38). The AAMR for osteomyelitis associated with diabetes was higher in males (AAMR: 4.36, 95% CI: 4.28-4.44) than in females (AAMR: 2.31, 95% CI: 2.26-2.36). From 1999 to 2017, the AAMR from osteomyelitis in this population was 2.63 (95% CI: 2.44-2.82) per 1,000,000 person-years in 1999 and 4.25 (95% CI: 4.05-4.46) per 1,000,000 person-years in 2017.

CONCLUSIONS

We found an increase in the age-adjusted mortality rates of RA and osteomyelitis and a decrease of osteoporosis associated with diabetes from 1999 to 2017. We suggest that increased attention should therefore be given to these diseases in the population with diabetes, especially in efforts to develop preventative and treatment strategies.

Delaware's 1999-2017 Leading Causes of Death Information Illustrates Its Obesity and Obesity-Related Life-Limiting Disease Burdens

Using commercially available but powerful big data analytics, this non-clinical obesity and underlying causes of death observational study, analyzed the very large US Centers for Disease Control and Prevention's (CDC) State of Obesity records, the CDC WONDER data, and the US census records. Compared to the 1999-to-2017 US obesity rate increase of 29.8%, an uncontrolled increase in Delaware's obesity rate (81.7%) was observed. During the same time period, CDC WONDER death certificate archives disclosed that there was a 60.53% surge in crude Delawarean mortality rate when obesity was listed as a single underlying cause of death. When any mention of obesity was documented on the death certificate, Delaware's 1999-2017 crude mortality rate advanced by 75.69% and its age-adjusted rate rose by 53.18%. Likewise, except for one year, Delaware's African American/Black population experienced higher crude mortality rate averages but however, between the years of 1997 and 2017, its Caucasian/White inhabitants had an enormous 87.34% death rate increase. With additional available CDC mortality data, Delaware males saw substantially larger age-adjusted death rate increases (79.87%) than their female counterparts (28.92%). Diabetes, circulatory system diseases, and neoplasms (cancer), are three common obesity comorbidities. For these three conditions, Delaware's 1999-2017 mortality rate figures mimic the falling national patterns of mortality rate averages, when each disease is listed as the single underlying cause of death, including observations where there are disproportionate numbers of cases that affect the African American/Black race.