scholarly journals EPID-29. CAUSES OF DEATH FOR PRIMARY BRAIN AND CNS TUMOR PATIENTS IN THE UNITED STATES (2001 – 2016): A POPULATION BASED STUDY

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii84-ii85
Author(s):  
Maria Penuela ◽  
Nirav Patil ◽  
Gino Cioffi ◽  
Carol Kruchko ◽  
Jill S Barnholtz-Sloan
Keyword(s):  
Brain Tumor ◽  
Cause Of Death ◽  
Causes Of Death ◽  
Malignant Tumors ◽  
Cancer Registries ◽  
Population Based ◽  
Cns Tumors ◽  
Tumor Patients ◽  
Factors Associated ◽  
Specific Mortality

Abstract BACKGROUND Population-based data on the various causes of death among Primary Brain and CNS tumor patients are lacking. We evaluated the causes of death for all eligible patients using the National Program of Cancer Registries (NPCR) data. METHODS The population-based cancer survival data collected by the Centers for Disease Control and Prevention’s National Program of Cancer Registries (NPCR) were used to analyze the causes of death for patients of all ages with primary brain and CNS tumors diagnosed between 2001 and 2016. Patients for whom the cause of death was not listed on the death certificate or whose state death certificate was not available were excluded. Additional analyses to identify factors associated with brain tumor-specific mortality for the most common malignant (Glioblastoma) and non-malignant (Meningioma) were performed using univariable and multivariable logistic regression analysis. RESULTS Major cause of death for patients with malignant tumors was death due to brain and other CNS tumors (49.29%), and for non-malignant tumors were other benign and malignant tumors (31.5%) and heart disease (17.9%). Overall mortality was 36.4% (n=331,953) in patients with Primary Brain and CNS Tumors during the study period. Specifically, 163,621 (49.29%) patients died due to brain and other CNS tumors. A significant proportion of patients with malignant tumors had brain tumor-specific mortality compared to non-malignant tumors (75.4% in malignant vs 4.2% in non-malignant). The factors associated with brain specific mortality in Glioblastoma patients were Age (p< 0.001), Race (p< 0.001) and Primary Site (p< 0.001). Further, the factors associated with brain specific mortality in Non-malignant Meningioma patients were Age (p< 0.001), Sex (p< 0.001), Race (p< 0.001) and Primary Site (P< 0.001). CONCLUSION Cause of death attributed to the brain tumor was significantly higher in malignant brain tumors compared to non-malignant brain tumors.

Cause-specific mortality in survivors of lymphoplasmacytic lymphoma (LPL) and waldenstrom macroglobulinemia (WM).

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e19056-e19056
Author(s):  
Nicole H. Dalal ◽  
Graca Dores ◽  
Rochelle E. Curtis ◽  
Martha S. Linet ◽  
Lindsay M. Morton
Keyword(s):  
General Population ◽  
Causes Of Death ◽  
Age Groups ◽  
Population Data ◽  
Cancer Registries ◽  
Population Based ◽  
Cumulative Mortality ◽  
Risk Of Death ◽  
Specific Mortality ◽  
Absolute Excess Risk

e19056 Background: LPL and WM are rare, indolent mature B-cell lymphomas. While recent studies reveal improving survival after LPL/WM, cause-specific mortality has not been comprehensively studied. Methods: We identified 6659 adults with first primary LPL (n = 2866) or WM (n = 3793) within 17 US population-based cancer registries from 2000 to 2015. Patients were followed for vital status (mean follow-up = 5.07 years), and causes of death were determined from death certificates. Standardized mortality ratios (SMRs) estimated relative risk of death compared to the general population. We estimated cumulative mortality and absolute excess risk (AER) per 10,000 person-years. Results: We observed 2826 deaths overall, of which 43%, 13%, and 42% were due to lymphoma, cancers excluding lymphoma, and non-malignant causes, respectively. There was a 20% higher risk of death due to non-malignant causes compared to the general population (n = 1194, SMR = 1.2, 95% confidence interval [CI] = 1.1 to 1.2). The most common non-malignant causes included infectious (n = 162, SMR = 1.8, 95% CI = 1.5 to 2.1, AER = 21.0), respiratory (n = 131, SMR = 1.2, 95% CI = 1.0 to 1.5, AER = 7.4), and digestive (n = 76, SMR = 1.9, 95% CI = 1.5 to 2.4, AER = 10.7) diseases. Cause-specific mortality varied by time since and age at LPL/WM diagnosis. Risks were highest in the first year after LPL/WM for non-malignant causes (SMR = 1.4, AER = 34.3), particularly infections (SMR = 2.4, AER = 34.4) and non-neoplastic hematologic diseases (SMR = 17.3, AER = 20.7). In contrast, risk of death due to cancers excluding lymphoma increased with time since diagnosis (SMR< 1y = 1.2, SMR≥5y = 1.7; AER< 1y = 15.1, AER≥5y = 60.0). Analyses by age, focused on AERs, showed generally similar risks across age groups (cancers excluding lymphoma: AER< 65= 26, AER65-75= 28, AER≥75= 31; non-malignant causes: AER< 65= 52, AER65-75= 66, AER≥75= 23). Cumulative mortality from non-malignant causes (23.7%) exceeded that from lymphoma (22.9%) beginning 9 years after LPL/WM diagnosis. Conclusions: Using population data, we identified areas to improve survivorship care of LPL/WM patients, particularly for non-malignant causes of death.

