scholarly journals Risk of SARS-CoV-2 testing, PCR-confirmed infections and COVID-19-related hospital admissions in children and young people: birth cohort study

2021 ◽  
Author(s):  
Pia Hardelid ◽  
Graziella Favarato ◽  
Linda Wijlaars ◽  
Lynda Fenton ◽  
Jim McMenamin ◽  
...  
Keyword(s):  
Young People ◽  
Birth Cohort ◽  
Chronic Conditions ◽  
Proportional Hazards ◽  
Hospital Admissions ◽  
Population Based ◽  
Vital Statistics ◽  
Cox Proportional Hazards ◽  
Birth Cohort Study ◽  
Children And Young People

Background There have been no population-based studies of SARS-CoV-2 testing, PCR-confirmed infections and COVID-19-related hospital admissions across the full paediatric age range. We examine the epidemiology of SARS-CoV-2 in children and young people (CYP) aged <23 years. Methods We used a birth cohort of all children born in Scotland since 1997, constructed via linkage between vital statistics, hospital records and SARS-CoV-2 surveillance data. We calculated risks of tests and PCR-confirmed infections per 1000 CYP-years between August and December 2020, and COVID-19-related hospital admissions per 100,000 CYP-years between February and December 2020. We used Poisson and Cox proportional hazards regression models to determine risk factors. Results Among the 1226855 CYP in the cohort, there were 378402 tests, 19005 PCR confirmed infections and 346 admissions, corresponding to rates of 770.8/1000 (95% confidence interval 768.4-773.3), 179.4 (176.9-182.0) and 29.4/100,000 (26.3-32.8) CYP-years respectively. Infants had the highest COVID-19-related admission rates. Chronic conditions, particularly multiple types of conditions, was strongly associated with COVID-19-related admissions across all ages. The hazard ratio for >1 chronic condition type was 12.2 (7.9-18.82) compared to children with no chronic conditions. 89% of admitted children had no chronic conditions recorded. Conclusions Infants, and CYP with chronic conditions are at highest risk of admission with COVID-19, however the majority of admitted CYP have no chronic conditions. These results provide evidence to support risk/benefit analyses for paediatric COVID-19 vaccination programmes. Studies examining whether maternal vaccine during pregnancy prevents COVID-19 admissions in infants are urgently needed. Funding UK Research and Innovation-Medical Research Council

scholarly journals Birth incidence, deaths and hospitalisations of children and young people with Down syndrome, 1990–2015: birth cohort study

BMJ Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. e033770 ◽  
Author(s):  
Laura Anne Hughes-McCormack ◽  
Ruth McGowan ◽  
J P Pell ◽  
Daniel Mackay ◽  
Angela Henderson ◽  
...  
Keyword(s):  
Down Syndrome ◽  
Young People ◽  
Live Birth ◽  
Proportional Hazards ◽  
Hospital Admissions ◽  
Admission Rate ◽  
Cox Proportional Hazards ◽  
Birth Cohort Study ◽  
Research Attention ◽  
Children With Down Syndrome

ObjectiveTo investigate current Down syndrome live birth and death rates, and childhood hospitalisations, compared with peers.SettingGeneral community.ParticipantsAll live births with Down syndrome, 1990–2015, identified via Scottish regional cytogenetic laboratories, each age–sex–neighbourhood deprivation matched with five non-Down syndrome controls. Record linkage to Scotland’s hospital admissions and death data.Primary outcomeHRs comparing risk of first hospitalisation (any and emergency), readmission for children with Down syndrome and matched controls were calculated using stratified Cox proportional hazards (PH) model, and length of hospital stay was calculated using a conditional log-linear regression model.Results689/1479 (46.6%) female and 769/1479 (51.9%) male children/young people with Down syndrome were identified (1.0/1000 births, with no reduction over time); 1235 were matched. 92/1235 (7.4%) died during the period, 18.5 times more than controls. More of the Down syndrome group had at least one admission (incidence rate ratio(IRR) 72.89 (68.72–77.32) vs 40.51 (39.15–41.92); adjusted HR=1.84 (1.68, 2.01)) and readmissions (IRR 54.85 (51.46–58.46) vs 15.06 (14.36–15.80); adjusted HR=2.56 (2.08, 3.14)). More of their admissions were emergencies (IRR 56.78 (53.13–60.72) vs 28.88 (27.73–30.07); first emergency admission adjusted HR=2.87 (2.61, 3.15)). Children with Down syndrome had 28% longer first admission after birth. Admission rate increased from 1990–2003 to 2004–2014 for the Down syndrome group (from 90.7% to 92.2%) and decreased for controls (from 63.3% to 44.8%).ConclusionsWe provide contemporaneous statistics on the live birth rate of babies with Down syndrome, and their childhood death rate. They require more hospital admissions, readmissions emergency admissions and longer lengths of stays than their peers, which has received scant research attention in the past. This demonstrates the importance of statutory planning as well as informal support to families to avoid added problems in child development and family bonding over and above that brought by the intellectual disabilities associated with Down syndrome.

