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Volume 25, Number 2—February 2019
CME ACTIVITY - Research

Acute and Delayed Deaths after West Nile Virus Infection, Texas, USA, 2002–2012

David C.E. Philpott1, Melissa S. Nolan, Nicole Evert, Bonny Mayes, Dawn Hesalroad, Eric Fonken, and Kristy O. MurrayComments to Author 
Author affiliations: Baylor College of Medicine and Texas Children’s Hospital, Houston, Texas, USA (D.C.E. Philpott, M.S. Nolan, K.O. Murray); Texas Department of State Health Services, Austin, Texas, USA (N. Evert, B. Mayes, D. Hesalroad, E. Fonken)

Cite This Article

Introduction

CME Logo

In support of improving patient care, this activity has been planned and implemented by Medscape, LLC and Emerging Infectious Diseases. Medscape, LLC is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

Medscape, LLC designates this Journal-based CME activity for a maximum of 1.00 AMA PRA Category 1 Credit(s). Physicians should claim only the credit commensurate with the extent of their participation in the activity.

All other clinicians completing this activity will be issued a certificate of participation. To participate in this journal CME activity: (1) review the learning objectives and author disclosures; (2) study the education content; (3) take the post-test with a 75% minimum passing score and complete the evaluation at http://www.medscape.org/journal/eid; and (4) view/print certificate.

Release date: January 17, 2019; Expiration date: January 17, 2020

Learning Objectives

Upon completion of this activity, participants will be able to:

•     Assess short-term mortality outcomes after infection with West Nile virus

•     Distinguish long-term risk factors for mortality after West Nile virus infection

•     Evaluate the risk for long-term mortality associated with West Nile virus infection

•     Analyze causes of long-term mortality associated with West Nile virus infection

CME Editor

Thomas J. Gryczan, MS, Technical Writer/Editor, Emerging Infectious Diseases. Disclosure: Thomas J. Gryczan, MS, has disclosed no relevant financial relationships.

CME Author

Charles P. Vega, MD, Clinical Professor, Health Sciences, Department of Family Medicine, University of California, Irvine School of Medicine, Irvine, California. Disclosure: Charles P. Vega, MD, FAAFP, has disclosed the following relevant financial relationships: served as an advisor or consultant for Johnson & Johnson Pharmaceutical Research & Development, L.L.C.; Shire; and Sunovion Pharmaceuticals Inc.; served as a speaker or a member of a speakers bureau for Shire.

Authors

Disclosures: David C.E. Philpott, MD, MPH; Melissa S. Nolan, MPH, PhD; Nicole Evert, MS; Bonny Mayes, MA; Dawn Hesalroad, MEd; Eric Fonken, DVM, MPAff; and Kristy O. Murray, DVM, PhD, have disclosed no relevant financial relationships.

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Abstract

Infection with West Nile virus (WNV) has a well-characterized acute disease process. However, long-term consequences are less understood. We searched death records for 4,142 residents of Texas, USA, infected with WNV during 2002–2012 and identified 557 (13%) deaths. We analyzed all-cause and cause-specific deaths after WNV infection by calculating standardized mortality ratios and using statewide mortality data. Acute-phase deaths (<90 days after symptom onset) occurred in 289 (7%) of case-patients; of those deaths, 289 (92%) were cases of West Nile neuroinvasive disease (WNND). Convalescent-phase deaths (>90 days after symptom onset) occurred in 268 (7%) of the remaining 3,853 case-patients; 210 (78%) of these deaths occurred in patients with WNND. Convalescent-phase WNND case-patients showed excess deaths from infectious and renal causes; case-patients <60 years of age had increased risk for all-cause death, specifically from renal, infectious, digestive, and circulatory causes. We provide population-level evidence of increased risk for death after WNV infection resulting in WNND.

