scholarly journals Biometric covariates and outcome in COVID-19 patients: are we looking close enough?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Konstantin Sharafutdinov ◽  
Sebastian Johannes Fritsch ◽  
Gernot Marx ◽  
Johannes Bickenbach ◽  
Andreas Schuppert

Abstract Background The impact of biometric covariates on risk for adverse outcomes of COVID-19 disease was assessed by numerous observational studies on unstratified cohorts, which show great heterogeneity. However, multilevel evaluations to find possible complex, e.g. non-monotonic multi-variate patterns reflecting mutual interference of parameters are missing. We used a more detailed, computational analysis to investigate the influence of biometric differences on mortality and disease evolution among severely ill COVID-19 patients. Methods We analyzed a group of COVID-19 patients requiring Intensive care unit (ICU) treatment. For further analysis, the study group was segmented into six subgroups according to Body mass index (BMI) and age. To link the BMI/age derived subgroups with risk factors, we performed an enrichment analysis of diagnostic parameters and comorbidities. To suppress spurious patterns, multiple segmentations were analyzed and integrated into a consensus score for each analysis step. Results We analyzed 81 COVID-19 patients, of whom 67 required mechanical ventilation (MV). Mean mortality was 35.8%. We found a complex, non-monotonic interaction between age, BMI and mortality. A subcohort of patients with younger age and intermediate BMI exhibited a strongly reduced mortality risk (p < 0.001), while differences in all other groups were not significant. Univariate impacts of BMI or age on mortality were missing. Comparing MV with non-MV patients, we found an enrichment of baseline CRP, PCT and D-Dimers within the MV group, but not when comparing survivors vs. non-survivors within the MV patient group. Conclusions The aim of this study was to get a more detailed insight into the influence of biometric covariates on the outcome of COVID-19 patients with high degree of severity. We found that survival in MV is affected by complex interactions of covariates differing to the reported covariates, which are hidden in generic, non-stratified studies on risk factors. Hence, our study suggests that a detailed, multivariate pattern analysis on larger patient cohorts reflecting the specific disease stages might reveal more specific patterns of risk factors supporting individually adapted treatment strategies.

2020 ◽  
Author(s):  
Sebastian Fritsch ◽  
Konstantin Sharafutdinov ◽  
Gernot Marx ◽  
Andreas Schuppert ◽  
Johannes Bickenbach

AbstractBackgroundThe impact of biometric covariates on risk for adverse outcomes of COVID-19 disease was assessed by numerous observational studies on unstratified cohorts, which show great heterogeneity. However, multilevel evaluations to find possible complex, e. g. non-monotonic multi-variate patterns reflecting mutual interference of parameters are missing. We used a more detailed, computational analysis to investigate the influence of biometric differences on mortality and disease evolution among severely ill COVID-19 patients.MethodsWe analyzed a group of COVID-19 patients requiring Intensive care unit (ICU) treatment. For further analysis, the study group was segmented into six subgroups according to BMI and age. To link the BMI/age derived subgroups with risk factors, we performed an enrichment analysis of diagnostic parameters and comorbidities. To suppress spurious patterns, multiple segmentations were analyzed and integrated into a consensus score for each analysis step.ResultsWe analyzed 81 COVID-19 patients, of whom 67 required MV. Mean mortality was 35.8 %. We found a complex, non-monotonic interaction between age, BMI and mortality. A subcohort of patients with younger age and intermediate BMI exhibited a strongly reduced mortality risk (p < 0.001), while differences in all other groups were not significant. Univariate impacts of BMI or age on mortality were missing. Comparing MV with non-MV patients, we found an enrichment of baseline CRP, PCT and D-Dimers within the MV-group, but not when comparing survivors vs. non-survivors within the MV patient group.ConclusionsThe aim of this study was to get a more detailed insight into the influence of biometric covariates on the outcome of COVID-19 patients with high degree of severity. We found that survival in MV is affected by complex interactions of covariates differing to the reported covariates, which are hidden in generic, non-stratified studies on risk factors. Hence, our study suggests that a detailed, multivariate pattern analysis on larger patient cohorts reflecting the specific disease stages might reveal more specific patterns of risk factors supporting individually adapted treatment strategies.


2020 ◽  
Author(s):  
Clément Abi Nader ◽  
Nicholas Ayache ◽  
Giovanni B. Frisoni ◽  
Philippe Robert ◽  
Marco Lorenzi ◽  
...  

