scholarly journals Previous COVID-19 infection and antibody levels after vaccination

2021 ◽  
Author(s):  
Hamad Ali ◽  
Barrak Alahmad ◽  
Abdullah A. Al-Shammari ◽  
Abdelmohsen Al-Terki ◽  
Maha Hammad ◽  
...  
Keyword(s):  
Neutralizing Antibodies ◽  
Regression Models ◽  
Individual Characteristics ◽  
Linear Regression Models ◽  
Serological Analysis ◽  
Health Authorities ◽  
Public Health Authorities ◽  
The Mean ◽  
Vaccine Shortages ◽  
Antibody Levels

AbstractBackgroundThe emergence of new COVID-19 variants of concern coupled with a global inequity in vaccine access and distribution, prompted many public health authorities to circumvent the vaccine shortages by altering vaccination protocols and prioritizing high-risk individuals. Those with previous COVID-19 infection may have not been prioritized due to existing humoral immunity.ObjectiveWe aim to study the association between previous COVID-19 infection and antibody levels after COVID-19 vaccination.MethodsA serological analysis to measure SARS-CoV-2 IgG, IgA and neutralizing antibodies was performed on individuals who received one or two doses of either BNT162b2 or ChAdOx1 vaccines in Kuwait. Generalized linear regression models adjusted for individual characteristics and comorbidities were fitted to study the average levels of IgG and neutralizing antibodies in vaccinated individuals based who had previous COVID-19 infection compared to those who had not.ResultsA total of 1025 individuals were recruited. The mean levels of IgG, IgA and neutralizing antibodies were higher in vaccinated subjects with previous COVID-19 infection when compared with those vaccinated without previous COVID-19 infection. Regression analysis showed a steeper slope of decline for IgG in vaccinated individuals without previous COVID-19 infection in comparison with vaccinated individuals with previous COVID-19 infection.ConclusionPrevious COVID-19 infection appears to elicit robust and sustained levels of SARS-CoV-2 antibodies in vaccinated individuals. Given the inconsistent supply of COVID-19 vaccines in many countries due to the global inequity, our results point towards wider vaccination plans to especially cover individuals without previous COVID-19 infection.

scholarly journals Previous COVID-19 Infection and Antibody Levels After Vaccination

2021 ◽  
Vol 9 ◽  
Author(s):  
Hamad Ali ◽  
Barrak Alahmad ◽  
Abdullah A. Al-Shammari ◽  
Abdulmohsen Alterki ◽  
Maha Hammad ◽  
...  
Keyword(s):  
Neutralizing Antibodies ◽  
Individual Characteristics ◽  
Linear Regression Models ◽  
Health Authorities ◽  
Previous Infection ◽  
Public Health Authorities ◽  
The Mean ◽  
Vaccine Shortages ◽  
Antibody Levels ◽  
Ig G

Background: The emergence of new COVID-19 variants of concern coupled with a global inequity in vaccine access and distribution has prompted many public health authorities to circumvent the vaccine shortages by altering vaccination protocols and prioritizing persons at high risk. Individuals with previous COVID-19 infection may not have been prioritized due to existing humoral immunity.Objective: We aimed to study the association between previous COVID-19 infection and antibody levels after COVID-19 vaccination.Methods: A serological analysis to measure SARS-CoV-2 immunoglobulin (Ig)G, IgA, and neutralizing antibodies was performed on individuals who received one or two doses of either BNT162b2 or ChAdOx1 vaccines in Kuwait. A Student t-test was performed and followed by generalized linear regression models adjusted for individual characteristics and comorbidities were fitted to compare the average levels of IgG and neutralizing antibodies between vaccinated individuals with and without previous COVID-19 infection.Results: A total of 1,025 individuals were recruited. The mean levels of IgG, IgA, and neutralizing antibodies were higher in vaccinated subjects with previous COVID-19 infections than in those without previous infection. Regression analysis showed a steeper slope of decline for IgG and neutralizing antibodies in vaccinated individuals without previous COVID-19 infection compared to those with previous COVID-19 infection.Conclusion: Previous COVID-19 infection appeared to elicit robust and sustained levels of SARS-CoV-2 antibodies in vaccinated individuals. Given the inconsistent supply of COVID-19 vaccines in many countries due to inequities in global distribution, our results suggest that even greater efforts should be made to vaccinate more people, especially individuals without previous COVID-19 infection.