West Nile virus (WNV) is an arbovirus that can result in severe disease and death in humans. Since the first outbreak of infection with this virus in the United States during 1999, it has emerged across the country and resulted in >46,000 clinical cases of infection across all contiguous states (1). Uncomplicated febrile illness, known as West Nile fever (WNF), will develop in 20% of persons acutely infected, and severe West Nile neuroinvasive disease (WNND) will develop in <1% (2). Acute WNV infection can cause substantial long-term disability resulting in neurologic, neuropsychologic, and kidney disease outcomes; higher risks for poor outcome are associated with a diagnosis of WNND (39). In addition to continual illness, evidence from 2 small cohorts suggested that WNV can result in excessive deaths (10,11).

Death registry–based linkage studies on other virus diseases, such as hepatitis, have characterized the patterns and risk for death at the population level (1215). We used a similar death registry–based method to describe specific causes of death for WNV case-patients to determine whether this population shows excess death years after initial onset. We analyzed acute-phase and convalescent-phase specific causes of death in WNV case-patients given a diagnosis in Texas, USA, during 2002–2012 to determine whether persons with WNV had an increased risk for death than the general population. Our study objectives were to 1) describe causes of death in our population and identify any potential covariates, with particular attention to age because it is a known risk factor for severe disease; 2) compare all-cause and cause-specific mortality rates with those of the underlying Texas population by using standardized mortality ratios (SMRs); and 3) examine yearly deaths for WNV-infected case-patients as they progress through time.

Methods

Study Population

In Texas, WNV infections are reported to the Texas Department of State Health Services (TXDSHS) by a passive surveillance system and coded by using standard case definitions for neuroinvasive and nonneuroinvasive diseases (16). WNND includes meningitis, encephalitis, meningoencephalitis, and acute flaccid paralysis; non-WNND includes only WNF. Asymptomatic viremic blood donors were not included in the available TXDSHS database. During July 3, 2002–December 6, 2012, a total of 4,162 WNV cases were reported to TXDSHS; 4,142 cases had complete data on age and US Social Security numbers and were included in our analysis.

We linked the WNV case dataset of TXDSHS to the Texas Death Registry by using Social Security numbers. All deaths identified through December 31, 2012 in the registry were included in this study, regardless of cause or timing of death. Death records were abstracted for age, sex, race, date of death, and underlying cause of death by the International Classification of Diseases, 10th Revision (ICD-10), code listed on the death certificate. Underlying cause of death is defined by the National Center for Health Statistics as “the disease or injury which initiated the train of morbid events leading directly to death or the circumstances of the accident or violence which produced the fatal injury” (17).

We chose underlying cause of death because it is commonly used in death studies and because it indicates what the clinician believed was the major cause of death, even accounting for other concurrent illnesses that might also have contributed to the death of a given individual. In addition, because data were incomplete for contributing and immediate causes of death, we were unable to obtain reliable estimates for these causes. Underlying causes of death were grouped according to ICD-10 chapters: infectious, renal, neoplasms, blood/immune, endocrine, nervous, circulatory, respiratory, digestive, genitourinary, other, and external forces. Twenty-four deaths did not have cause of death data and were excluded from specific cause of death analysis; however, all 24 of these persons died during first 88 days after infection, and thus their exclusion did not affect cause-specific death analysis. In addition, 151/557 deaths did not include an ICD-10 code for cause of death; however, records for 127/151 of those case-patients included written cause of death data corresponding to an ICD-10 code that we then added to our dataset.

Statistical Analyses

We calculated survival time for each patient in person-years from the date of acute WNV onset and ended at either reported date of death or on December 31, 2012. We computed Kaplan-Meier survival curves and stratified by diagnosis of WNND. To identify covariates in our data associated with death, we used Cox proportional hazards regression to determine hazard ratios (HRs) for WNND, age, race, and sex on survival. All variables were coded as nominal variables except age at onset, which was coded as an ordinal variable with 10-year age groupings. We used a backward selection technique to construct a multivariable model. Covariates with p<0.2 were included in multivariable analysis, and variables with p<0.05 were retained in the final model.