AbstractRecent failures of clinical trials in Alzheimer’s Disease underline the critical importance of identifying optimal intervention time to maximize cognitive benefit. While several models of disease progression have been proposed, we still lack quantitative approaches simulating the effect of treatment strategies on the clinical evolution. In this work, we present a data-driven method to model dynamical relationships between imaging and clinical biomarkers. Our approach allows simulating intervention at any stage of the pathology by modulating the progression speed of the biomarkers, and by subsequently assessing the impact on disease evolution. When applied to multi-modal imaging and clinical data from the Alzheimer’s Disease Neuroimaging Initiative our method enables to generate hypothetical scenarios of amyloid lowering interventions. Our results show that in a study with 1000 individuals per arm, accumulation should be completely arrested at least 5 years before Alzheimer’s dementia diagnosis to lead to statistically powered improvement of clinical endpoints.


2019 ◽  
Vol 9 ◽  
pp. 2235042X1985249 ◽  
Author(s):  
Mayra Tisminetzky ◽  
Jerry H Gurwitz ◽  
Ruben Miozzo ◽  
Joel M Gore ◽  
Darleen Lessard ◽  
...  

Background: To examine the impact of cardiac- and noncardiac-related conditions on the risk of hospital complications and 7- and 30-day rehospitalizations in older adult patients with an acute myocardial infarction (AMI). Methods and Results: The study population consisted of 3863 adults aged 65 years and older hospitalized with AMI in Worcester, Massachusetts, during six annual periods between 2001 and 2011. Individuals were categorized into four groups based on the presence of 11 previously diagnosed cardiac and noncardiac conditions. The median age of the study population was 79 years and 49% were men. Twenty-eight percent of patients had two or less cardiac- and no noncardiac-related conditions, 21% had two or less cardiac and one or more noncardiac conditions, 20% had three or more cardiac and no noncardiac conditions, and 31% had three or more cardiac and one or more noncardiac conditions. Individuals who presented with one or more noncardiac-related conditions were less likely to have been prescribed evidence-based medications and/or to have undergone coronary revascularization procedures than patients without any noncardiac condition. After multivariable adjustment, individuals with three or more cardiac and one or more noncardiac conditions were at greatest risk for all adverse outcomes. Conclusions: Older patients hospitalized with AMI carry a significant burden of cardiac- and noncardiac-related conditions. Older adults who presented with multiple cardiac and noncardiac conditions experienced the worse short-term outcomes and treatment strategies should be developed to improve their in-hospital and post-discharge care and outcomes.


2012 ◽  
Vol 33 (11) ◽  
pp. 1101-1106 ◽  
Author(s):  
Aurora Pop-Vicas ◽  
Eman Shaban ◽  
Cecile Letourneau ◽  
Angel Pechie

Objective.To determine, among patients with Clostridium difficile infection (CDI) at hospital admission, the impact of concurrent use of systemic, non-CDI-related antimicrobials on clinical outcomes and the risk factors associated with unnecessary antimicrobial prescribing.Design.Retrospective cohort study.Setting.University-affiliated community hospital.Methods.We reviewed computerized medical records for all patients with CDI at hospital admission during a 24-month period (January 1, 2008, through December 31, 2009). Colectomy, discharge to hospice, and in-hospital mortality were considered to be adverse outcomes. Antimicrobial use was considered unnecessary in the absence of physical signs and laboratory or radiological findings suggestive of an infection other than CDI or in the absence of antimicrobial activity against the organism(s) recovered from clinical cultures.Results.Among the 94 patients with CDI at hospital admission, 62% received at least one non-CDI-related antimicrobial during their hospitalization for CDI. Severe complicated CDI (odds ratio [OR], 7.1 [95% confidence interval {CI}, 1.8–28.5]; P = .005), duration of non-CDI-related antimicrobial exposure (OR, 1.2 [95% CI, 1.03–1.36]; P = .016), and age (OR, 1.1 [95% CI, 1.0–1.1]; P = .043) were independent risk factors for adverse clinical outcomes. One-third of the patients received unnecessary antimicrobial therapy. Sepsis at hospital admission (OR, 5.3 [95% CI, 1.8–15.8]; P = .003) and clinical suspicion of urinary tract infection (OR, 9.7 [95% CI, 2.9–32.3]; P< .001) were independently associated with unnecessary antimicrobial prescriptions.Conclusions.Empirical use of non-CDI-related antimicrobials was common. Prolonged exposure to non-CDI-related antimicrobials was associated with adverse clinical outcomes, including increased in-hospital mortality. Minimizing non-CDI-related antimicrobial exposure in patients with CDI seems warranted.


