scholarly journals Angiotensin-converting enzyme-1 gene insertion/deletion polymorphism may be associated with COVID-19 clinical severity: a prospective cohort study

2021 ◽  
Vol 41 (3) ◽  
pp. 141-146
Author(s):  
Ozgur Gunal ◽  
Ozlem Sezer ◽  
Goksenin Unluguzel Ustun ◽  
Cagatay Erman Ozturk ◽  
Ahmet Sen ◽  
...  

BACKGROUND: Angiotensin-converting enzyme (ACE) insertion/deletion (I/D) polymorphism may play a role in the pathogenesis of coronavirus-19 disease (COVID-19). OBJECTIVES: Investigate the relationship between ACE I/D polymorphism and the clinical severity of COVID-19. DESIGN: Prospective cohort study. SETTING: Tertiary care hospital. PATIENTS AND METHODS: The study included COVID-19 patients with asymptomatic, mild, and severe disease with clinical data and whole blood samples collected from 1 April 2020 to 1 July 2020. ACE I/D genotypes were determined by polymerase chain reaction and agarose gel electrophoresis. MAIN OUTCOME MEASURE: ACE DD, DI and II genotypes frequencies. SAMPLE SIZE: 90 cases, 30 in each disease severity group. RESULTS: Age and the frequency of general comorbidity increased significantly from the asymptomatic disease group to the severe disease group. Advanced age, diabetes mellitus and presence of ischemic heart disease were independent risk factors for severe COVID-19 [OR and 95 % CI: 1.052 (1.021-1.083), 5.204 (1.006-26.892) and 5.922 (1.109-31.633), respectively]. The ACE II genotype was the dominant genotype (50%) in asymptomatic patients, while the DD genotype was the dominant genotype (63.3 %) in severe disease. The ACE II geno-type was protective against severe COVID-19 [OR and 95% CI: .323 (.112-.929)]. All nine patients (8.9%) who died had severe disease. CONCLUSIONS: The clinical severity of COVID-19 infection may be associated with the ACE I/D polymorphism. LIMITATIONS: Small sample size and single center. CONFLICT OF INTEREST: None.

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Shalika Bohingamu Mudiyanselage ◽  
Jennifer J. Watts ◽  
Julie Abimanyi-Ochom ◽  
Lisa Lane ◽  
Anna T. Murphy ◽  
...  

Background. Parkinson disease (PD) is a costly chronic condition in terms of managing both motor and nonmotor symptoms. The burden of disease is high for individuals, caregivers, and the health system. The aim of this study is to estimate the annual cost of PD from the household, health system, and societal perspectives. Methods. A prospective cohort study of newly referred people with PD to a specialist PD clinic in Melbourne, Australia. Participants completed baseline and monthly health resource use questionnaires and Medicare data were collected over 12 months. Results. 87 patients completed the 12-month follow-up assessments. The mean annual cost per person to the health care system was $32,556 AUD. The burden to society was an additional $45,000 per annum per person with PD. The largest component of health system costs were for hospitalisation (69% of total costs). The costs for people with moderate to severe disease were almost 4 times those with mild PD ($63,569 versus $17,537 p<0.001). Conclusion. PD is associated with significant costs to individuals and to society. Costs escalated with disease severity suggesting that the burden to society is likely to grow with the increasing disease prevalence that is associated with population ageing.


Author(s):  
Anthony P Khawaja ◽  
Alasdair N Warwick ◽  
Pirro G Hysi ◽  
Alan Kastner ◽  
Andrew Dick ◽  
...  

