Which ICD‐9 codes were assigned for malignant mesothelioma in the mortality data in the United States before the ICD‐10 was introduced?

Author(s):  
Shu‐Yu Tai ◽  
Jingyi Wu ◽  
Lukas Jyuhn‐Hsiarn Lee ◽  
Tsung‐Hsueh Lu
2021 ◽  
Author(s):  
Hamisu M. Salihu ◽  
Danielle N Gonzales ◽  
Deepa Dongarwar

Abstract This study aims to assess recent trends and characteristics for infanticide and the sub-groups: neonaticide and post-neonaticide during the time period 2003–2017. Multiple Cause-of-Death Mortality Data were used to identify infanticides in the United States based on ICD-10 codes. Joinpoint regression analysis was used to calculate trends in the rates of infanticide, neonaticide and post-neonaticide during the study period. Logistic regression was used to examine the association between the socio-demographic characteristics and each of the outcomes. During the study period, 4,545 (1.2%) infants were identified as being victims of infanticide. The rates of neonaticide declined by 4.2% over the study period, whereas that of infanticide and post-neonaticide remained statistically unchanged. Males and Non-Hispanic (NH) Blacks were more likely to be victims of infanticide and post-neonaticide, compared to females and NH-Whites respectively, but had similar likelihood of neonaticide. While foreign-born residents exhibited nearly a four-fold increased likelihood of neonaticide, they had about 70% lesser likelihood of post-neonaticide than US born residents. Conclusion: Reasons for the disparities found in this study are multifactorial. We believe that access to healthcare needs to be improved and community resources need to be made more available to address the proposed mechanisms that lead to infanticide.


2010 ◽  
Vol 28 (15) ◽  
pp. 2625-2634 ◽  
Author(s):  
Malcolm A. Smith ◽  
Nita L. Seibel ◽  
Sean F. Altekruse ◽  
Lynn A.G. Ries ◽  
Danielle L. Melbert ◽  
...  

Purpose This report provides an overview of current childhood cancer statistics to facilitate analysis of the impact of past research discoveries on outcome and provide essential information for prioritizing future research directions. Methods Incidence and survival data for childhood cancers came from the Surveillance, Epidemiology, and End Results 9 (SEER 9) registries, and mortality data were based on deaths in the United States that were reported by states to the Centers for Disease Control and Prevention by underlying cause. Results Childhood cancer incidence rates increased significantly from 1975 through 2006, with increasing rates for acute lymphoblastic leukemia being most notable. Childhood cancer mortality rates declined by more than 50% between 1975 and 2006. For leukemias and lymphomas, significantly decreasing mortality rates were observed throughout the 32-year period, though the rate of decline slowed somewhat after 1998. For remaining childhood cancers, significantly decreasing mortality rates were observed from 1975 to 1996, with stable rates from 1996 through 2006. Increased survival rates were observed for all categories of childhood cancers studied, with the extent and temporal pace of the increases varying by diagnosis. Conclusion When 1975 age-specific death rates for children are used as a baseline, approximately 38,000 childhood malignant cancer deaths were averted in the United States from 1975 through 2006 as a result of more effective treatments identified and applied during this period. Continued success in reducing childhood cancer mortality will require new treatment paradigms building on an increased understanding of the molecular processes that promote growth and survival of specific childhood cancers.


2005 ◽  
Vol 163 (2) ◽  
pp. 181-187 ◽  
Author(s):  
Jonathan Dushoff ◽  
Joshua B. Plotkin ◽  
Cecile Viboud ◽  
David J. D. Earn ◽  
Lone Simonsen

2021 ◽  
pp. 088506662110668
Author(s):  
Asha Singh ◽  
Chen Liang ◽  
Stephanie L. Mick ◽  
Chiedozie Udeh

Background The Cardiac Surgery Score (CASUS) was developed to assist in predicting post-cardiac surgery mortality using parameters measured in the intensive care unit. It is calculated by assigning points to ten physiologic variables and adding them to obtain a score (additive CASUS), or by logistic regression to weight the variables and estimate the probability of mortality (logistic CASUS). Both additive and logistic CASUS have been externally validated elsewhere, but not yet in the United States of America (USA). This study aims to validate CASUS in a quaternary hospital in the USA and compare the predictive performance of additive to logistic CASUS in this setting. Methods Additive and logistic CASUS (postoperative days 1-5) were calculated for 7098 patients at Cleveland Clinic from January 2015 to February 2017. 30-day mortality data were abstracted from institutional records and the Death Registries for Ohio State and the Centers for Disease Control. Given a low event rate, model discrimination was assessed by area under the curve (AUROC), partial AUROC (pAUC), and average precision (AP). Calibration was assessed by curves and quantified using Harrell's Emax, and Integrated Calibration Index (ICI). Results 30-day mortality rate was 1.37%. For additive CASUS, odds ratio for mortality was 1.41 (1.35-1.46, P <0.001). Additive and logistic CASUS had comparable pAUC and AUROC (all >0.83). However, additive CASUS had greater AP, especially on postoperative day 1 (0.22 vs. 0.11). Additive CASUS had better calibration curves, and lower Emax, and ICI on all days. Conclusions Additive and logistic CASUS discriminated well for postoperative 30-day mortality in our quaternary center in the USA, however logistic CASUS under-predicted mortality in our cohort. Given its ease of calculation, and better predictive accuracy, additive CASUS may be the preferred model for postoperative use. Validation in more typical cardiac surgery centers in the USA is recommended.