Spine ◽  
2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Deeptee Jain ◽  
Wesley Durand ◽  
Jeremy D. Shaw ◽  
Shane Burch ◽  
Vedat Deviren ◽  
...  

2019 ◽  
Vol 32 (5) ◽  
pp. 348
Author(s):  
Mariana Moutinho ◽  
Inês Simões ◽  
Sónia Rodrigues ◽  
Daisy Abreu ◽  
Emanuel Silva ◽  
...  

Introduction: Peripheral arterial disease has an important impact on morbidity/mortality. The objective of this study was to quantify the impact of this disease in Portugal during the last eight years, expressed by the volume of admissions, treatment strategies and associated morbidity and mortality.Material and Methods: We collected data from the Diagnosis Related Group national database on primary diagnosis, procedures codes, demographic variables, a number of risk factors, and mortality of all cases admitted from 2009 to 2016 with a primary diagnosis of peripheral arterial disease coded according to the 9th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-9).Results: In this study, peripheral arterial disease led to 27 684 hospitalisations, which corresponded to 26.7% of all admissions for vascular disease in this period. Approximately 49.9% of patients were admitted to the emergency department. The volume of procedures in patients with claudication decreased over the eight years, unlike patients with critical ischaemia, in which the number of procedures increased.Discussion: Age and the presence of cardiovascular risk factors have been associated with the severity of disease, as observed in our series. Overall hospital mortality varied, being significantly higher in patients with more advanced severity of the disease.Conclusion: Peripheral arterial disease represents an important burden in the overall volume of admissions in Portuguese public hospitals. A large number of patients was admitted in the context of emergency.


2019 ◽  
Vol 34 (6) ◽  
pp. 632-643 ◽  
Author(s):  
Vamanjore Aboobaker Naushad ◽  
Joost JLM Bierens ◽  
Kunnummel Purayil Nishan ◽  
Chirakkal Paramba Firjeeth ◽  
Osama Hashim Mohammad ◽  
...  

AbstractIntroduction:Medical responders are at-risk of experiencing a wide range of negative psychological health conditions following a disaster.Aim:Published literature was reviewed on the adverse psychological health outcomes in medical responders to various disasters and mass casualties in order to: (1) assess the psychological impact of disasters on medical responders; and (2) identify the possible risk factors associated with psychological impacts on medical responders.Methods:A literature search of PubMed, Discovery Service, Science Direct, Google Scholar, and Cochrane databases for studies on the prevalence/risk factors of posttraumatic stress disorder (PTSD) and other mental disorders in medical responders of disasters and mass casualties was carried out using pre-determined keywords. Two reviewers screened the 3,545 abstracts and 28 full-length articles which were included for final review.Results:Depression and PTSD were the most studied outcomes in medical responders. Nurses reported higher levels of adverse outcomes than physicians. Lack of social support and communication, maladaptive coping, and lack of training were important risk factors for developing negative psychological outcomes across all types of disasters.Conclusions:Disasters have significant adverse effects on the mental well-being of medical responders. The prevalence rates and presumptive risk factors varied among three different types of disasters. There are certain high-risk, vulnerable groups among medical responders, as well as certain risk factors for adverse psychological outcomes. Adapting preventive measures and mitigation strategies aimed at high-risk groups would be beneficial in decreasing negative outcomes.


Author(s):  
V. J. Apea ◽  
Y. I. Wan ◽  
R. Dhairyawan ◽  
Z. A. Puthucheary ◽  
R. M. Pearse ◽  
...  