scholarly journals Robust Antibody Levels in Both Diabetic and Non-Diabetic Individuals After BNT162b2 mRNA COVID-19 Vaccination

2021 ◽  
Vol 12 ◽  
Author(s):  
Hamad Ali ◽  
Abdulmohsen Alterki ◽  
Sardar Sindhu ◽  
Barrak Alahmad ◽  
Maha Hammad ◽  
...  
Keyword(s):  
Neutralizing Antibodies ◽  
Vaccine Dose ◽  
Individual Characteristics ◽  
Metabolic Conditions ◽  
Antibody Titers ◽  
The Mean ◽  
Antibody Levels ◽  
Robust Response ◽  
Increased Susceptibility

The emergence of effective vaccines for COVID-19 has been welcomed by the world with great optimism. Given their increased susceptibility to COVID-19, the question arises whether individuals with type-2 diabetes mellitus (T2DM) and other metabolic conditions can respond effectively to the mRNA-based vaccine. We aimed to evaluate the levels of anti-SARS-CoV-2 IgG and neutralizing antibodies in people with T2DM and/or other metabolic risk factors (hypertension and obesity) compared to those without. This study included 262 people (81 diabetic and 181 non-diabetic persons) that took two doses of BNT162b2 (Pfizer–BioNTech) mRNA vaccine. Both T2DM and non-diabetic individuals had a robust response to vaccination as demonstrated by their high antibody titers. However, both SARS-CoV-2 IgG and neutralizing antibodies titers were lower in people with T2DM. The mean ( ± 1 standard deviation) levels were 154 ± 49.1 vs. 138 ± 59.4 BAU/ml for IgG and 87.1 ± 11.6 vs. 79.7 ± 19.5% for neutralizing antibodies in individuals without diabetes compared to those with T2DM, respectively. In a multiple linear regression adjusted for individual characteristics, comorbidities, previous COVID-19 infection, and duration since second vaccine dose, diabetics had 13.86 BAU/ml (95% CI: 27.08 to 0.64 BAU/ml, p=0.041) less IgG antibodies and 4.42% (95% CI: 8.53 to 0.32%, p=0.036) fewer neutralizing antibodies than non-diabetics. Hypertension and obesity did not show significant changes in antibody titers. Taken together, both type-2 diabetic and non-diabetic individuals elicited strong immune responses to SARS-CoV-2 BNT162b2 mRNA vaccine; nonetheless, lower levels were seen in people with diabetes. Continuous monitoring of the antibody levels might be a good indicator to guide personalized needs for further booster shots to maintain adaptive immunity. Nonetheless, it is important that people get their COVID-19 vaccination especially people with diabetes.

scholarly journals Assessing Early Heterogeneity in Doubling Times of the COVID-19 Epidemic across Prefectures in Mainland China, January–February, 2020

Epidemiologia ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 95-113 ◽  
Author(s):  
Isaac Chun-Hai Fung ◽  
Xiaolu Zhou ◽  
Chi-Ngai Cheung ◽  
Sylvia K. Ofori ◽  
Kamalich Muniz-Rodriguez ◽  
...  
Keyword(s):  
Regression Models ◽  
Doubling Time ◽  
Metropolitan Areas ◽  
Mainland China ◽  
Linear Regression Models ◽  
Case Count ◽  
Daily Time Series ◽  
The Mean ◽  
Doubling Times ◽  
Daily Time