scholarly journals Causes of Mortality in Older People With Intellectual Disability: Results From the HA-ID Study

2018 ◽  
Vol 123 (1) ◽  
pp. 61-71 ◽  
Author(s):  
Alyt Oppewal ◽  
Josje D. Schoufour ◽  
Hanne J.K. van der Maarl ◽  
Heleen M. Evenhuis ◽  
Thessa I.M. Hilgenkamp ◽  
...  
Keyword(s):  
Older Adults ◽  
Intellectual Disability ◽  
Cause Of Death ◽  
Causes Of Death ◽  
Circulatory System ◽  
Bacterial Diseases ◽  
Specific Mortality ◽  
Causes Of Mortality ◽  
Insight Into

Abstract We aim to provide insight into the cause-specific mortality of older adults with intellectual disability (ID), with and without Down syndrome (DS), and compare this to the general population. Immediate and primary cause of death were collected through medical files of 1,050 older adults with ID, 5 years after the start of the Healthy Ageing and Intellectual Disabilities (HA-ID) study. During the follow-up period, 207 (19.7%) participants died, of whom 54 (26.1%) had DS. Respiratory failure was the most common immediate cause of death (43.4%), followed by dehydration/malnutrition (20.8%), and cardiovascular diseases (9.4%). In adults with DS, the most common cause was respiratory disease (73.3%), infectious and bacterial diseases (4.4%), and diseases of the digestive system (4.4%). Diseases of the respiratory system also formed the largest group of primary causes of death (32.1%; 80.4% was due to pneumonia), followed by neoplasms (17.6%), and diseases of the circulatory system (8.2%). In adults with DS, the main primary cause was also respiratory diseases (51.1%), followed by dementia (22.2%).

Somatization Symptoms Are Related to Right-Hemispheric Primary Brain Tumor: A Population-Based Prospective Study of Tumor Patients in Northern Finland

2009 ◽  
Vol 50 (4) ◽  
pp. 331-335 ◽  
Author(s):  
Arja Mainio ◽  
Helinä Hakko ◽  
Asko Niemelä ◽  
John Koivukangas ◽  
Pirkko Räsänen
Keyword(s):  
Brain Tumor ◽  
Prospective Study ◽  
Population Based ◽  
Primary Brain Tumor ◽  
Tumor Patients

scholarly journals EPIDEMIOLOGY AND SURVIVAL OF PATIENTS WITH MALIGNANT TUMORS OF THE BRAIN (C71). POPULATION-BASED STUDY

2020 ◽  
Vol 66 (5) ◽  
pp. 489-499
Author(s):  
Vakhtang Merabishvili ◽  
Kalyango Kennet ◽  
M. Valkov ◽  
Andrey Dyachenko
Keyword(s):  
Malignant Tumors ◽  
Cranial Nerves ◽  
Cancer Registries ◽  
Population Based ◽  
Malignant Neoplasms ◽  
Incidence And Mortality ◽  
Icd 10 ◽  
The Central Nervous System ◽  
First Time ◽  
The Brain