AbstractBackgroundPreliminary studies suggest that people from Black, Asian and Minority Ethnic (BAME) backgrounds experience higher mortality from COVID-19 but the underlying reasons remain unclear.MethodsProspective analysis of registry data describing patients admitted to five acute NHS Hospitals in east London, UK for COVID-19. Emergency hospital admissions with confirmed SARS-CoV-2 aged 16 years or over were included. Data, including ethnicity, social deprivation, frailty, patient care and detailed risk factors for mortality, were extracted from hospital electronic records. Multivariable survival analysis was used to assess associations between ethnic group and mortality accounting for the effects of age, sex and various other risk factors. Results are presented as hazard ratios (HR) or odds ratios (OR) with 95% confidence intervals.Findings1996 adult patients were admitted between 1st March and 13th May 2020. After excluding 259 patients with missing ethnicity data, 1737 were included in our analysis of whom 511 had died by day 30 (29%). 538 (31%) were from Asian, 340 (20%) Black and 707 (40%) white backgrounds. Compared to White patients, those from BAME backgrounds were younger, with differing co-morbidity profiles and less frailty. Asian and Black patients were more likely to be admitted to intensive care and to receive invasive ventilation (OR 1·54, [1·06-2·23]; p=0·023 and 1·80 [1·20-2·71]; p=0·005, respectively). After adjustment for age and sex, patients from Asian (HR 1·49 [1·19-1·86]; p<0·001) and Black (HR 1·30 [1·02-1·65]; p=0·036) backgrounds were more likely to die. These findings persisted across a range of risk-factor adjusted analyses.InterpretationPatients from Asian and Black backgrounds are more likely to die from COVID-19 infection despite controlling for all previously identified confounders. Higher rates of invasive ventilation in intensive care indicate greater acute disease severity. Our analyses suggest that patients of Asian and Black backgrounds suffered disproportionate rates of premature death from COVID-19.FundingNoneResearch in contextEvidence before this studyWe searched PubMed, Google Scholar, Medrxiv, Trip Medical Database and internet search engines from inception to May 10th 2020, using the terms “(COVID-19 or 2019-nCoV or SARS-CoV-2) AND (ethnicity)”, with no language restrictions, for research articles, editorials and commentaries. We identified 25 articles. Ten were international opinion pieces, fifteen were research articles reporting analyses of national and cohort datasets, predominantly in the United Kingdom (UK) and United States (US). Each of these studies indicated an increased risk of adverse outcomes in people from BAME backgrounds; either in terms of COVID-19 acquisition, disease severity or mortality. However, the underlying causes were unclear. Aggregated US data determined the relative risk of death for those of Black ethnicity compared to White ethnic groups to be 3.57. Three UK biobank cohort studies, limited by low BAME representation, described ethnicity as an independent risk factor of COVID-19 infection, partially attenuated by socio-economic status (SES). Analysis of a London hospital cohort of 520; experiencing 144 deaths, revealed an age and co-morbidity adjusted mortality odds ratio of 1.72 in Black populations of borderline significance. Age and geographical region-adjusted standardised mortality ratios, derived from UK composite hospital data, emphasised ethnic differences; being 2.41 for Bangladeshis and 3.24 for Black Africans. The impact of gender and deprivation was not explored. Another study of 5683 in-hospital deaths (England alone; 629 (11%) BAME) confirmed increased mortality risks in people from Black and Asian groups only partially attributable to social deprivation and co-morbidity but did not adjust for other vulnerability factors. There remained a need for a more detailed analysis of outcomes across different ethnic groups in a large, high acuity dataset, adjusting for broader clinical and laboratory prognostic factors, alongside SES, smoking status, age, body mass index (BMI) and sex.Added value of this studyWe conducted a large observational cohort study of COVID-19 hospital admissions within an area which experienced the highest rates of COVID-19 infection and mortality in the UK. It offers detailed insight into a majority (60%) ethnically diverse cohort and adds substantial evidence that ethnicity is a predictor of poor outcomes for COVID-19 patients at, and beyond, 30 days. Using robust multivariable survival analyses we have quantified and described the impact on this association of a number of additional prognostic factors such as frailty score and markers of inflammation alongside age, sex, deprivation, co-morbidity, BMI and smoking status. Those of Asian and Black ethnicities were consistently found to have an increased risk of 30 and 90 day mortality and an increased risk of requiring mechanical ventilation as compared to those of White ethnicity. The peak CRP and D-dimer levels in those of Black ethnicity were significantly higher than those of other ethnicities suggesting that these biological differences may accompany greater disease severity and increased risk of adverse outcomes.Implications of all the available evidenceIt is clear that ethnicity is a predictor of a positive SARS-CoV2 result, disease severity and mortality, regardless of age, sex, geographical location, deprivation, smoking status, BMI, co-morbidities and frailty. The association appears to be underpinned by a combination of factors including SES, pre-existing health conditions, biological risk factors such as D-dimers, environmental and structural determinants of health; but their relative contribution is unclear. Understanding these drivers is critical to designing interventions and refining clinical and Public Health policies. The evidence also emphasises the need for robust surveillance of ethnicity in health care research.


