scholarly journals Environmental and Behavioral Risk Factors for Severe Leptospirosis in Thailand

2019 ◽  
Vol 4 (2) ◽  
pp. 79 ◽  
Author(s):  
Soawapak Hinjoy ◽  
Somkid Kongyu ◽  
Pawinee Doung-Ngern ◽  
Galayanee Doungchawee ◽  
Soledad D. Colombe ◽  
...  
Keyword(s):  
Risk Factors ◽  
Clinical Symptoms ◽  
Rubber Tree ◽  
Case Fatality ◽  
Hospitalized Patients ◽  
Severe Illness ◽  
Tree Plantation ◽  
Clinical Criteria ◽  
Increased Risk ◽  
Severe Leptospirosis

A nationwide prevention and control campaign for leptospirosis in Thailand has led to a decreased incidence rate, but the mortality and case fatality rates have remained stable. Regarding the limited knowledge of risk factors, a case-control study of the association between environmental and behavioral exposure with severe leptospirosis was implemented to identify the risk factors among adults in Thailand. The study was conducted in 12 hospital-based sites. Hospitalized patients with suspected clinical symptoms of leptospirosis were tested for leptospirosis by culture, loop mediated isothermal amplification (LAMP), real-time PCR, and the microscopic agglutination test (MAT). All participants answered a standardized questionnaire about potential risk factors. Risk factors were identified by univariable and multivariable logistic regression. Of the 44 confirmed cases, 33 (75.0%) presented with severe illness, as determined by clinical criteria, and were categorized as severe cases. Non-severe cases were defined as patients with non-severe symptoms of leptospirosis. Living nearby a rubber tree plantation (adjusted OR 11.65, 95% CI 1.08–125.53) and bathing in natural bodies of water (adjusted OR 10.45, 95% CI 1.17–93.35) were both significantly associated with an increased risk of severe leptospirosis. We recommend designating rubber plantations in Thailand as high-risk zones and closely monitoring hospitalized patients in those areas.

Risk factors for hospitalization for cancer patients with SARS-CoV-2 infection.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18753-e18753
Author(s):  
Zainab Shahid ◽  
Emily Baldrige ◽  
Sally Trufan ◽  
Courtney Schepel ◽  
Antoinette R. Tan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Cancer Patients ◽  
Cardiac Disease ◽  
Case Fatality ◽  
Ambient Air ◽  
Hospitalized Patients ◽  
Presenting Symptoms ◽  
Chronic Lung Diseases ◽  
Increased Risk

e18753 Background: Cancer patients are more susceptible to developing severe disease associated with SARS-CoV-2 infection. Herein, data from a high-volume cancer center is presented highlighting risk factors associated with hospitalization with COVID-19 disease. Methods: Cancer patients in the Levine Cancer Institute COVID19 database who were tested for SARS-CoV-2 due to clinical illness from March 1, 2020 to October 29, 2020 with 90 days follow-up are described here. Patients’ demographic and clinical information were retrospectively entered into a REDCap database from chart reviews. Differences in distributions were identified between hospitalized and non-hospitalized patients using the chi-squared test with uni- and multivariable logistic regression models. Statistical significance was set at p<0.05. Results: 228 patients with SARS-CoV-2 infection were identified, of whom 103 (45%) were hospitalized. Median age was 63 years (range 28-95). Race distribution for infection showed White 65%, followed by Black 26.8% and Hispanic ethnicity 16.7% , with a similar distribution for hospital admission. Median length of stay was 10 days (range 1-91) with no readmissions within 90 days. The most common underlying malignancies were breast (29.8%), hematologic (21.1%) and genitourinary (12.3%). The most common preexisting conditions included hypertension (55.7%), diabetes (27.2%) and cardiac disease (3.9%). The most common presenting symptoms were cough (50.2%), fever (38.4%), fatigue (37.8%) and shortness of breath (36.4%). Maximum oxygen requirements for hospitalized patients were ambient air (34%), nasal canula (34%), high/medium flow nasal canula (10%), non-invasive ventilation (13%) and mechanical ventilation (10%). Case fatality rate was 10% with diagnosis of COVID-19, including 21.4% of those admitted to the hospital and 51.7% of those admitted to the ICU. Univariable logistic regression analysis showed that age, sex, prior chemotherapy, upper gastrointestinal cancers, hematologic cancers, number of medical conditions, cardiac disease, chronic lung diseases, hypertension, and diabetes increased risk of hospitalization. Table shows results of multivariate analysis. Conclusions: The COVID-19 pandemic has caused high case fatality rates in our cancer patients. We identified age, cardiac disease, hematologic malignancy and receipt of chemotherapy within 4 weeks of diagnosis as risk factors for hospitalization. These data may help in prioritizing early intervention in vulnerable subgroups to improve survival outcomes. [Table: see text]