scholarly journals SARS-CoV-2 testing, infections, and hospital admissions with COVID-19 in children and young people in Scotland: a birth cohort study

The Lancet ◽  
2021 ◽  
Vol 398 ◽  
pp. S45
Author(s):  
Graziella Favarato ◽  
Linda Wijlaars ◽  
Tom Clemens ◽  
Steve Cunningham ◽  
Bianca De Stavola ◽  
...  
Keyword(s):  
Cohort Study ◽  
Young People ◽  
Birth Cohort ◽  
Hospital Admissions ◽  
Birth Cohort Study ◽  
Children And Young People

scholarly journals Unplanned Readmission within 28 Days of Hospital Discharge in a Longitudinal Population-Based Cohort of Older Australian Women

2020 ◽  
Vol 17 (9) ◽  
pp. 3136
Author(s):  
Dinberu S. Shebeshi ◽  
Xenia Dolja-Gore ◽  
Julie Byles
Keyword(s):  
Proportional Hazards ◽  
Hospital Admissions ◽  
Proportional Hazards Model ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Index Admission ◽  
Unplanned Readmission ◽  
Hazards Model ◽  
English Speaking

This study aimed to estimate the incidence of 28-day unplanned readmission among older women, and associated factors. Data were used from the 1921–1926 birth cohort of the Australian Longitudinal Study on Women’s Health. Linkage of self-reported survey data with the Admitted Patient Data Collection allowed the identification of hospital admissions for each woman and the corresponding baseline characteristics. The Cox proportional-hazards model was used to identify factors associated with time to unplanned readmission, using SAS software V 9.4. (SAS Institute, Cary, NC, USA). Of 2056 women with index unplanned admission, 363 (17.5%) were readmitted within 28 days of discharge, and of these 229 (11.14%) had unplanned readmission. Among women with unplanned readmission, 24% were for the same condition as for the index hospitalisation. Cardiovascular diseases were the main diagnoses for the index admission and readmission. Unplanned readmission risk was higher if not partnered (hazard ratio (HR) = 1.43, 95% confidence interval (CI): 1.05–1.95), of non-English speaking background (HR = 1.62%, 95% CI: 1.07–2.47), more than three days length of stay on index admission (HR = 1.41%, 95% CI: 1.04–1.90) and one or two of the assessed chronic diseases (HR = 1.68, 95% CI: 1.19–2.36). At least one in ten women had unplanned readmission at some time between ages 75–95 years. Women who are not partnered, not of English-speaking background, with longer hospital stay and those with multi-morbidity, may need further efforts during their stay and on discharge to mitigate unplanned readmission.

scholarly journals Predictors of 10-year hospital use in a community-dwelling population of Brazilian elderly: the Bambuí cohort study of aging

2011 ◽  
Vol 27 (suppl 3) ◽  
pp. s336-s344 ◽  
Author(s):  
James Macinko ◽  
Vitor Camargos ◽  
Josélia O. A. Firmo ◽  
Maria Fernanda Lima-Costa
Keyword(s):  
Cohort Study ◽  
Chronic Conditions ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Community Dwelling ◽  
Proportional Hazards Models ◽  
Cox Proportional Hazards Models ◽  
Male Sex

We use data from a population-based cohort of elderly Brazilians to assess predictors of hospitalizations during ten years of follow-up. Participants were 1,448 persons aged 60 years and over at baseline (1997). The outcome was self-reported number of hospitalizations per year. Slightly more than a fifth (23%) experienced no hospitalizations during the 10 year follow-up. About 30% had 1-2 events, 31% had between 3 and 7 events, and about 18% had 8 or more events during this time. Results of multivariable hurdle and Cox proportional hazards models showed that the risk of hospitalization was positively associated with male sex, increased age, chronic conditions, and visits to the doctors in the previous 12 months. Underweight was a predictor of any hospitalization, while obesity was an inconsistent predictor of hospitalization.

scholarly journals Primary, secondary care and mortality data-linked to identify the prevalence of cerebral palsy in children and young people