To describe the geographical heterogeneity of COVID-19 across prefectures in mainland China, we estimated doubling times from daily time series of the cumulative case count between 24 January and 24 February 2020. We analyzed the prefecture-level COVID-19 case burden using linear regression models and used the local Moran’s I to test for spatial autocorrelation and clustering. Four hundred prefectures (~98% population) had at least one COVID-19 case and 39 prefectures had zero cases by 24 February 2020. Excluding Wuhan and those prefectures where there was only one case or none, 76 (17.3% of 439) prefectures had an arithmetic mean of the epidemic doubling time <2 d. Low-population prefectures had a higher per capita cumulative incidence than high-population prefectures during the study period. An increase in population size was associated with a very small reduction in the mean doubling time (−0.012, 95% CI, −0.017, −0.006) where the cumulative case count doubled ≥3 times. Spatial analysis revealed high case count clusters in Hubei and Heilongjiang and fast epidemic growth in several metropolitan areas by mid-February 2020. Prefectures in Hubei and neighboring provinces and several metropolitan areas in coastal and northeastern China experienced rapid growth with cumulative case count doubling multiple times with a small mean doubling time.

Abstract WMP14: Association of Systolic Blood Pressure, LDL Cholesterol, and Hgb A1c With White Matter Hyperintensity on MRI in the ACCORDION MIND Study

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Adam H de Havenon ◽  
Tanya Turan ◽  
Rebecca Gottesman ◽  
Sharon Yeatts ◽  
Shyam Prabhakaran ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
Regression Models ◽  
Ldl Cholesterol ◽  
Vascular Risk Factor ◽  
White Matter Hyperintensity ◽  
Vascular Risk ◽  
Linear Regression Models ◽  
Risk Factor Profile ◽  
The Mean

Introduction: While retrospective studies have shown that poor control of vascular risk factors is associated with progression of white matter hyperintensity (WMH), it has not been studied prospectively. Hypothesis: We hypothesize that higher systolic blood pressure (SBP) mean, LDL cholesterol, and Hgb A1c will be correlated with WMH progression in diabetics. Methods: This is a secondary analysis of the Memory in Diabetes (MIND) substudy of the Action to Control Cardiovascular Risk in Diabetes Follow-on Study (ACCORDION). The primary outcome was WMH progression, evaluated by fitting linear regression models to the WMH volume on the month 80 MRI and adjusting for the WMH volume on the baseline MRI. The primary predictors were the mean values of SBP, LDL, and A1c from baseline to month 80. We defined a good vascular risk factor profile as mean SBP <120 mm Hg and mean LDL <120 mg/dL. Results: We included 292 patients, with a mean (SD) age of 62.6 (5.3) years and 55.8% male. The mean number of SBP, LDL, and A1c measurements per patient was 17, 5, and 12. We identified 86 (29.4%) patients with good vascular risk factor profile. In the linear regression models, mean SBP and LDL were associated with WMH progression and in a second fully adjusted model they both remained associated with WMH progression (Table). Those with a good vascular risk factor profile had less WMH progression (β Coefficient -0.80, 95% CI -1.42, -0.18, p=0.012). Conclusions: Our data reinforce prior research showing that higher SBP and LDL is associated with progression of WMH in diabetics, likely secondary to chronic microvascular ischemia, and suggest that control of these factors may have protective effects. This study has unique strengths, including prospective serial measurement of the exposures, validated algorithmic measurement methodology for WMH, and rigorous adjudication of study data. Clinical trials are needed to investigate the effect of vascular risk factor reduction on WMH progression.

scholarly journals Geography of Microcephaly in the Zika Era: A Study of Newborn Distribution and Socio-environmental Indicators in Recife, Brazil, 2015-2016

2018 ◽  
Vol 133 (4) ◽  
pp. 461-471 ◽  
Author(s):  
Ariani Impieri Souza ◽  
Marília Teixeira de Siqueira ◽  
Ana Laura Carneiro Gomes Ferreira ◽  
Clarice Umbelino de Freitas ◽  
Anselmo César Vasconcelos Bezerra ◽  
...  
Keyword(s):  
Public Hospital ◽  
Incidence Rate Ratio ◽  
Mixed Race ◽  
Environmental Indicators ◽  
The North ◽  
Health Authorities ◽  
Public Health Authorities ◽  
Incidence Risk ◽  
The Mean ◽  
Larvae Density