Abstract 16010: Congestive Heart Failure and Coronavirus Disease 2019 Illness Severity

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Max Ruge ◽  
Joanne Michelle D Gomez ◽  
Gatha G Nair ◽  
Setri Fugar ◽  
Jeanne du Fay de Lavallaz ◽  
...  
Keyword(s):  
Heart Failure ◽  
At Risk ◽  
Congestive Heart Failure ◽  
Case Fatality ◽  
Severity Of Illness ◽  
Severe Infection ◽  
Severe Illness ◽  
Increased Risk ◽  
History Of ◽  
Male Sex

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has killed hundreds of thousands worldwide. Those with cardiovascular disease represent a vulnerable population with higher risk for contracting COVID-19 and worse prognosis with higher case fatality rates. Congestive heart failure (CHF) may lead to worsening COVID-19 symptoms. However, it is unclear if CHF is an independent risk factor for severe COVID-19 infection or if other accompanying comorbidities are responsible for the increased risk. Methods: From March to June 2020, data was obtained from adult patients diagnosed with COVID-19 infection who were admitted in the Rush University System for Health (RUSH) in Illinois. Heart failure patients, determined by ICD code assignments extracted from the electronic medical records, were identified. Multivariable logistic regression was performed between predictor variables and a composite outcome of severe infection consisting of Intensive Care Unit (ICU) admission, intubation, or in-hospital mortality. Results: In this cohort (n=1136), CHF [odds ratio (OR) 1.02] alone did not predict a more severe illness. Prior myocardial infarction [(MI), OR 3.55], history of atrial fibrillation [(AF), OR 2.14], and male sex (OR 1.55) were all significantly (p<0.001) associated with more severe COVID-19 illness course when controlling for CHF (Figure 1). In the 178 CHF patients, more advanced age (68.8 years vs. 63.8 years; p<0.05) and female sex (54.5% vs. 39.1%; p<0.05) were associated with increased severity of illness. Conclusions: Prior MI, history of AF, and male sex predicted more severe COVID-19 illness course in our cohort, but pre-existing heart failure alone did not. However, CHF patients who are females and older in age are at risk for severe infection. These findings help clinicians identify patients with comorbidities early at risk for severe COVID-19 illness.

scholarly journals Risk Factors of SARS-CoV-2 Infection: Global Epidemiological Study

JMIRx Med ◽  
10.2196/28843 ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. e28843 ◽  
Author(s):  
William Alphonse Barletta
Keyword(s):  
Risk Factors ◽  
Case Fatality ◽  
Physiological Basis ◽  
Public Health Agencies ◽  
The Public ◽  
Physical Conditions ◽  
Clinical Observations ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
Cross Correlations