Testing of the validity of the proportional hazards assumption by log-log plots and Schoenfeld residuals indicated that the hazard caused by WNND was not constant over time. Therefore, we divided our study population into an acute phase of deaths that occurred within the first 90 days of WNV symptom onset and a convalescent phase of deaths that occurred after the first 90 days of symptom onset. We retained this division for all subsequent analyses because it is standard in chronic death studies. We then developed a Cox model of deaths occurring in the convalescent phase and verified that it met the proportional hazards assumption.

We calculated descriptive statistics to describe acute-phase deaths. We then compared convalescent-phase deaths with those in the Texas population by using SMRs. We obtained all-cause and ICD-10 chapter–specific underlying cause mortality rates for Texas by using the Centers for Disease Control and Prevention WONDER database for calendar years 2002–2012 (18). We adjusted for age group, sex, and calendar year and used age group and calendar year as time-varying covariates. We calculated the expected number of deaths in the population by multiplying the person-years by the calendar year–specific and age-specific Texas mortality rates. If a Texas rate was suppressed in the database because of low cell counts, we used US mortality rates.

We then calculated all-cause and cause-specific SMRs and stratified by WNND disease status, age group, and follow-up year. With regards to age grouping, we first stratified by 10-year intervals, then divided the population as >60 and <60 years of age because previous studies found a major increase in severe disease and death risk for persons >60 years of age (1921). We computed all statistics and survival curves by using Stata software version 15 (https://www.stata.com).

Ethics Considerations

This study was approved by the TXDSHS Institutional Review Board (#13–060). Because data transferred from TXDSHS to Baylor College of Medicine for analysis had all identifying information removed, the study was determined exempt by the Baylor College of Medicine Institutional Review Board (H-32097).

Results

During July 3, 2002–December 31, 2012, a total of 557 (13.4%) deaths occurred among the 4,142 WNV case-patients reported to TXDSHS (Table 1). Time to death ranged from 0 to 3,765 days after onset of symptoms of WNV infection (median 73 days).

Acute-Phase Deaths

Figure 1

Thumbnail of Causes of death in acute cases (within 90 days of WNV disease onset) by condition, Texas, USA, 2002–2012. Most deaths were related to infectious causes (International Classification of Diseases, 10th Revision [ICD10], chapters A00–B99), with a subset of those specifically stating a diagnosis of WNV infection (ICD-10 code A923). Both causes are included in this figure. WNV, West Nile virus.

Figure 1. Causes of death in acute cases (within 90 days of WNV disease onset) by condition, Texas, USA, 2002–2012. Most deaths were related to infectious causes (International Classification of Diseases, 10th Revision...

Approximately half of the deaths (n = 289, 51.9%) occurred during the acute phase after WNV symptom onset. Most (n = 267, 92.4%) of these deaths occurred among WNND case-patients (median age at onset 75 years). For case-patients who died during the acute phase, the most common underlying cause of death was infectious (181 deaths; 62.6%); 142 deaths (49.1%) were specifically attributed to complications from WNV infection (ICD-10 code A923) (Figure 1).

Convalescent-Phase Deaths

During the convalescent phase, 268 (7.0%) patients died. Most deaths occurred in case-patients with WNND (210/2,112; case-fatality rate 9.9%). This rate was much higher than the case-fatality rate of 3.3% for patients with non-WNND (58/1,741). WNND case-patients contributed 9,573 total years of follow-up time (median 4.37 years/patient), and non-WNND case-patients contributed 5,772 total years (median 0.46 years/patient). The median time elapsed from symptom onset until death was 3.0 years for convalescent-phase WNND patients and 4.1 years for non-WNND case-patients. The disparity in follow-up time between WNND and non-WNND case-patients occurred because a larger proportion of non-WNND case-patients were reported later in the study period. Specifically, 58.1% of non-WNND case-patients were reported in 2012 compared with 35.4% of WNND case-patients.