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Bethan Carter ◽  
Hywel Jones ◽  
Jackie Bethell ◽  
Ting Wang ◽  
Sarah Rees ◽  
...  
Keyword(s):  
Young People ◽  
Secondary Care ◽  
Chronic Conditions ◽  
Hospital Admissions ◽  
Mortality Data ◽  
Care Hospital ◽  
Children And Young People ◽  
Period Prevalence ◽  
Primary Care Hospital ◽  
Clinical Records

IntroductionEvaluations of healthcare utilisation for children and young people (CYP) with chronic conditions, are increasingly relying upon routinely collected healthcare data to estimate healthcare burden and inform national policy and practice. However, chronic conditions are not consistently or accurately recorded making it difficult to conduct valid epidemiological analyses. Objectives and ApproachWe explored routinely collected healthcare datasets of 2,122,914 CYP in the English Clinical Practice Research Dataset (CPRD) and 1,636,252 CYP in the Welsh Secure Anonymous Information Linkage (SAIL) databank to identify patients with CP (an exemplar of a chronic neurodisability) from diagnosis coding (G80-83.3). Linked primary care, hospital admission outpatient and mortality data were searched from birth and populations of CYP aged 0-25 years between 2004 and 2014 with and without CP were identified. We detected the ascertainment sources and compared the results from CPRD and SAIL. In a sample of cases G80-83 codes were validated against clinical records. Results England: Some 7,500 cases of CP were identified (period prevalence: 3.5 per 1000 CYP). Of those, 36.6% were identified from hospital admissions; 20.6% from GP data, 42.0% were in both datasets with 0.8% from outpatient/ONS mortality data. Wales: Some 5,400 cases of CP were identified (period prevalence: 3.3 per 1000 CYP). Of those, 38.6% were identified from hospital admissions, 25.3% from GP data, 36.0% were in both datasets, and 0.1% from mortality/outpatient datasets. 729/877(83.1%) cases coded as G80-83 in secondary care case notes were validated cases of CP leaving 16.9% that were incorrectly coded. Approximately 70% of G80 cases were recorded as G80.8-9 (CP other/unspecified). Roughly 30% of cases were only coded as CP on one occasion within the primary and secondary care datasets. Conclusion/ImplicationsSimilar proportions of CP cases were identified in the two datasets giving similar period prevalences. Inconsistent and incorrect coding will affect the accuracy of these figures and precludes any analysis by disease type/severity. Improved coding of chronic conditions is needed before accurate healthcare analysis of routine data can be undertaken.

scholarly journals Impact of comorbidity on the outcome in men with advanced prostate cancer treated with docetaxel

2015 ◽  
Vol 49 (4) ◽  
pp. 402-408 ◽  
Author(s):  
Andrej Zist ◽  
Eitan Amir ◽  
Alberto F. Ocana ◽  
Bostjan Seruga
Keyword(s):  
Prostate Cancer ◽  
Proportional Hazards ◽  
Hospital Admissions ◽  
Univariate Analysis ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Severe Comorbidity ◽  
Castrate Resistant Prostate Cancer ◽  
Castrate Resistant ◽  
The Impact

Abstract Background. Men with metastatic castrate-resistant prostate cancer (mCRPC) may not receive docetaxel in everyday clinical practice due to comorbidities. Here we explore the impact of comorbidity on outcome in men with mCRPC treated with docetaxel in a population-based outcome study. Methods. Men with mCRPC treated with docetaxel at the Institute of Oncology Ljubljana between 2005 and 2012 were eligible. Comorbidity was assessed by the age-adjusted Charlson comorbidity index (aa-CCI) and adult comorbidity evaluation (ACE-27) index. Hospital admissions due to the toxicity and deaths during treatment with docetaxel were used as a measure of tolerability. Association between comorbidity and overall survival (OS) was tested using the Cox proportional hazards analysis. Results. Two hundred and eight men were treated with docetaxel. No, mild, moderate and severe comorbidity was present in 2%, 32%, 53% and 13% using aa-CCI and in 27%, 35%, 29% and 8% when assessed by ACE-27. A substantial dose reduction of docetaxel occurred more often in men with moderate or severe comorbidity as compared to those with no or mild comorbidity. At all comorbidity levels about one-third of men required hospitalization or died during treatment with docetaxel. In univariate analysis a higher level of comorbidity was not associated with worse OS (aa-CCI HR 0.99; [95% CI 0.87–1.13], p = 0.93; ACE-27: HR 0.96; [95% CI 0.79–1.17], p = 0.69). Conclusions. Men with mCRPC, who have comorbidities may benefit from treatment with docetaxel.

scholarly journals Origins of disparities in preventable child mortality in England and Sweden: a birth cohort study