2008 ◽  
Vol 6 (2) ◽  
pp. 0-0 ◽  
Author(s):  
Ieva Norkienė ◽  
Juozas Ivaškevičius

Ieva Norkienė, Juozas IvaškevičiusVilniaus universiteto Anesteziologijos ir reanimatologijos klinika,Vilniaus greitosios pagalbos universitetinė ligoninė, Šiltnamių g. 29, LT-04130 VilniusEl paštas: [email protected] Šiuolaikinėje širdies chirurgijoje prioritetu tampa ne tik paciento gyvybės išsaugojimas, bet ir sveikatos grąžinimas. Pooperaciniu laikotarpiu pacientų sveikimą ir grįžimą prie įprastinio gyvenimo ritmo, net jei fizinė savijauta gera, dažnai sunkina rečiau ir sunkiau diagnozuojamos neuropsichologinės komplikacijos. Pažintinių (kognityvinių) funkcijų sutrikimai, arba kognityvinė disfunkcija, įvairių autorių duomenimis, gali būti nustatoma net iki 53% pacientų ankstyvuoju pooperaciniu laikotarpiu, o praėjus keleriems metams išlieka apie 20% gydytų ligonių. Ieškant efektyviausių būdų neurologinėms komplikacijoms išvengti, šiuolaikinėje medicinos literatūroje aktyviai svarstoma, kokią įtaką šiai patologinei būklei rastis turi intraoperaciniai veiksniai. Straipsnyje apžvelgiama dirbtinės kraujo apytakos, embolizacijos, hipoperfuzijos ir anestezijos sąsaja su pažintinių funkcijų pokyčiais po kardiochirurginių operacijų. Pagrindiniai žodžiai: pažintinių funkcijų sutrikimai, kardiochirurgija, rizikos veiksniai Cognitive decline after cardiac surgery: the impact of intraoperative factors Ieva Norkienė, Juozas IvaškevičiusClinic of Anesthesiology and Intensive Care of Vilnius UniversityEmergency Hospital, Šiltnamių 29, LT-04130 Vilnius, LithuaniaE-mail: [email protected] The quality of postoperative life becomes one of the most important aspects in assessing the outcomes of any surgical intervention. Recovery from the immediate effects of cardiac surgery is often complicated by less noticeable and hardly diagnosed neuropsychological complications. According to various authors, cognitive decline occurs in up to 53% of patients in the early postoperative period and persists in 20% of patients for a couple of years after surgery. Recent studies suggest that the incidence of these adverse outcomes may be closely related to intraoperative factors. In the present paper, we discuss the influence of cardiopulmonary bypass, embolisation, cerebral hypoperfusion and anesthesia on neurocognitive outcomes after cardiac surgery. Key words: cognitive decline, cardiac surgery, risk factors


2018 ◽  
Vol 9 (5) ◽  
pp. 513-521 ◽  
Author(s):  
Megan McFerson SooHoo ◽  
Sonali S. Patel ◽  
James Jaggers ◽  
Sarah Faubel ◽  
Katja M. Gist

Background: Both the Norwood procedure and acute kidney injury (AKI) are associated with significant morbidity and mortality. The impact of AKI by measured and fluid corrected serum creatinine on outcomes after the Norwood procedure has not been previously studied. The purpose of this study was to (1) identify the incidence of AKI, (2) determine AKI risk factors, and (3) evaluate outcomes in patients with AKI using both measured and fluid corrected serum creatinine. Methods: Single-center retrospective chart review from 2009 to 2015 including neonates who underwent the Norwood procedure. Acute kidney injury was defined by the Kidney Disease Improving Global Outcomes staging criteria using both measured and fluid corrected serum creatinine. Multivariable logistic regression analysis was performed to determine the risk factors associated with AKI. Results: Ninety-five neonates underwent the Norwood procedure. Correcting for fluid overload increased the incidence of AKI from 40% to 44%, increased AKI severity in 15 patients, and improved the identification of adverse outcomes associated with AKI. Patients palliated with the modified Blalock-Taussig shunt (mBTS) had a 9.4 greater odds of fluid corrected AKI compared to those palliated with a right ventricle to pulmonary artery conduit (95% confidence interval [95% CI]: 1.68-52.26, P = .01). A higher vasoactive inotrope score (VIS) on postoperative day (POD) 0 was associated with fluid corrected AKI (odds ratio: 1.20, 95% CI: 1.06-1.35; P = .003). Conclusions: Acute kidney injury is common after the Norwood procedure. Correcting creatinine for fluid balance revealed new cases of AKI. Use of an mBTS and higher VIS on POD 0 were associated with increased risk of AKI.


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