Malignant neoplasms of the brain (BMN) in accordance with the international classification of the diseases (ICD-10) belong to the rubric C71. However, in the world and Russia it is customary to understand this term as the entire block of localizations related to the brain - rubrics C70-71. The topographic codes C70 (meninges), C71 (brain) and C72 (spinal cord, cranial nerves and other parts of the central nervous system) make up a small proportion among MN in general. In addition, all the summary data WHO-IARC and Russia as a rule aggregate the CNS tumors under the three heading ICD - 10 (ICDO-3) C70-72. With the developments in Russia of the system of Population cancer registries, it became possible to study the patterns of dynamics of incidence and to calculate the survival rate of patients with malignant necrosis in each ICD-10 section. This study presents the population-based analysis of incidence and mortality from BMN using available sources and, for the first time in Russia, the analysis of the dynamics of the survival among the patients with BMN under the rubric C71 is performed.

scholarly journals Factors associated with death in patients with tuberculosis in Brazil: survival analysis with competitive risks

2019 ◽  
Author(s):  
Paulo Victor de Sousa Viana ◽  
Natalia Santana Paiva ◽  
Daniel Antunes Maciel Villela ◽  
Leonardo Soares Bastos ◽  
Ana Luiza de Souza Bierrenbach ◽  
...  
Keyword(s):  
Causes Of Death ◽  
Population Based ◽  
High Rate ◽  
Hiv Positive ◽  
Death Certificates ◽  
Positive Serology ◽  
Tuberculosis Patients ◽  
Factors Associated ◽  
Tb Treatment ◽  
Early Case

Abstract Background: This study aimed to analyze the factors associated with deaths caused by TB, TB-related causes and deaths from other causes. Methods: A retrospective, population-based cohort study of the causes of death, using a survival regression model in the presence of competitive risk in a cohort of patients in treatment for TB was performed using records of patients that started TB treatment in Brazil and death certificates from 2008 to 2013. Results: In this cohort, 39,997 individuals (14.1%) died, out of a total of 283,508 individuals. Of these, 8,936 deaths due to TB (22.4%), 3,365 deaths to associated TB (8.4%), revealing a high rate of lethality. 27,696 deaths (69.2%) were from other causes. From our analysis, factors strongly associated with death from TB were male gender (sHR = 1.33, 95% CI: 1.26-1.40), older than 60 years (sHR = 9.29, 95% CI: 8.15-10.60), illiterate schooling (sHR = 2.33, 95% CI: 2.09-2.59), black (sHR = 1.33, 95% CI: 1.26-1.40) and brown color/race (sHR = 13, 95% CI: 1.07-1.19), from the southern region (sHR = 1.19, 95% CI: 1.10-1.28), mixed forms (sHR = 1.91, 95% CI: 1.73 -2.11) and alcoholism (sHR = 1.90, 95% CI: 1.81-2.00). Also, HIV positive serology was strongly associated with death due to TB (sHR = 62.78; 95% CI: 55.01 - 71.63). Conclusions: We believe that specific active surveillance strategies and early case finding could reduce mortality among tuberculosis patients, leading to a more timely detection and treatment.

Testicular cancer in the cisplatin era: Causes of death and mortality rates in a population-based cohort.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 5006-5006
Author(s):  
Ragnhild Hellesnes ◽  
Tor Åge Myklebust ◽  
Sophie D. Fossa ◽  
Roy M. Bremnes ◽  
Asa Karlsdottir ◽  
...  
Keyword(s):  
General Population ◽  
Oral Cavity ◽  
Testicular Cancer ◽  
Cause Of Death ◽  
Causes Of Death ◽  
Population Based ◽  
Second Cancer ◽  
Treatment Data