Figure 2

Thumbnail of Kaplan-Meier survival curve for case-patients infected with West Nile virus, Texas, USA, 2002–2012, stratified by severity of presenting illness (deaths within 90 days excluded).

Figure 2. Kaplan-Meier survival curve for case-patients infected with West Nile virus, Texas, USA, 2002–2012, stratified by severity of presenting illness (deaths within 90 days excluded).

We constructed Kaplan-Meier curves comparing deaths for WNND case-patients and deaths for non-WNND case-patients (Figure 2). We found by Cox proportional hazards regression strong associations for death with WNND (HR 1.67, 95% CI 1.24–2.23), age at symptom onset (HR 1.63, 95% CI 1.53–1.75/10-year increase), black race (HR 1.68, 95% CI 1.12–2.52), and male sex (HR 1.42, 95% CI 1.10–1.84).

Among deaths that occurred during the convalescent phase, the incidence of death from any cause for WNND case-patients was much higher per 10,000 person-years (rate 219.4, 95% CI 191.6–251.1) than for non-WNND case-patients(100.5, 95% CI 77.7–129.9). All-cause deaths for WNND case-patients were not increased compared with deaths for the Texas population (SMR 1.13) (Table 2). Conversely, all-cause deaths for non-WNND case-patients were reduced compared with deaths for the Texas population (SMR 0.72, 95% CI 0.55–0.93).

When we examined cause-specific deaths (Table 2), non-WNND cases were not different for any cause when compared with those in the Texas population. However, among WNND cases, we found increased mortality rates caused by infectious (SMR 4.74) and genitourinary (SMR 2.41) complications. Deaths from infections were caused by primarily WNV complications (ICD-10 code A923, 13/26 deaths), sepsis caused by an unspecified organism (A419, 5/26 deaths), or sequelae of other specified infectious diseases (B948, 4/26 deaths). Deaths from infectious causes occurred at a median of 0.60 years (range 0.25–6.70 years) after symptom onset. Most (11/13) deaths from genitourinary causes were specifically from renal causes (ICD-10 codes N00–N19), which had an increased SMR of 2.59. Renal deaths were caused by chronic kidney disease (ICD-10 code N18, 8/11 deaths), unspecified kidney failure (N19, 2/11 deaths), chronic nephritic syndrome (N039, 1/11 deaths), and acute kidney failure (N179, 1/11 deaths). Deaths caused by renal disease occurred a median of 4.03 years (range 1.36–10.3 years) after symptom onset.

Figure 3

Thumbnail of SMRs by age at onset of persons with West Nile virus infection, Texas, USA, 2002–2012. SMRs were adjusted for current age, sex, and calendar year. Deaths and SMRs were calculated only for case-patients with information about age available and in whom death occurred &gt;90 days after symptom onset. SMR = 1 when there is no increased risk. *Indicates where a 95% CI does not include 1. SMR, standardized mortality ratio.

Figure 3. SMRs by age at onset of persons with West Nile virus infection, Texas, USA, 2002–2012. SMRs were adjusted for current age, sex, and calendar year. Deaths and SMRs were calculated only...

When we stratified by 10-year age groups at onset (Figure 3), we found that for WNND case-patients, all-cause SMRs were considerably increased for age groups <60 years; SMRs were 2.18 (95% CI 1.04–4.56) for persons <40 years of age, 1.73 (95% CI 1.00–2.97) for persons 40–49 years of age, and 2.06 (95% CI 1.46–2.92) for persons 50–59 years of age. All-cause deaths were also increased for persons 60–69 years of age (SMR 1.41, 95% CI 1.06–1.87). For non-WNND case-patients, deaths were lower for persons >70 years of age at symptom onset (SMR 0.69, 95% CI 0.46–0.94).