ABSTRACTOBJECTIVESTo identify the sociodemographic, lifestyle, comorbidity and antihypertensive medication associations with the development of hospitalisation with covid-19 in an English population.DESIGNProspective cohort studySETTINGThe population-based UK Biobank study was linked to English covid-19 test results.PARTICIPANTSIndividuals resident in England and alive in 2020.MAIN OUTCOME MEASURESCases (n=605) were defined by a positive covid-19 test result conducted between 16th March and 16th April 2020, during a restricted testing policy for hospitalised individuals with severe disease.RESULTSA total of 406,793 participants were included. Mean age on 1st January 2020 was 68 years (range 48 to 85 years). 55% were women. In multivariable models, major independent risk factors for hospitalisation with covid-19 were male sex (odds ratio 1.52; 95% confidence interval 1.28 to 1.81; P<0.001), South Asian ethnicity (2.02; 1.28 to 3.17; P=0.002) or black ethnicity (3.09; 2.18 to 4.38; P<0.001) compared to white ethnicity, greater residential deprivation (1.92 for most deprived quartile compared to least deprived quartile; 1.50 to 2.47; P<0.001), higher BMI (2.04 for BMI >35 compared to <25 Kg/m2; 1.50 to 2.77; P<0.001), former smoking (1.39 compared to never smoked; 1.16 to 1.66; P<0.001), and comorbidities hypertension (1.28; 1.06 to 1.53; P=0.009) and chronic obstructive pulmonary disease (1.81; 1.34 to 2.44; P<0.001). Increased risk was observed with increasing number of antihypertensive medications used rather than any individual class.CONCLUSIONUnderstanding why these factors confer increased risk of severe covid-19 in the population may help elucidate the underlying mechanisms as well as inform strategy and policy to prevent this disease and its consequences. We found no evidence of increased risk with specific classes of antihypertensive medication.


2021 ◽  
Vol 50 (7) ◽  
pp. 556-565
Author(s):  
Si Ling Young ◽  
Youxin Puan ◽  
Si Yuan Chew ◽  
Haja Mohideen Salahudeen Mohamed ◽  
Pei Yee Tiew ◽  
...  

Introduction: Non-cystic fibrosis bronchiectasis (NCFB) is a highly heterogenous disease. We describe the clinical characteristics of NCFB patients and evaluate the performance of Bronchiectasis Severity Index (BSI) in predicting mortality. Methods: Patients attending the bronchiectasis clinic between August 2015 and April 2020 with radiologically proven bronchiectasis on computed tomography were recruited. Clinical characteristics, spirometry, radiology, microbiology and clinical course over a median period of 2.4 years is presented. Results: A total of 168 patients were enrolled in this prospective cohort study. They were predominantly women (67.8%), Chinese (87.5%) and never-smokers (76.9%). Median age of diagnosis was 64 years (interquartile range 56–71) and the most common aetiology was “idiopathic” bronchiectasis (44.6%). Thirty-nine percent had normal spirometries. Compared to female patients, there were more smokers among the male patients (53.8% versus 8.5%, P<0.001) and a significantly larger proportion with post-tuberculous bronchiectasis (37.0% vs 15.8%, P=0.002). Fifty-five percent of our cohort had a history of haemoptysis. Lower body mass index, presence of chronic obstructive pulmonary disease, ever-smoker status, modified Reiff score, radiological severity and history of exacerbations were risk factors for mortality. Survival was significantly shorter in patients with severe bronchiectasis (BSI>9) compared to those with mild or moderate disease (BSI<9). The hazard ratio for severe disease (BSI>9) compared to mild disease (BSI 0–4) was 14.8 (confidence interval 1.929–114.235, P=0.01). Conclusion: The NCFB cohort in Singapore has unique characteristics with sex differences. Over half the patients had a history of haemoptysis. The BSI score is a useful predictor of mortality in our population. Keywords: Bronchiectasis, exacerbations, gender, haemoptysis, mortality, Reiff score, sex


2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S364-S364
Author(s):  
Stephen Freedman ◽  
Jianling Xie ◽  
Alberto Nettel-Aguirre ◽  
Bonita Lee ◽  
Linda Chui ◽  
...  

