scholarly journals A Review of Death Certificates Listing Lyme Disease as a Cause of Death in the United States

2010 ◽  
Vol 52 (3) ◽  
pp. 364-367 ◽  
Author(s):  
K. J. Kugeler ◽  
K. S. Griffith ◽  
L. H. Gould ◽  
K. Kochanek ◽  
M. J. Delorey ◽  
...  
2005 ◽  
Vol 120 (3) ◽  
pp. 288-293 ◽  
Author(s):  
Donna L. Hoyert ◽  
Ann R. Lima

Objective. Data from death certificates are often used in research; however, little has been published on the processing of vague or incomplete information reported on certificates. The goal of this study was to examine the querying efforts in the United States used to clarify such records. Methods. The authors obtained data on the querying efforts of the 50 states, New York City, and the District of Columbia. Descriptive statistics are presented for two units of analysis: registration area and death record. Using data from a single registration area, Washington State, the authors compared the percent change in age-adjusted death rates for data from before and after querying to analyze the effect of querying on selected causes of death. Results. Fifty-one of the 52 registration areas queried either demographic or cause-of-death information. Almost 90% of queries were returned; the underlying cause of death changed in approximately 68% of these records. This data translates into about 3% of total U.S. death records, given that 4% of total U.S. death records were queried about cause of death. The impact of queries on age-adjusted death rates varied by cause of death. Generally, the effect is most obvious for cause-of-death categories that are specific and relatively homogenous. Conclusion. Querying continues to be widely practiced. In the case of cause-of-death queries, this method refines the assigned underlying cause of death for records reported with vague or incomplete information.


2020 ◽  
Author(s):  
Harry P Wetzler ◽  
Herbert W Cobb

Background: Weinberger and colleagues estimated that 27,065 of the 122,300 excess deaths in the United States between March 1 and May 30, 2020 did not have a COVID-19 cause of death. Methods: The Centers for Disease Control and Prevention (CDC) post weekly data on mortality for 13 causes of death from the most prevalent comorbid conditions reported on death certificates where COVID-19 was listed as a cause of death. The 2015-2019 data for weeks 10 through 22 were used to forecast the number of deaths from the 13 causes in the absence of COVID-19 during 2020. The forecast was subtracted from the observed number of deaths for each cause during the period March 1 to May 30, 2020. Results: The total of the differences for each of the 13 causes of death, 18,489 deaths, accounts for over two-thirds of the 27,065 excess deaths not due to COVID-19. Conclusion: Combining the 95,235 reported COVID-19 deaths with the 18,489 from the 13 most frequent comorbid conditions reported on death certificates where COVID-19 was a cause suggests that as many as 93% of the excess deaths were due to COVID-19 and implies that COVID-19 deaths were undercounted. Ongoing assessment of excess deaths and causes of death is needed to provide a better understanding of the pandemics dynamics.


2019 ◽  
Vol 19 (3) ◽  
pp. 238-257
Author(s):  
Suresh Antony

Background:In the United States, tick-borne illnesses account for a significant number of patients that have been seen and treated by health care facilities. This in turn, has resulted in a significant morbidity and mortality and economic costs to the country.Methods:The distribution of these illnesses is geographically variable and is related to the climate as well. Many of these illnesses can be diagnosed and treated successfully, if recognized and started on appropriate antimicrobial therapy early in the disease process. Patient with illnesses such as Lyme disease, Wet Nile illness can result in chronic debilitating diseases if not recognized early and treated.Conclusion:This paper covers illnesses such as Lyme disease, West Nile illness, Rocky Mountain Spotted fever, Ehrlichia, Tularemia, typhus, mosquito borne illnesses such as enteroviruses, arboviruses as well as arthropod and rodent borne virus infections as well. It covers the epidemiology, clinical features and diagnostic tools needed to make the diagnosis and treat these patients as well.