We divided the WNND case deaths into 2 groups to examine cause-specific deaths for patients <60 years of age and for those >60 of age at disease onset (Table 3). The absolute mortality rate was higher in persons >60 years of age (444.7 deaths/10,000 person-years, 95% CI 380.5–519.8 deaths/10,000 person-years) than in persons <60 years of age (86.4 deaths/10,000 person-years, 95% CI 65.8–113.4 deaths/10,000 person-years). However, all-cause deaths for persons <60 years of age was nearly twice the rate for the entire population of Texas (SMR 1.98). Deaths from infectious causes was increased in both age groups (SMRs 5.33 persons >60 years of age, 4.55 for persons <60 years of age). For patients <60 years of age, we found major increases in deaths from renal (SMR 11.37), mental and behavioral (SMR 6.28), digestive (SMR 3.87), and circulatory (SMR 2.02) causes.

When we stratified by year of follow-up, we found that SMRs were not increased in any year for non-WNND case-patients; however, we did see a difference among WNND case-patients. We identified a statistically significant increase in SMR for all WNND case-patients in the first year after infection (SMR 1.75, 95% CI 1.32–2.32; p<0.001); this increase continued into years 2 (SMR 1.15) and 3 (SMR 1.33), but not at a statistically significant level.

Figure 4

Thumbnail of SMRs for case-patients with WNND by year of follow-up stratified by age at symptom onset, Texas, USA, 2002–2012. SMRs were adjusted for current age, sex, and calendar year. Deaths and SMRs were calculated only for case-patients with information about age available and in whom death occurred &gt;90 days after symptom onset. SMR = 1 when there is no increased risk. *Indicates where a 95% CI does not include 1. SMR, standardized mortality ratio; WNND, West Nile neuorinvasive disease.

Figure 4. SMRs for case-patients with WNND by year of follow-up stratified by age at symptom onset, Texas, USA, 2002–2012. SMRs were adjusted for current age, sex, and calendar year. Deaths and SMRs...

We then repeated our analysis while stratifying WNND case-patients >60 years of age and those <60 years of age at symptom onset (Figure 4). For case-patients >60 of age, we found increased deaths in the first year after symptom onset (SMR 1.55, 95% CI 1.13–2.14) but not in subsequent years. However, for case-patients <60 years of age, we found increased mortality rates, more than twice the full Texas population rate, until 5 years after WNV infection; deaths were only slightly increased during year 6. Specifically, SMRs were 3.2 (95% CI 1.8–5.8; p = 0.0001) in year 1, 2.4 (95% CI 1.1–5.0; p = 0.002) in year 2, 2.7 (95% CI 1.3–5.4; p = 0.006) in year 3, 2.0 (95% CI 0.9–4.5; p = 0.09) in year 4, and 2.6 (95% CI 1.3–5.3; p = 0.008) in year 5. This increase reached statistical significance in 4 of the 6 years (years 1, 2, 3, and 5).

Discussion

We present population-level evidence of excess acute and delayed deaths for a large sample size of case-patients with a history of WNV infection resulting in WNND. Across our full sample, although we did not find increased all-cause mortality rates at a significant level, we did find that deaths from renal and infectious causes for WNND case-patients occurred at a higher rate than would be expected for the full population of Texas. When we stratified by age, we found a major increased risk for all-cause death for case-patients who were <60 years of age at the time of symptom onset. The greatest risks for death in this group were attributed to renal, infectious, digestive, and circulatory causes.

Our data provide further evidence supporting excess illness and death years after WNV infection resulting from WNND. In addition, we found that reported case-patients with non-WNND had all-cause mortality rates that were lower than the Texas population rate. Our study is unique when compared with previous cohort studies because our large sample size enabled us to explore the progression of deaths for WNV case-patients over a greater period, stratify by age group, stratify by disease presentation, and examine cause-specific deaths (10,11).