Objectives: We assessed sociodemographic and health care factors of mothers and newborns during a 2015-2016 outbreak of microcephaly in Recife, Brazil, and we analyzed the spatial distribution and incidence risk of newborns with microcephaly in relation to socio-environmental indicators. Methods: We collected data from August 2015 through May 2016 from Brazil’s Live Birth Information System and Bulletin of Microcephaly Notification, and we geocoded the data by maternal residence. We constructed thematic maps of districts, according to socio-environmental and vector indicators. We identified spatial aggregates of newborns with microcephaly by using the Bernoulli model. We performed logistic regression analyses to compare the incidence risk of microcephaly within socio-environmental indicator groups. Results: We geocoded 17 990 of 19 554 (92.0%) live births in Recife, of which 202 (1.1%) newborns were classified as having microcephaly, based on a head circumference of ≥2 standard deviations below the mean. Larger proportions of newborns with microcephaly (compared with newborns without microcephaly) were born to mothers who delivered in a public hospital, did not attend college, were aged ≤19, or were black or mixed race. A higher risk of microcephaly (incidence rate ratio [IRR] = 3.90; 95% confidence interval [CI], 1.88-8.06) occurred in districts with the lowest (vs highest) Municipal Human Development Index (ie, an index that assesses longevity, education, and income). The risk of microcephaly was significantly higher where rates of larvae density (IRR = 2.31; 95% CI, 1.19-4.50) and larvae detection (IRR = 2.04; 95% CI, 1.05-4.00) were higher and rates of sewage system (IRR = 2.20; 95% CI, 1.16-4.18) and garbage collection (IRR = 1.96; 95% CI, 0.99-3.88) were lower. Newborns with microcephaly lived predominantly in the poorest areas and in a high-risk cluster (relative risk = 1.89, P = .01) in the north. Conclusions: The disproportionate incidence of microcephaly in newborns in poor areas of Recife reinforces the need for government and public health authorities to formulate policies that promote social equity and support for families and their children with microcephaly.

scholarly journals Recent national French food and nutrient intake data

1999 ◽  
Vol 81 (S1) ◽  
pp. S57-S59 ◽  
Author(s):  
Jean-Luc Volatier ◽  
Philippe Verger
Keyword(s):  
Saturated Fat ◽  
Dietary Guidelines ◽  
Fat Intake ◽  
Dietary Survey ◽  
The North ◽  
Health Authorities ◽  
Public Health Authorities ◽  
The Mean ◽  
Food And Nutrient Intake ◽  
Saturated Fat Intake

In France, the first national dietary survey, called ASPCC, was done in 1993–1994. According to this survey, the mean fat intake in France is rather high, both for men (37.7 %) and women (40 %). Saturated fat intake is above 15 % of energy. The intake of fruit and vegetables is particularly low for younger people and manual workers. Fruit intake is also lower for people from the north of the country. These data show the necessity of a targeted nutritional policy in France. Therefore, public health authorities are determining new dietary guidelines. The fact that people with unsatisfactory nutritional status are often not concerned with nutrition proves the importance of simple understandable food-based dietary guidelines.

scholarly journals Epidemiology of meningococcal disease in the Panamanian pediatric population, 1998-2008

2010 ◽  
Vol 5 (05) ◽  
pp. 318-323 ◽  
Author(s):  
Javier Nieto-Guevara ◽  
Kathia Luciani ◽  
Abian Montesdeoca-Melían ◽  
Mercedes Mateos-Durán
Keyword(s):  
Meningococcal Disease ◽  
Pediatric Population ◽  
Circulation Pattern ◽  
Disease Diagnosis ◽  
Invasive Disease ◽  
Epidemiological Surveillance ◽  
Health Authorities ◽  
Public Health Authorities ◽  
The Mean ◽  
One Year