Background Since the first recognition of the pandemic characteristics of SARS-CoV-2 infection, and before substantial case fatality data were available worldwide, public health agencies warned the public about the increased dangers of SARS-CoV-2 to persons with a variety of underlying physical conditions, many of which are more commonly found in persons over 50 years of age or in certain ethnic groups. Objective To investigate the statistical rather than the physiological basis in support of the abovementioned warnings, this study examines correlations globally on a nation-by-nation basis between the statistical data concerning COVID-19 fatalities and the statistics of potential comorbidities that may influence the severity of infection. Methods This study considers the statistics describing the populations of the 99 countries with the greatest numbers of SARS-CoV-2 infections at the time of the data cutoff. As national compilations of direct measures of immune system strength are not publicly available, the frequency of fatalities in those countries due to a variety of serious diseases is used as a proxy for the susceptibility of those populations to those same diseases. Results The analysis produces plots and calculations of correlations and cross-correlations of COVID-19 case fatality rates and the risks of other potential cofactors. It exposes some reasons that may underlie the degree to which advanced age increases the risk of mortality of infection with SARS-CoV-2. In contrast with the strong influences of comorbidities on the seriousness of consequences of influenzas and their associated pneumonias, the correlations of the same set of risk factors with SARS-CoV-2 infection are considerably weaker. The general characteristics of the observed correlations strengthened through 3 cycles of analysis, starting in September 2020. The strongest correlations were with chronic kidney disease and coronary disease (approximately 0.28 and 0.20, respectively). Conclusions This study confirms early clinical observations that infection with SARS-CoV-2 presents an increased risk to persons over the age of 65 years. It does not support the suggestions presented by government agencies early in the pandemic that the risks are much greater for persons with certain common potential comorbidities.

scholarly journals Clinical Characteristics and Outcomes of COVID-19–Infected Cancer Patients: A Systematic Review and Meta-Analysis

2020 ◽  
Author(s):  
Hua Zhang ◽  
Han Han ◽  
Tianhui He ◽  
Kristen E Labbe ◽  
Adrian V Hernandez ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Case Fatality Rate ◽  
Meta Analysis ◽  
Univariate Analysis ◽  
Case Fatality ◽  
The United States ◽  
Fatality Rate ◽  
Patients With Cancer ◽  
Increased Risk

Abstract Background Previous studies have indicated coronavirus disease 2019 (COVID-19) patients with cancer have a high fatality rate. Methods We conducted a systematic review of studies that reported fatalities in COVID-19 patients with cancer. A comprehensive meta-analysis that assessed the overall case fatality rate and associated risk factors was performed. Using individual patient data, univariate and multivariable logistic regression analyses were used to estimate odds ratios (OR) for each variable with outcomes. Results We included 15 studies with 3019 patients, of which 1628 were men; 41.0% were from the United Kingdom and Europe, followed by the United States and Canada (35.7%), and Asia (China, 23.3%). The overall case fatality rate of COVID-19 patients with cancer measured 22.4% (95% confidence interval [CI] = 17.3% to 28.0%). Univariate analysis revealed age (OR = 3.57, 95% CI = 1.80 to 7.06), male sex (OR = 2.10, 95% CI = 1.07 to 4.13), and comorbidity (OR = 2.00, 95% CI = 1.04 to 3.85) were associated with increased risk of severe events (defined as the individuals being admitted to the intensive care unit, or requiring invasive ventilation, or death). In multivariable analysis, only age greater than 65 years (OR = 3.16, 95% CI = 1.45 to 6.88) and being male (OR = 2.29, 95% CI = 1.07 to 4.87) were associated with increased risk of severe events. Conclusions Our analysis demonstrated that COVID-19 patients with cancer have a higher fatality rate compared with that of COVID-19 patients without cancer. Age and sex appear to be risk factors associated with a poorer prognosis.

scholarly journals Risk factors for illness severity among pregnant women with confirmed SARS-CoV-2 infection - Surveillance for Emerging Threats to Mothers and Babies Network, 20 state, local, and territorial health departments, March 29, 2020 -January 8, 2021

2021 ◽  
Author(s):  
Romeo R Galang ◽  
Suzanne M Newton ◽  
Kate R Woodworth ◽  
Isabel Griffin ◽  
Titilope Oduyebo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Pregnant Women ◽  
Asymptomatic Infection ◽  
Illness Severity ◽  
World Health ◽  
Severe Illness ◽  
Molecular Testing ◽  
Chronic Hypertension ◽  
Adjusted Risk ◽  
Increased Risk