In our study, we found that among persons given a diagnosis of WNND, deaths from renal causes occurred at 2.5 times the rate for the Texas population. Furthermore, when stratifying by age, we found that persons <60 years of age had an 11 times greater risk for dying from renal causes. Deaths caused by kidney disease occurred at median of 4 years after infection, and most were caused by chronic kidney disease (CKD). If one considers that almost half of all of the case-patients in the dataset were infected in 2012, we have comparatively much less follow-up data for later years, when these delayed deaths could occur. It will be useful to conduct a follow-up study on the 2012 cases to determine whether this major finding will continue to be evident.

Increased risk for death from renal causes certainly warrants further investigation. In previous studies that investigated risk factors for WNND, renal disease was not found to be significant (22); however, traditional risk factors for CKD (advanced age, hypertension, and diabetes) were found to be associated with WNND. In 1 study, a history of renal disease was found to be associated with an increased risk for death during the acute phase of WNV illness. It is possible that underlying concurrent conditions that increase the risk for WNND in our population could also contribute to death related to renal causes. Unfortunately, our method of only collecting data from death certificates did not enable us to fully examine the medical history. This examination would be critical to further evaluate because previous studies that involved animal models found evidence of persistent WNV infection in renal tissue (2326). A study from a Houston WNV cohort isolated WNV RNA from the urine of 5 study participants with a history of WNND (27). In a separately published study, Nolan et al. identified CKD in 40% of cohort participants, with history of WNND being the sole independent predictor for CKD as opposed to traditional risk factors (i.e., hypertension, diabetes, or being >65 years of age) (8), in comparison with a prevalence of kidney disease in only 8% of patients in this cohort during the acute phase of WNV disease onset (20). Although detection of persistent infection of the kidneys in humans has been controversial (28), the findings of our study of increased mortality rates from renal causes, particularly CKD, and median renal death occurring 4 years postinfection lends support to studies that have identified renal disease as a possible sequelae of infection with WNV.

WNND case-patients <60 years of age at the time of symptom onset had mortality rates twice the rate expected for the Texas population. These younger patients had excess deaths from renal causes (>11 times) and infectious causes (>5 times) compared with deaths among the general population. In addition, these patients had excess deaths from mental and behavioral, circulatory, and digestive system causes. Conversely, patients >60 years of age at symptom onset had all-cause mortality rates similar to those for the Texas population. However, mortality rates for infectious causes were ≈5 times those for the Texas population. The finding that the convalescent-phase mortality rate was increased for younger patients was unexpected because advanced age is known to be a risk factor for death from infection with WNV during the acute phase of the disease. It will be helpful to expand this study to review these case-patients and determine whether concurrent conditions, particularly hypertension or immunosuppression (28), could contribute to the risk for severity of WNV disease and, thereby, increased risk for death.

The pattern through time indicated increased mortality rates for all WNND case-patients for the first year after symptom onset, even after excluding deaths within the first 90 days. WNND case-patients died from infectious causes at >5 times the expected rate, and deaths occurred primarily during the first 2 years: half (13/26) of these deaths were coded as caused by WNV infection, and 4 were attributed to sequelae of other specified infectious disease. Similar results have been reported in cohort studies in Colorado, USA (10), and in Israel (11), in which increased mortality rates were observed within the first year after infection and there was some evidence of later delayed deaths that did not reach statistical significance.

Non-WNND case-patients unexpectedly had mortality rates lower than those for the Texas population. The reasons for this finding are not clear. However, the population that seeks care resulting in a non-WNND diagnosis might be healthier than the general Texas population. In our study, half of the non-WNND case-patients were given a diagnosis during 2012, which was during an outbreak in Texas that was larger than any previously recorded and well publicized in the media (21). Because of increased awareness, more healthy persons might have sought care resulting in a diagnosis of non-WNND.