Introduction: Worldwide public health authorities report 500,000 cases of invasive meningococcal disease with 50,000 deaths per year and 10-15% of sequelae in people affected. This study describes the epidemiology, microbiology, and clinical presentation of this disease in the Panamanian pediatric population. Methodology:  The discharge of patients with a meningococcal invasive disease diagnosis was reviewed in the statistical database and archives of the Hospital del Niño. Results: A total of 32 discharges with a meningococcal disease diagnosis were reported during the study period (1998-2008).  Ninety-one percent (n/N = 29/32) were confirmed as meningitis. The mean age of patients was 4.1 ± 4.6 years. The incidence in the period of the study was 0.25/100,000. Infants younger than one year old presented the highest incidence rate and number of cases. Four deaths were reported, three of which occurred in the group of 10-14 years and one in the group of 1-4 years. The overall fatality rate was 12.5%. The serogroup of the causative agent, Neisseria meningitidis, was documented in 30 of the 32 cases, with serogroup B the most frequent (66.7%). Ninety-percent (18/20) of serogroup B were isolated in the first five years of study. Serogroup C was identified in 8 of the 12 cases during the period 2004-2008. Conclusions: The present study showed a change in the epidemiological circulation pattern from serogroup B to serogroup C during the study period. Such epidemiological surveillance data is important in the implementation of preventive measures such as vaccination.

scholarly journals Systemic Antibiotics Influence Periodontal Parameters and Oral Microbiota, But Not Serological Markers

2021 ◽  
Vol 11 ◽  
Author(s):  
Elisa Kopra ◽  
Laura Lahdentausta ◽  
Milla Pietiäinen ◽  
Kåre Buhlin ◽  
Päivi Mäntylä ◽  
...  
Keyword(s):  
Alveolar Bone ◽  
Serum Antibody ◽  
Oral Microbiota ◽  
Microbiota Composition ◽  
Periodontal Pathogens ◽  
Linear Regression Models ◽  
Periodontal Inflammation ◽  
The Mean ◽  
Antibody Levels ◽  
Systemic Antibiotics

The use of systemic antibiotics may influence the oral microbiota composition. Our aim was to investigate in this retrospective study whether the use of prescribed antibiotics associate with periodontal status, oral microbiota, and antibodies against the periodontal pathogens. The Social Insurance Institution of Finland Data provided the data on the use of systemic antibiotics by record linkage to purchased medications and entitled reimbursements up to 1 year before the oral examination and sampling. Six different classes of antibiotics were considered. The Parogene cohort included 505 subjects undergoing coronary angiography with the mean (SD) age of 63.4 (9.2) years and 65% of males. Subgingival plaque samples were analysed using the checkerboard DNA-DNA hybridisation. Serum and saliva antibody levels to periodontal pathogens were analysed with immunoassays and lipopolysaccharide (LPS) activity with the LAL assay. Systemic antibiotics were prescribed for 261 (51.7%) patients during the preceding year. The mean number of prescriptions among them was 2.13 (range 1–12), and 29.4% of the prescriptions were cephalosporins, 25.7% penicillins, 14.3% quinolones, 12.7% macrolides or lincomycin, 12.0% tetracycline, and 5.8% trimethoprim or sulphonamides. In linear regression models adjusted for age, sex, current smoking, and diabetes, number of antibiotic courses associated significantly with low periodontal inflammation burden index (PIBI, p &lt; 0.001), bleeding on probing (BOP, p = 0.006), and alveolar bone loss (ABL, p = 0.042). Cephalosporins associated with all the parameters. The phyla mainly affected by the antibiotics were Bacteroidetes and Spirochaetes. Their levels were inversely associated with the number of prescriptions (p = 0.010 and p &lt; 0.001) and directly associated with the time since the last prescription (p = 0.019 and p &lt; 0.001). Significant inverse associations were observed between the number of prescriptions and saliva concentrations of Prevotella intermedia, Tannerella forsythia, and Treponema denticola and subgingival bacterial amounts of Porphyromonas gingivalis, P. intermedia, T. forsythia, and T. denticola. Saliva or serum antibody levels did not present an association with the use of antibiotics. Both serum (p = 0.031) and saliva (p = 0.032) LPS activity was lower in patients having any antibiotic course less than 1 month before sampling. Systemic antibiotics have effects on periodontal inflammation and oral microbiota composition, whereas the effects on host immune responses against the periodontal biomarker species seem unchanged.