5006 Background: Previous studies have reported an increased risk of premature mortality in testicular cancer (TC) survivors, probably associated with previous platinum-based chemotherapy (PBCT) or radiotherapy (RT). However, complete data regarding PBCT cycles are lacking in available literature. Using complete TC treatment data, this population-based cohort study aimed to investigate non-TC mortality in relation to TC treatment. Methods: Overall, 5,707 men diagnosed with TC 1980-2009 were included, identified from the Cancer Registry of Norway. Clinical parameters and treatment data were abstracted from medical records and linked with the Norwegian Cause of Death Registry. Causes of death were classified by the European Shortlist. Standardized mortality ratios (SMRs) were calculated to compare the cause-specific mortality in the cohort to an age-matched general population. Age-adjusted hazard ratios (HRs) were estimated to evaluate the impact of number of PBCT cycles on non-TC mortality. Results: During a median follow-up of 18.7 years, 665 (12%) men were registered with non-TC death. The overall excess non-TC mortality was 23% (SMR 1.23, 95% CI 1.14-1.33) compared with the general population, with increased risks after PBCT (SMR 1.23, 95% CI 1.06-1.42) and RT (SMR 1.28, 95% CI 1.15-1.43), but not after surgery (SMR 0.95, 95% CI 0.79-1.14). SMRs increased significantly with increasing follow-up time ≥10 years, and the overall risk of non-TC death reached a maximum after ≥30 years follow-up (SMR 1.64, 95% CI 1.31-2.06). The most important cause of death was non-TC second cancer with an overall SMR of 1.53 (95% CI 1.35-1.73). Increased risks appeared after PBCT (SMR 1.43, 95% CI 1.12-1.83) and RT (SMR 1.59, 95% CI 1.34-1.89). Treatment with PBCT was associated with significantly 1.69-6.78-fold increased SMRs for cancers of the oral cavity/pharynx, esophagus, lung, bladder, and leukemia. After RT, significantly 3.02- 4.91-fold increased SMRs emerged for cancers of the oral cavity/pharynx, stomach, liver, pancreas and bladder. Non-cancer mortality was also increased by 15% (SMR 1.15, 95% CI 1.04-1.27), and excesses appeared after PBCT (1.23, 95% CI 1.03-1.47) and RT (SMR 1.17, 95% CI 1.01-1.34). Importantly, we report excess suicides after PBCT (SMR 1.65, 95% CI 1.01-2.69). Long-term overall cardiovascular mortality was not increased in the study cohort nor according to treatment modality. Compared with surgery, the overall non-TC mortality was increased after 4 (HR 1.41, 95% CI 1.00-1.98) and >4 (HR 2.03, 95% CI 1.24-3.33) PBCT cycles after >10 years of follow-up. Conclusions: TC treatment with PBCT or RT is associated with significantly increased long-term non-TC mortality, with non-TC second cancer being the most important cause of death. Significantly elevated risks for non-TC mortality emerged after ≥4 PBCT cycles after >10 years of follow-up.

Insomnia Among Brain Tumor Patients: A Population-Based Prospective Study of Tumor Patients in Northern Finland

2013 ◽  
Vol 31 (5) ◽  
pp. 507-516 ◽  
Author(s):  
Arja Mainio ◽  
Helinä Hakko ◽  
Asko Niemelä ◽  
John Koivukangas ◽  
Pirkko Räsänen
Keyword(s):  
Brain Tumor ◽  
Prospective Study ◽  
Population Based ◽  
Tumor Patients

Childhood Cancer Survival Trends in Europe: A EUROCARE Working Group Study

2005 ◽  
Vol 23 (16) ◽  
pp. 3742-3751 ◽  
Author(s):  
Gemma Gatta ◽  
Riccardo Capocaccia ◽  
Charles Stiller ◽  
Peter Kaatsch ◽  
Franco Berrino ◽  
...  
Keyword(s):  
Childhood Cancer ◽  
Eastern Europe ◽  
Cancer Survival ◽  
Wilms Tumor ◽  
Germ Cell Tumors ◽  
Cancer Registries ◽  
Population Based ◽  
West Germany ◽  
Cns Tumors ◽  
Childhood Cancer Survival

Purpose EUROCARE collected data from population-based cancer registries in 20 European countries. We used this data to compare childhood cancer survival time trends in Europe. Patients and Methods Survival in 44,129 children diagnosed under the age of 15 years during 1983 to 1994 was analyzed. Sex- and age-adjusted 5-year survival trends for 10 common cancers and for all cancers combined were estimated for five regions (West Germany, the United Kingdom, Eastern Europe, Nordic countries, and West and South Europe) and Europe as a whole. Europe-wide trends for 14 rare cancers were estimated. Results For all cancers combined, 5-year survival increased from 65% for diagnoses in 1983 to 1985 to 75% in 1992 to 1994. Survival improved for all individual cancers except melanoma, osteosarcoma, and thyroid carcinoma; although for retinoblastoma, chondrosarcoma, and fibrosarcoma, improvements were not significant. The most marked improvements (50% to 66%) occurred in Eastern Europe. For common cancers, the greatest improvements were for leukemia and lymphomas, with risk of dying reducing significantly by 5% to 6% per year. Survival for CNS tumors improved significantly from 57% to 65%, with risk reducing by 3% per year. Risk reduced by 4% per year for neuroblastoma and 3% per year for Wilms’ tumor and rhabdomyosarcoma. The survival gap between regions reduced over the period, particularly for acute nonlymphocytic leukemia, CNS tumors, and rhabdomyosarcoma. For rare Burkitt’s lymphoma, hepatoblastoma, gonadal germ cell tumors, and nasopharyngeal carcinoma, risk reductions were at least 10% per year. Conclusion These gratifying improvements in survival can often be plausibly related to advances in treatment. The prevalence of European adults with a history of childhood cancer will inevitably increase.