Background: Pregnant women with coronavirus disease 2019 (COVID-19) are at increased risk for severe illness compared with nonpregnant women. Data to assess risk factors for illness severity among pregnant women with COVID-19 are limited. This study aimed to determine risk factors associated with COVID-19 illness severity among pregnant women with SARS-CoV-2 infection. Methods: Pregnant women with SARS-CoV-2 infection confirmed by molecular testing were reported during March 29, 2020-January 8, 2021 through the Surveillance for Emerging Threats to Mothers and Babies Network (SET-NET). Criteria for illness severity (asymptomatic, mild, moderate-to-severe, or critical) were adapted from National Institutes of Health and World Health Organization criteria. Crude and adjusted risk ratios for moderate-to-severe or critical COVID-19 illness were calculated for selected demographic and clinical characteristics. Results: Among 5,963 pregnant women with SARS-CoV-2 infection, moderate-to-severe or critical COVID-19 illness was associated with age 30-39 years, Black/Non-Hispanic race/ethnicity, healthcare occupation, pre-pregnancy obesity, chronic lung disease, chronic hypertension, cardiovascular disease, pregestational diabetes mellitus or gestational diabetes. Risk of moderate-to-severe or critical illness increased with the number of underlying medical or pregnancy-related conditions. Conclusions: Pregnant women with moderate-to-severe or critical COVID-19 illness were more likely to be older and have underlying medical conditions compared to pregnant women with asymptomatic infection or mild COVID-19 illness. This information might help pregnant women understand their risk for moderate-to-severe or critical COVID-19 illness and inform targeted public health messaging.

scholarly journals COVID-19 in Hospitalized Patients with Sickle Cell Disease

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3090-3090
Author(s):  
Stephanie Guarino ◽  
Sophie M. Lanzkron
Keyword(s):  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Research Funding ◽  
Case Fatality ◽  
Hospitalized Patients ◽  
Categorical Variables ◽  
Fatality Rate ◽  
Cell Disease ◽  
Increased Risk ◽  
Privately Held