Author(s):  
Scott Fulmer ◽  
Shruti Jain ◽  
David Kriebel

The opioid epidemic has had disproportionate effects across various sectors of the population, differentially impacting various occupations. Commercial fishing has among the highest rates of occupational fatalities in the United States. This study used death certificate data from two Massachusetts fishing ports to calculate proportionate mortality ratios of fatal opioid overdose as a cause of death in commercial fishing. Statistically significant proportionate mortality ratios revealed that commercial fishermen were greater than four times more likely to die from opioid poisoning than nonfishermen living in the same fishing ports. These important quantitative findings suggest opioid overdoses, and deaths to diseases of despair in general, deserve further study in prevention, particularly among those employed in commercial fishing.


Stroke ◽  
2011 ◽  
Vol 42 (8) ◽  
pp. 2351-2355 ◽  
Author(s):  
Amytis Towfighi ◽  
Jeffrey L. Saver

1985 ◽  
Vol 151 (6) ◽  
pp. 1144-1149 ◽  
Author(s):  
G. P. Schmid ◽  
R. Horsley ◽  
A. C. Steere ◽  
J. P. Hanrahan ◽  
J. P. Davis ◽  
...  

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S720-S720
Author(s):  
Amy M Beeson ◽  
Grace E Marx ◽  
Amy M Schwartz ◽  
Alison F Hinckley

Abstract Background Lyme disease (LD) is the most common vector-borne disease in the United States and is a significant public health problem. The use of non-standard antibiotic treatment regimens for LD has been associated with adverse effects; however, the overall landscape of treatment has not been described previously. We aimed to describe real-world antibiotic prescribing patterns for LD. Methods We performed a retrospective analysis of the MarketScan commercial claims database of outpatient encounters from 2016-2018 in the United States. We identified all individuals with a visit that included an LD diagnosis code and a prescription within 30 days of the visit for one or more of 12 antibiotics that may be prescribed for LD. We then categorized each individual as having received either standard or non-standard treatment during the two-year period. Standard treatment was defined as treatment with a first, second or third-line antibiotic for LD, for no longer than 30 days, and for no more than two episodes during the study period. Descriptive and multivariable analyses were performed to compare characteristics of people who received standard vs non-standard treatment for LD. Results A total of 84,769 prescriptions met criteria for inclusion, written for 45,926 unique patients. The mean duration of prescriptions was 21.4 days (SD 10.8). Most individuals (84.5%) treated for LD received standard treatment during the study period. Female gender (OR 1.5, p< 0.0001) and age 19-45 (p=0.0003) were significantly associated with being prescribed non-standard LD treatment. Treatment in low-incidence states (OR 2.2 compared to high-incidence states, p< 0.0001) and during non-summer months (OR 2.2, p< 0.0001) was more likely to be non-standard. Age distribution of patients receiving treatment for Lyme disease, by gender and age at first prescription Seasonality of standard versus non-standard treatment of Lyme disease Conclusion In this population of employed, young, and insured patients, young and middle-aged women were at the highest risk of receiving non-standard LD treatment. Treatments prescribed in states with low incidence of LD or during non-summer months were also more likely to be non-standard, a trend which likely reflects misdiagnosis or overtreatment of LD. Future studies are needed to further define prescriber and patient factors associated with non-standard LD treatment and related adverse outcomes. Disclosures All Authors: No reported disclosures


2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Kristen L. Knapp ◽  
Nancy A. Rice

Borrelia burgdorferi, the causative agent of Lyme disease, andBabesia microti, a causative agent of babesiosis, are increasingly implicated in the growing tick-borne disease burden in the northeastern United States. These pathogens are transmitted via the bite of an infected tick vector,Ixodes scapularis, which is capable of harboring and inoculating a host with multiple pathogens simultaneously. Clinical presentation of the diseases is heterogeneous and ranges from mild flu-like symptoms to near-fatal cardiac arrhythmias. While the reason for the variability is not known, the possibility exists that concomitant infection with bothB. burgdorferiandB. microtimay synergistically increase disease severity. In an effort to clarify the current state of understanding regarding coinfection withB. burgdorferiandB. microti, in this review, we discuss the geographical distribution and pathogenesis of Lyme disease and babesiosis in the United States, the immunological response of humans toB. burgdorferiorB. microtiinfection, the existing knowledge regarding coinfection disease pathology, and critical factors that have led to ambiguity in the literature regarding coinfection, in order to eliminate confusion in future experimental design and investigation.


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