Abstract Background Little is known about the association between specific enteropathogens and disease severity in outpatient children with acute gastroenteritis. Recent advances in diagnostics enabling the rapid and simultaneous detection of common enteropathogens have become readily available. While such knowledge can be used to optimize therapy it also has the potential to predict disease severity. Such knowledge can aid clinical decision making, can clarify guidance and expectations provided to families, and can guide public health policy. Methods We conducted a prospective cohort study of children with acute gastroenteritis who were brought for emergency department care. The primary outcome measure was the 20-point Modified Vesikari Scale (MVS) score calculated from symptom onset until day14 of follow-up (total MVS score). Stool and/or rectal swab specimens were collected and analyzed for 18 unique pathogens by molecular diagnostic assays (in-house 5 virus panel, Luminex xTAG Gastrointestinal Pathogen Panel) and/or bacterial culture. An enteropathogen was deemed to be present if a candidate pathogen was identified in the rectal swab or stool specimens by any testing method. Binary logistic regression was performed to assess the association between pathogens (including all pathogens as present or not) and disease severity with the dependent variable being the total MVS score categorized as severe (11–20 points) vs.. non-severe (0–10 points). Results The mean total MVS score (SD) was 12.8 (3.2) and 73.0% (807/1102) of participants experienced severe disease. A pathogen was identified in 72.8% (802/1102) of study participants. Rotavirus, norovirus GII and adenovirus were identified in 26.6% (293/1102), 23.0% (253/1102) and 16.0% (176/1102) of participants respectively. After adjusting for other pathogens significant predictors of severe disease were: rotavirus (OR=8.0; 95% CI: 4.8, 13.2), Salmonella (OR=5.4; 95% CI: 1.2, 24.4), adenovirus (OR=2.1; 95% CI: 1.3, 3.3), and norovirus GII (OR=1.8; 95% CI: 1.3, 2.6). Clostridium difficile (OR=1.6; 95% CI: 0.96, 2.6) and Aeromonas (OR=0.97; 95% CI: 0.2, 4.7) were not significantly associated with severe disease. Conclusion In children with acute gastroenteritis, the enteropathogens associated with severe disease included rotavirus, Salmonella, adenovirus and norovirus GII. Disclosures All authors: No reported disclosures.


2002 ◽  
Vol 23 (11) ◽  
pp. 653-659 ◽  
Author(s):  
Lorraine Kyne ◽  
Stavros Sougioultzis ◽  
Lynne V. McFarland ◽  
Ciarán P. Kelly

Objective:To determine the diagnostic accuracy of an index of underlying disease severity (Horn's index) in identifying patients with a high probability of having nosocomial Clostridium difficile diarrhea as a complication of antimicrobial therapy.Design:A prospective cohort study of 252 adult patients admitted to the hospital and receiving antibiotics. Risk factors for C. difficile diarrhea were first determined retrospectively in a different cohort of 300 hospitalized patients (primary cobort) and then prospectively in this cohort of 252 hospitalized patients receiving antibiotics (secondary cohort). At the time of hospital admission, disease was rated by clinicians as mild (1), moderate (2), severe (3), or extremely severe (4) using a modified Horn's index. Multivariable logistic regression analysis was used to determine the odds ratio (OR) for C. difficile diarrhea associated with increasing levels of disease severity.Setting:An urban teaching hospital affiliated with a medical school in Boston, Massachusetts.Results:The incidence of nosocomial C. difficile diarrhea was 8.7% in the primary cohort and 11% in the secondary cohort. In the prospective cohort study (secondary cohort), the OR for C. difficile diarrhea associated with extremely severe disease was 17.6 (95% confidence interval, 5.8 to 53.5). The sensitivity, specificity, and positive and negative predictive values of a Horn's index score of 3 or more (severe to extremely severe disease) as a predictor of nosocomial C. difficile diarrhea were 79%, 73%, 27%, and 96%, respectively.Conclusions:These findings provide a means of early stratification of hospitalized patients receiving antibiotics according to their risk for nosocomial C. difficile diarrhea. Patients with severe to extremely severe disease at the time of admission may benefit from careful monitoring of antibiotic prescribing and early attention to infection control issues. In the future, these “high-risk” patients may benefit from prophylaxis studies of novel agents being developed to prevent C. difficile diarrhea.


BMC Medicine ◽  
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Yao Ma ◽  
Lisha Hou ◽  
Xiufang Yang ◽  
Zhixin Huang ◽  
Xue Yang ◽  
...  