Abstract Introduction Sickle cell disease (SCD) is the most common inherited hemoglobinopathy and is estimated to affect more than 100,000 Americans. Current Centers for Disease Control statistics indicate that Black Americans die from COVID-19 at a disproportionately high rate, 13.6% of 449, 373 deaths but only account for 12.54% of the United States Population (CDC COVID Data Tracker accessed 5/5/2021). A voluntary clinical reported registry of COVID-19 infections in patients with SCD reported both high hospitalization rates (69%) and case fatality rates (7%) (Panepinto, 2020), but only reported data from March 20-May 21, 2020. A retrospective cohort review from England demonstrated a 4-fold increased risk of hospitalization and 2.6-fold increased risk of death due to COVID-19 for those patients with sickle cell disease compared to the general population (Hippisley-Cox, 2021). The unique constellation of SCD manifestations complicate both the diagnosis and management of COVID-19, particularly related to anticoagulation and transfusion practices. Understanding the impact of early exchange and anticoagulation would guide development of appropriate treatment guidelines and future understanding of pathophysiology. We report on the outcomes for all hospitalized inpatients with SARS-CoV-2 and SCD at institutions using Cerner electronic health record (EHR). Methods Exempted retrospective review approved by ChristianaCare IRB. We obtained deidentified data from the Cerner COVID Data Lab which includes information on all hospitalized inpatients with SARS-CoV-2 and sickle cell disease as documented by ICD 10 D57.XX from 12/10/2019-10/15/2020 at institutions that use the Cerner EHR. Those with sickle cell trait excluded. The data included 209 patients; 1 patient had separate 2 visits, only the first visit in the data. Evaluated anticoagulation use, not dose. Descriptive statistics are given: percentages for categorical variables and mean (standard deviation) for continuous variables. Comparisons between patients who died or went to hospice versus patients who recovered were done using unadjusted chi-squared tests or t-tests. Results: Admission: 124 (74.3%) were afebrile (temp &lt;100) 52 (28.4%) were tachypneic (RR &gt;22) 10 (6.2%) were hypoxic (&lt;92%) 7 (3.3%) were intubated during hospitalization Many patients had comorbidities including diabetes, hypertension, and congestive heart failure, but it was not clear if patients had multiple co-morbidities. Treatment: 16 (7.7%) got transfused RBC between 1.77 and 589.18 hours into admission 5 (2.4%) got Remdesivir, none of these patients died/went to hospice. No exchange transfusions, but maybe wasn't captured in coding data 149 (71.3%) received anticoagulant, dosing unable to be obtained so not known if this was prophylactic or treatment dosing. Outcomes: 158 (80.2%) discharged home 18 (9.1%) discharged facility 8 (4.1%) died 2 (1.0%) discharged hospice 11 (5.6%) left against medical advice 12 (5.7%) missing disposition data Those who died/went to hospice had longer hospital stays, were more likely to be hypoxic and initially tachypneic. None of these patients received remdesivir. Study included small numbers but those who died more likely to have hypertension, diabetes w/ and w/out complications, CHF. Discussion This data only included hospitalized patients, doesn't account for patients who remained outpatient so case fatality rate likely lower. 10/209 patients died- 4.8% fatality rate, 12 patients missing final discharge disposition. 18 went to facility, may have died as outpatient. Only a small number of patients received remdesivir and there were overall low rates of anticoagulation, concerning given SCD is a hypercoagulable state. Study limitations include only hospitalized patients in the dataset and only draws from Cerner EMR institutions, a 26% market share. Based on our own SCD population, only a small percentage of patients with SCD and COVID-19 hospitalized. Additionally, there is likely significant variability between institutions' treatment protocols, particularly in the early months of the data set. Finally, we could not adequately gauge severity of COVID-19 disease given notable variations in institutional resources. TABLES (in process): TABLE 1- Demographics- split by death/hospice vs. other dispositions TABLE 2- Admission Characteristics- Death/hospice vs. others TABLE 3- Treatments- Death/Hospice vs. others Disclosures Lanzkron: Shire: Research Funding; Novartis: Research Funding; Bluebird Bio: Consultancy; CSL Behring: Research Funding; Imara: Research Funding; GBT: Research Funding; Pfizer: Current holder of individual stocks in a privately-held company; Teva: Current holder of individual stocks in a privately-held company; Novo Nordisk: Consultancy.

scholarly journals Case fatality rate in COVID-19: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Chanaka Kahathuduwa ◽  
Chathurika Dhanasekara ◽  
Shao-Hua Chin
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Critical Illness ◽  
Publication Bias ◽  
Case Fatality Rate ◽  
Meta Analysis ◽  
Case Fatality ◽  
Severe Illness ◽  
Fatality Rate ◽  
Meta Regression

AbstractBackgroundEstimating the prevalence of severe or critical illness and case fatality of COVID-19 outbreak in December, 2019 remains a challenge due to biases associated with surveillance, data synthesis and reporting. We aimed to address this limitation in a systematic review and meta-analysis and to examine the clinical, biochemical and radiological risk factors in a meta-regression.MethodsPRISMA guidelines were followed. PubMed, Scopus and Web of Science were searched using pre-specified keywords on March 07, 2020. Peer-reviewed empirical studies examining rates of severe illness, critical illness and case fatality among COVID-19 patients were examined. Numerators and denominators to compute the prevalence rates and risk factors were extracted. Random-effects meta-analyses were performed. Results were corrected for publication bias. Meta-regression analyses examined the moderator effects of potential risk factors.ResultsThe meta-analysis included 29 studies representing 2,090 individuals. Pooled rates of severe illness, critical illness and case fatality among COVID-19 patients were 15%, 5% and 0.8% respectively. Adjusting for potential underreporting and publication bias, increased these estimates to 26%, 16% and 7.4% respectively. Increasing age and elevated LDH consistently predicted severe / critical disease and case fatality. Hypertension; fever and dyspnea at presentation; and elevated CRP predicted increased severity.ConclusionsRisk factors that emerged in our analyses predicting severity and case fatality should inform clinicians to define endophenotypes possessing a greater risk. Estimated case fatality rate of 7.4% after correcting for publication bias underscores the importance of strict adherence to preventive measures, case detection, surveillance and reporting.