scholarly journals Improving quality of medical certification of causes of death in health facilities in Tanzania 2014–2019

2021 ◽  
Vol 21 (S1) ◽  
Author(s):  
Trust Nyondo ◽  
Gisbert Msigwa ◽  
Daniel Cobos ◽  
Gregory Kabadi ◽  
Tumaniel Macha ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Health Policy ◽  
Cause Of Death ◽  
Causes Of Death ◽  
Health Facilities ◽  
Mortality Data ◽  
Medical Certification ◽  
Specific Mortality ◽  
Icd 10

Abstract Background Monitoring medically certified causes of death is essential to shape national health policies, track progress to Sustainable Development Goals, and gauge responses to epidemic and pandemic disease. The combination of electronic health information systems with new methods for data quality monitoring can facilitate quality assessments and help target quality improvement. Since 2015, Tanzania has been upgrading its Civil Registration and Vital Statistics system including efforts to improve the availability and quality of mortality data. Methods We used a computer application (ANACONDA v4.01) to assess the quality of medical certification of cause of death (MCCD) and ICD-10 coding for the underlying cause of death for 155,461 deaths from health facilities from 2014 to 2018. From 2018 to 2019, we continued quality analysis for 2690 deaths in one large administrative region 9 months before, and 9 months following MCCD quality improvement interventions. Interventions addressed governance, training, process, and practice. We assessed changes in the levels, distributions, and nature of unusable and insufficiently specified codes, and how these influenced estimates of the leading causes of death. Results 9.7% of expected annual deaths in Tanzania obtained a medically certified cause of death. Of these, 52% of MCCD ICD-10 codes were usable for health policy and planning, with no significant improvement over 5 years. Of certified deaths, 25% had unusable codes, 17% had insufficiently specified codes, and 6% were undetermined causes. Comparing the before and after intervention periods in one Region, codes usable for public health policy purposes improved from 48 to 65% within 1 year and the resulting distortions in the top twenty cause-specific mortality fractions due to unusable causes reduced from 27.4 to 13.5%. Conclusion Data from less than 5% of annual deaths in Tanzania are usable for informing policy. For deaths with medical certification, errors were prevalent in almost half. This constrains capacity to monitor the 15 SDG indicators that require cause-specific mortality. Sustainable quality assurance mechanisms and interventions can result in rapid improvements in the quality of medically certified causes of death. ANACONDA provides an effective means for evaluation of such changes and helps target interventions to remaining weaknesses.

scholarly journals Epidemiology and survival rates of patients with malignant tumors in the Russian Federation

2021 ◽  
Author(s):  
Vakhtang M. Merabishvili
Keyword(s):  
Russian Federation ◽  
Cancer Incidence ◽  
Malignant Tumors ◽  
Survival Rates ◽  
Public Health Problem ◽  
Federal District ◽  
Cancer Registries ◽  
Population Based ◽  
Important Public Health Problem ◽  
The Russian Federation

Malignant tumors remain the most important public health problem in the world, being the second or even the leading cause of death in some countries. Cancer incidence is greatly influenced by the ever-increasing environmental hazards. Population-based Cancer Registries (PCRs) provide necessary data to monitor and assess cancer incidence. PCRs collect obligatory data on incidence rate with time series analysis, mortality and survival rates in patients diagnosed with malignant tumors. The study presents the results of the operation of PCRs as exemplified in the analysis of the PCR of Saint Petersburg and the Northwestern Federal District of the Russian Federation.

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