scholarly journals Trends in the Cumulative Incidence of Vocational Rehabilitation Indicators in Brazil, 2007–2016

2020 ◽  
Vol 17 (11) ◽  
pp. 3952
Author(s):  
Cristiano Barreto de Miranda ◽  
João Silvestre Silva-Junior ◽  
Gisele Aparecida Fernandes ◽  
Frida Marina Fischer
Keyword(s):  
Open Access ◽  
Confidence Interval ◽  
Vocational Rehabilitation ◽  
Cumulative Incidence ◽  
Regression Models ◽  
Linear Regression Models ◽  
Disability Benefits ◽  
The Public ◽  
Increasing Trend ◽  
The Mean

Vocational rehabilitation (VR) aims at improving work ability to facilitate workers’ return to work. VR is provided in Brazil by the public social security system. The aim of the present study was to analyze trends in VR indicators for Brazil from 2007 to 2016. Based on open-access, secondary aggregate data, we calculated the cumulative incidence of VR indicators. We fitted Prais-Winsten generalized linear regression models to estimate trends and calculated annual percent variation with the corresponding 95% confidence interval (95% CI). The mean cumulative incidence of referrals to VR services was 37.16/1000 temporary disability benefits granted and exhibited a decreasing trend of −6.92% (95% CI: −8.38; −5.43). The mean cumulative incidence of admissions to VR services was 57.34/100 referrals and exhibited an increasing trend of 3.31% (95% CI: 1.13; 5.53). The mean cumulative incidence of rehabilitation was 57.43/100 admissions and remained stable along the analyzed period, −2.84 (95% CI: −5.87; 0.29). Our findings evidence a reduction in the number of workers referred for VR, an increase of admissions, and stability in the cumulative incidence of rehabilitated workers.

scholarly journals Prevalence and Determinants of Fall-Related Injuries among Older Adults in Ecuador

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Carlos H. Orces
Keyword(s):  
Older Adults ◽  
Fall Prevention ◽  
Regression Models ◽  
Drinking Alcohol ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Health Authorities ◽  
Aging Study ◽  
Public Health Authorities ◽  
Type Of Injury

Objectives. To estimate the prevalence and determinants of fall-related injuries in the previous year among adults aged 60 years or older in Ecuador.Methods. The prevalence of fall-related injuries was estimated using cross-sectional data from the first national survey of Health, Wellbeing, and Aging study. Logistic regression models were used to examine the associations between participants’ demographic characteristics and fall-related injuries.Results. Of 5,227 participants with a mean age of 72.6 years, 11.4% (95% CI, 10.3%–12.7%) reported a fall-related injury in Ecuador, representing an estimated 136,000 adults aged 60 years or older. Fall-related injuries were more frequently reported among older adults residing in the most urbanized and populated provinces of the country. After controlling for potential confounders, self-reported race as Indigenous (OR 2.2; 95% CI, 2.11–2.31), drinking alcohol regularly (OR 2.54; 95% CI, 2.46–2.63), subjects with greater number of comorbid conditions (OR 2.03; 95% CI, 1.97–2.08), and urinary incontinence (OR 1.83; 95% CI, 1.79–1.87) were factors independently associated with increased odds of sustaining fall-related injuries.Conclusions. Fall-related injuries represent a considerable burden for older adults in Ecuador. The present findings may assist public health authorities to implement fall prevention programs among subjects at higher risk for this type of injury.

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