Morbidity, mortality and spatial distribution of meningococcal disease, 1974–2007

2009 ◽  
Vol 137 (11) ◽  
pp. 1631-1640 ◽  
Author(s):  
M. HOWITZ ◽  
L. LAMBERTSEN ◽  
J. B. SIMONSEN ◽  
J. J. CHRISTENSEN ◽  
K. MØLBAK
Keyword(s):  
Risk Factors ◽  
Spatial Distribution ◽  
Meningococcal Disease ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Incidence Rates ◽  
Fatality Rate ◽  
Risk Of Death ◽  
Increased Risk ◽  
High Age

SUMMARYTo identify determinants for mortality and sequelae and to analyse the spatial distribution of meningococcal disease, we linked four national Danish registries. In the period 1974–2007, 5924 cases of meningococcal disease were registered. Our analysis confirms known risk factors for a fatal meningococcal disease outcome, i.e. septicaemia and high age (>50 years). The overall case-fatality rate was 7·6%; two phenotypes were found to be associated with increased risk of death; C:2a:P1.2,5 and B:15:P1.7,16. B:15:P1.7,16 was also associated with excess risk of perceptive hearing loss. The incidence rates of meningococcal disease were comparable between densely and less densely populated areas, but patients living further from a hospital were at significantly higher risk of dying from the infection. To improve control of meningococcal disease, it is important to understand the epidemiology and pathogenicity of virulent ‘successful clones’, such as C:2a:P1.2,5 and B:15:P1.7,16, and, eventually, to develop vaccines against serogroup B.

scholarly journals cEEG electrode-related pressure ulcers in acutely hospitalized patients

2016 ◽  
Vol 7 (1) ◽  
pp. 15-25 ◽  
Author(s):  
Lidia M.V.R. Moura ◽  
Thiago S. Carneiro ◽  
David Kwasnik ◽  
Valdery F. Moura ◽  
Christine S. Blodgett ◽  
...  
Keyword(s):  
Risk Factors ◽  
Elderly Patients ◽  
Pressure Ulcers ◽  
Hospitalized Patients ◽  
Severe Illness ◽  
Medical Complication ◽  
Skin Breakdown ◽  
Cox Proportional Hazard ◽  
Continuous Eeg ◽  
Major Predictor

AbstractBackground:Pressure ulcers resulting from continuous EEG (cEEG) monitoring in hospitalized patients have gained attention as a preventable medical complication. We measured their incidence and risk factors.Methods:We performed an observational investigation of cEEG-electrode-related pressure ulcers (EERPU) among acutely ill patients over a 22-month period. Variables analyzed included age, sex, monitoring duration, hospital location, application methods, vasopressor usage, nutritional status, skin allergies, fever, and presence/severity of EERPU. We examined risk for pressure ulcers vs monitoring duration using Kaplan-Meyer survival analysis, and performed multivariate risk assessment using Cox proportional hazard model.Results:Among 1,519 patients, EERPU occurred in 118 (7.8%). Most (n = 109, 92.3%) consisted of hyperemia only without skin breakdown. A major predictor was monitoring duration, with 3-, 5-, and 10-day risks of 16%, 32%, and 60%, respectively. Risk factors included older age (mean age 60.65 vs 50.3, p < 0.01), care in an intensive care unit (9.37% vs 5.32%, p < 0.01), lack of a head wrap (8.31% vs 27.3%, p = 0.02), use of vasopressors (16.7% vs 9.64%, p < 0.01), enteral feeding (11.7% vs 5.45%, p = 0.04), and fever (18.4% vs 9.3%, p < 0.01). Elderly patients (71–80 years) were at higher risk (hazard ratio 6.84 [1.95–24], p < 0.01), even after accounting for monitoring time and other pertinent variables in multivariate analysis.Conclusions:EERPU are uncommon and generally mild. Elderly patients and those with more severe illness have higher risk of developing EERPU, and the risk increases as a function of monitoring duration.

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