Our study had several limitations. First, because of our register-based method, we were unable to assess previous concurrent conditions in the study population. Major known contributory concurrent conditions from previous mortality studies include dementia, cardiovascular disease, hepatic disease, immunodeficiency, autoimmune disease, use of tobacco, alcoholism, and intubation during acute WNV illness (10,11). The increased mortality rate we observed in younger patients might be caused by this population being less healthy than the underlying Texas population and possessing >1 of these risk factors. This hypothesis is supported by the increased mortality rate for infectious, circulatory, and digestive system causes among younger case-patients. However, for these younger case-patients, deaths from renal causes were most increased in comparison with those for the Texas population, and deaths from infectious causes were primarily the result of direct WNV infection or sequelae of WNV infection. Moreover, when examined within the context of the whole study population, we found that deaths from renal and infectious causes remained higher than those for the Texas population, although all other causes were not. Analysis of contributing cause of death data might enable greater assessment of concurrent conditions for deaths caused by WNV.

Second, our study might have undercounted deaths in our population because of effects of interstate and international migration. We were only able to obtain death certificate data for WNV case-patients who died in Texas. Thus, we are likely underestimating the SMRs in our population, given substantial levels of migration in and out of Texas. Finally, our study has limited generalizability: <1% of WNV infections result in WNND, and most of these patients are elderly (>60 years of age) (2). We found mortality rates to be most increased in younger patients with WNND and found no evidence of deaths for case-patients with a history of WNF.

In conclusion, arboviruses continue to be an emerging global threat, and defining the long-term consequences of WNV is critical. We present population-level evidence for increased risk for death, particularly for patients <60 of age who have a history of WNND. For these patients, excess deaths were related to infectious and renal causes, and excess all-cause deaths were evident for <5 years after onset of symptoms. No specific treatment is available for WNV infection; therefore, prevention of infection is key, either through education efforts to encourage avoiding mosquito bites, comprehensive mosquito surveillance and control, or a greater emphasis on developing an effective vaccine. WNND patients should be closely followed by clinicians to prevent future health problems.

Dr. Philpott is a first-year pediatrics resident at Johns Hopkins Children’s Center, Baltimore, MD. His research interests are health services research and infectious diseases.

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Acknowledgment

This study was supported by the National Institute of Allergy and Infectious Diseases/National Institutes of Health (grant R01 AI091816-01).

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  20. Murray  K, Baraniuk  S, Resnick  M, Arafat  R, Kilborn  C, Cain  K, et al. Risk factors for encephalitis and death from West Nile virus infection. Epidemiol Infect. 2006;134:132532. DOIPubMed
  21. Murray  KO, Ruktanonchai  D, Hesalroad  D, Fonken  E, Nolan  MS. West Nile virus, Texas, USA, 2012. Emerg Infect Dis. 2013;19:18368. DOIPubMed
  22. Yeung  MW, Shing  E, Nelder  M, Sander  B. Epidemiologic and clinical parameters of West Nile virus infections in humans: a scoping review. BMC Infect Dis. 2017;17:609. DOIPubMed
  23. Saxena  V, Xie  G, Li  B, Farris  T, Welte  T, Gong  B, et al. A hamster-derived West Nile virus isolate induces persistent renal infection in mice. PLoS Negl Trop Dis. 2013;7:e2275. DOIPubMed
  24. Tesh  RB, Siirin  M, Guzman  H, Travassos da Rosa  AP, Wu  X, Duan  T, et al. Persistent West Nile virus infection in the golden hamster: studies on its mechanism and possible implications for other flavivirus infections. J Infect Dis. 2005;192:28795. DOIPubMed
  25. Tonry  JH, Xiao  S-Y, Siirin  M, Chen  H, da Rosa  AP, Tesh  RB. Persistent shedding of West Nile virus in urine of experimentally infected hamsters. Am J Trop Med Hyg. 2005;72:3204. DOIPubMed
  26. Pogodina  VV, Frolova  MP, Malenko  GV, Fokina  GI, Koreshkova  GV, Kiseleva  LL, et al. Study on West Nile virus persistence in monkeys. Arch Virol. 1983;75:7186. DOIPubMed
  27. Murray  K, Walker  C, Herrington  E, Lewis  JA, McCormick  J, Beasley  DW, et al. Persistent infection with West Nile virus years after initial infection. J Infect Dis. 2010;201:24. DOIPubMed
  28. Gibney  KB, Lanciotti  RS, Sejvar  JJ, Nugent  CT, Linnen  JM, Delorey  MJ, et al. West nile virus RNA not detected in urine of 40 people tested 6 years after acute West Nile virus disease. J Infect Dis. 2011;203:3447. DOIPubMed