Abstract Background The coronavirus disease 2019 (COVID-19) has been a pandemic worldwide. Old age and underlying illnesses are associated with poor prognosis among COVID-19 patients. However, whether frailty, a common geriatric syndrome of reduced reserve to stressors, is associated with poor prognosis among older COVID-19 patients is unknown. The aim of our study is to investigate the association between frailty and severe disease among COVID-19 patients aged ≥ 60 years. Methods A prospective cohort study of 114 hospitalized older patients (≥ 60 years) with confirmed COVID-19 pneumonia was conducted between 7 February 2020 and 6 April 2020. Epidemiological, demographic, clinical, laboratory, and outcome data on admission were extracted from electronic medical records. All patients were assessed for frailty on admission using the FRAIL scale, in which five components are included: fatigue, resistance, ambulation, illnesses, and loss of weight. The outcome was the development of the severe disease within 60 days. We used the Cox proportional hazards models to identify the unadjusted and adjusted associations between frailty and severe illness. The significant variables in univariable analysis were included in the adjusted model. Results Of 114 patients, (median age, 67 years; interquartile range = 64–75 years; 57 [50%] men), 39 (34.2%), 39 (34.2%), and 36 (31.6%) were non-frail, pre-frail, and frail, respectively. During the 60 days of follow-up, 43 severe diseases occurred including eight deaths. Four of 39 (10.3%) non-frail patients, 15 of 39 (38.5%) pre-frail patients, and 24 of 36 (66.7%) frail patients progressed to severe disease. After adjustment of age, sex, body mass index, haemoglobin, white blood count, lymphocyte count, albumin, CD8+ count, D-dimer, and C-reactive protein, frailty (HR = 7.47, 95% CI 1.73–32.34, P = 0.007) and pre-frailty (HR = 5.01, 95% CI 1.16–21.61, P = 0.03) were associated with a higher hazard of severe disease than the non-frail. Conclusions Frailty, assessed by the FRAIL scale, was associated with a higher risk of developing severe disease among older COVID-19 patients. Our findings suggested that the use of a clinician friendly assessment of frailty could help in early warning of older patients at high-risk with severe COVID-19 pneumonia.


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258421
Author(s):  
Fredrikke Christie Knudtzen ◽  
Thøger Gorm Jensen ◽  
Susan Olaf Lindvig ◽  
Line Dahlerup Rasmussen ◽  
Lone Wulff Madsen ◽  
...  

Introduction We aimed to examine if severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction (PCR) cycle quantification (Cq) value, as a surrogate for SARS-CoV-2 viral load, could predict hospitalisation and disease severity in adult patients with coronavirus disease 2019 (COVID-19). Methods We performed a prospective cohort study of adult patients with PCR positive SARS-CoV-2 airway samples including all out-patients registered at the Department of Infectious Diseases, Odense University Hospital (OUH) March 9-March 17 2020, and all hospitalised patients at OUH March 10-April 21 2020. To identify associations between Cq-values and a) hospital admission and b) a severe outcome, logistic regression analyses were used to compute odds ratios (OR) and 95% Confidence Intervals (CI), adjusting for confounding factors (aOR). Results We included 87 non-hospitalised and 82 hospitalised patients. The median baseline Cq-value was 25.5 (interquartile range 22.3–29.0). We found a significant association between increasing Cq-value and hospital-admission in univariate analysis (OR 1.11, 95% CI 1.04–1.19). However, this was due to an association between time from symptom onset to testing and Cq-values, and no association was found in the adjusted analysis (aOR 1.08, 95% CI 0.94–1.23). In hospitalised patients, a significant association between lower Cq-values and higher risk of severe disease was found (aOR 0.89, 95% CI 0.81–0.98), independent of timing of testing. Conclusions SARS-CoV-2 PCR Cq-values in outpatients correlated with time after symptom onset, but was not a predictor of hospitalisation. However, in hospitalised patients lower Cq-values were associated with higher risk of severe disease.


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