2018 ◽  
Vol 75 (8) ◽  
pp. 1625-1636 ◽  
Author(s):  
Dwight C K Tse

Abstract Objectives Volunteering is associated with improved physical and psychological well-being; volunteers feeling more respect for their work may have better well-being than their counterparts. Methods This study investigated the effects of felt respect for volunteer work on volunteering retention, daily affect, well-being (subjective, psychological, and social), and mortality. The study analyzed survey and mortality data from a national sample of 2,677 volunteers from the Midlife in the United States Study over a 20-year span. Daily affect data were obtained from a subsample of 1,032 volunteers. Results Compared to volunteers feeling less respect from others, those feeling more respect (a) were more likely to continue volunteering 10 and 20 years later, (b) had higher levels of daily positive affect and lower levels of daily negative affect, and (c) had higher levels of well-being over a 20-year period. The effect of felt respect on mortality was not statistically significant. Discussion Greater level of felt respect for volunteer work is positively related to volunteers’ retention rates, daily affective experience, and well-being.


2021 ◽  
Vol 111 (4) ◽  
pp. 696-699
Author(s):  
Ellicott C. Matthay ◽  
Kate A. Duchowny ◽  
Alicia R. Riley ◽  
Sandro Galea

Objectives. To project the range of excess deaths potentially associated with COVID-19–related unemployment in the United States and quantify inequities in these estimates by age, race/ethnicity, gender, and education. Methods. We used previously published meta-analyzed hazard ratios (HRs) for the unemployment–mortality association, unemployment data from the Bureau of Labor Statistics, and mortality data from the National Center for Health Statistics to estimate 1-year age-standardized deaths attributable to COVID-19–related unemployment for US workers aged 25 to 64 years. To accommodate uncertainty, we tested ranges of unemployment and HR scenarios. Results. Our best estimate is that there will be 30 231 excess deaths attributable to COVID-19–related unemployment between April 2020 and March 2021. Across scenarios, attributable deaths ranged from 8315 to 201 968. Attributable deaths were disproportionately high among Blacks, men, and those with low education. Conclusions. Deaths attributable to COVID-19–related unemployment will add to those directly associated with the virus and will disproportionately burden groups already experiencing incommensurate COVID-19 mortality. Public Health Implications. Supportive economic policies and interventions addressing long-standing harmful social structures are essential to mitigate the unequal health harms of COVID-19.


2019 ◽  
Vol 8 (7) ◽  
pp. 922
Author(s):  
Daisy J.A. Janssen ◽  
Simon Rechberger ◽  
Emiel F.M. Wouters ◽  
Jos M.G.A. Schols ◽  
Miriam J. Johnson ◽  
...  

Background: Insight into health conditions associated with death can inform healthcare policy. We aimed to cluster 27,525,663 deceased people based on the health conditions associated with death to study the associations between the health condition clusters, demographics, the recorded underlying cause and place of death. Methods: Data from all deaths in the United States registered between 2006 and 2016 from the National Vital Statistics System of the National Center for Health Statistics were analyzed. A self-organizing map (SOM) was used to create an ordered representation of the mortality data. Results: 16 clusters based on the health conditions associated with death were found showing significant differences in socio-demographics, place, and cause of death. Most people died at old age (73.1 (18.0) years) and had multiple health conditions. Chronic ischemic heart disease was the main cause of death. Most people died in the hospital or at home. Conclusions: The prevalence of multiple health conditions at death requires a shift from disease-oriented towards person-centred palliative care at the end of life, including timely advance care planning. Understanding differences in population-based patterns and clusters of end-of-life experiences is an important step toward developing a strategy for implementing population-based palliative care.


Seizure ◽  
2019 ◽  
Vol 71 ◽  
pp. 295-303 ◽  
Author(s):  
Iván Sánchez Fernández ◽  
Marta Amengual-Gual ◽  
Cristina Barcia Aguilar ◽  
Tobias Loddenkemper

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