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Earning CME Credit

To obtain credit, you should first read the journal article. After reading the article, you should be able to answer the following, related, multiple-choice questions. To complete the questions (with a minimum 75% passing score) and earn continuing medical education (CME) credit, please go to http://www.medscape.org/journal/eid. Credit cannot be obtained for tests completed on paper, although you may use the worksheet below to keep a record of your answers.

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Only one answer is correct for each question. Once you successfully answer all post-test questions, you will be able to view and/or print your certificate. For questions regarding this activity, contact the accredited provider, CME@medscape.net. For technical assistance, contact CME@medscape.net. American Medical Association’s Physician’s Recognition Award (AMA PRA) credits are accepted in the US as evidence of participation in CME activities. For further information on this award, please go to https://www.ama-assn.org. The AMA has determined that physicians not licensed in the US who participate in this CME activity are eligible for AMA PRA Category 1 Credits™. Through agreements that the AMA has made with agencies in some countries, AMA PRA credit may be acceptable as evidence of participation in CME activities. If you are not licensed in the US, please complete the questions online, print the AMA PRA CME credit certificate, and present it to your national medical association for review.

Article Title:
Acute and Delayed Deaths after West Nile Virus Infection, Texas, USA, 2002–2012

CME Questions

1.   You are seeing a 55-year-old man with a history of hypertension. He complains of 3 days of fever, malaise, and headache. After a thorough workup, you diagnose him with West Nile fever. On the basis of the current study by Philpott and colleagues, what can you tell him regarding the short-term risk for mortality associated with this infection?

A.  Nearly 80% of all deaths occurred in the acute phase

B.  Most acute deaths were in West Nile neuroinvasive disease (WNND) cases

C.  The median age of acutely fatal cases was 55 years

D.  The most common cause of acute death was cardiovascular

2.   The patient develops WNND, but survives the acute infection. According to the results of the current study, which one of the following was a significant risk factor for mortality in the long-term?

A.  White race

B.  WNND

C.  Female sex

D.  Younger age

3.   Which one of the following statements regarding the risk for long-term mortality among patients with West Nile virus infection in the current study is most accurate?

A.  Any West Nile virus infection was associated with a higher risk for mortality compared with the general population

B.  Only WNND was associated with a higher risk for mortality compared with the general population

C.  Only non-WNND was associated with a higher risk for mortality compared with the general population

D.  Non-WNND was associated with a lower risk for mortality compared with the general population

4.   Which of the following causes of mortality were significantly increased among WNND cases in the current study?

A.  Cardiovascular and pulmonary

B.  Infectious and genitourinary

C.  Gastrointestinal and cancer

D.  Cardiovascular and cancer

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Cite This Article

DOI: 10.3201/eid2502.181250

Original Publication Date: 1/17/2019

1Current affiliation: Johns Hopkins Children’s Center, Baltimore, Maryland, USA.

Related Links

Table of Contents – Volume 25, Number 2—February 2019

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Please use the form below to submit correspondence to the authors or contact them at the following address:

Kristy O. Murray, National School of Tropical Medicine, Baylor College of Medicine, 1102 Bates St, Ste 550, Houston, TX 77030, USA

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Page created: January 17, 2019
Page updated: January 17, 2019
Page reviewed: January 17, 2019
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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