2019 ◽  
Vol 105 (1) ◽  
pp. 53-61 ◽  
Author(s):  
Ania Zylbersztejn ◽  
Ruth Gilbert ◽  
Anders Hjern ◽  
Pia Hardelid
Keyword(s):  
Cohort Study ◽  
Socioeconomic Factors ◽  
Birth Cohort ◽  
Child Mortality ◽  
Outcome Measures ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Birth Cohort Study ◽  
Unexpected Death ◽  
Birth Characteristics

ObjectiveTo compare mortality in children aged <5 years from two causes amenable to healthcare prevention in England and Sweden: respiratory tract infection (RTI) and sudden unexpected death in infancy (SUDI).DesignBirth cohort study using linked administrative health databases from England and Sweden.Setting and participantsSingleton live births between 2003 and 2012 in England and Sweden, followed up from age 31 days until the fifth birthday, death or 31 December 2013.Main outcome measuresThe main outcome measures were HR for RTI-related mortality at 31–364 days and at 1–4 years and SUDI mortality at 31–364 days in England versus Sweden estimated using Cox proportional hazards models. We calculated unadjusted HRs and HRs adjusted for birth characteristics (gestational age, birth weight, sex and congenital anomalies) and socioeconomic factors (maternal age and socioeconomic status).ResultsThe English cohort comprised 3 928 483 births, 768 RTI-related deaths at 31–364 days, 691 RTI-related deaths at 1–4 years and 1166 SUDIs; the corresponding figures for the Swedish cohort were 1 012 682, 131, 118 and 189. At 31–364 days, unadjusted HR for RTI-related death in England versus Sweden was 1.52 (95% CI 1.26 to 1.82). After adjusting for birth characteristics, the HR reduced to 1.16 (95% CI 0.96 to 1.40) and for socioeconomic factors to 1.11 (95% CI 0.92 to 1.34). At 1–4 years, unadjusted HR was 1.58 (95% CI 1.30 to 1.92) and decreased to 1.32 (95% CI 1.09 to 1.61) after adjusting for birth characteristics and to 1.30 (95% CI 1.07 to 1.59) after further adjustment for socioeconomic factors. For SUDI, the respective HRs were 1.59 (95% CI 1.36 to 1.85) in the unadjusted model, and 1.40 (95% CI 1.20 to 1.63) after accounting for birth characteristics and 1.19 (95% CI 1.02 to 1.39) in the fully adjusted model.ConclusionInterventions that improve maternal health before and during pregnancy to reduce the prevalence of adverse birth characteristics and address poverty could reduce child mortality due to RTIs and SUDIs in England.

scholarly journals Determinants of Full Breastfeeding at 6 Months and Any Breastfeeding at 12 and 24 Months among Women in Sydney: Findings from the HSHK Birth Cohort Study

2020 ◽  
Vol 17 (15) ◽  
pp. 5384
Author(s):  
Ritesh Chimoriya ◽  
Jane Anne Scott ◽  
James Rufus John ◽  
Sameer Bhole ◽  
Andrew Hayen ◽  
...  
Keyword(s):  
Cohort Study ◽  
Breast Milk ◽  
Birth Cohort ◽  
Maternal Education ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Breastfeeding Duration ◽  
Birth Cohort Study ◽  
Full Time ◽  
Increased Risk

The aim of this study was to report on breastfeeding duration up to 24 months and determine the predictors of breastfeeding duration among women in South Western Sydney, one of the most culturally diverse and socioeconomically disadvantaged regions of New South Wales (NSW), Australia. Mother–infant dyads (n = 1035) were recruited to the Healthy Smiles Healthy Kids birth cohort study. Study data were collected through telephone interviews at 2, 4, 8, 12, and 24 months postpartum. Cox proportional hazards models were used to determine factors associated with the risk of stopping full breastfeeding at six months and any breastfeeding at 12 and 24 months. The majority of mothers (92.3%) had initiated breastfeeding. At six months, 13.5% of infants were fully breastfed, while 49.9% received some breast milk. Only 25.5% and 2.9% of infants received some breast milk at 12 and 24 months, respectively. Lower maternal education level, lower socioeconomic status, full-time employment, maternal smoking during pregnancy, and caesarean delivery were associated with increased risk of stopping full breastfeeding at six months and any breastfeeding at 12 and 24 months. Older maternal age and partner’s preference for breastfeeding were associated with an increased likelihood of continuing any breastfeeding at 12 and 24 months. These findings present a number of opportunities for prolonging breastfeeding duration in disadvantaged communities in NSW.

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