A practical composite risk score for the development of Haemolytic Uraemic Syndrome from Shiga toxin-producing Escherichia coli

2019 ◽  
Vol 29 (5) ◽  
pp. 861-868 ◽  
Author(s):  
Douglas Hamilton ◽  
John Cullinan
Keyword(s):  
Escherichia Coli ◽  
High Risk ◽  
Risk Score ◽  
Shiga Toxin ◽  
Haemolytic Uraemic Syndrome ◽  
Low Risk ◽  
Medium Risk ◽  
Composite Risk ◽  
Very High ◽  
Estimation Of Risk

Abstract Background Haemolytic Uraemic Syndrome (HUS) is a serious complication of Shiga toxin-producing Escherichia coli (STEC) infection and the key reason why intensive health protection against STEC is required. However, although many potential risk factors have been identified, accurate estimation of risk of HUS from STEC remains challenging. Therefore, we aimed to develop a practical composite score to promptly estimate the risk of developing HUS from STEC. Methods This was a retrospective cohort study where data for all confirmed STEC infections in Ireland during 2013–15 were subjected to statistical analysis with respect to predicting HUS. Multivariable logistic regression was used to develop a composite risk score, segregating risk of HUS into ‘very low risk’ (0–0.4%), ‘low risk’ (0.5–0.9%), ‘medium risk’ (1.0–4.4%), ‘high risk’ (4.5–9.9%) and ‘very high risk’ (10.0% and over). Results There were 1397 STEC notifications with complete information regarding HUS, of whom 5.1% developed HUS. Young age, vomiting, bloody diarrhoea, Shiga toxin 2, infection during April to November, and infection in Eastern and North-Eastern regions of Ireland, were all statistically significant independent predictors of HUS. Demonstration of a risk gradient provided internal validity to the risk score: 0.2% in the cohort with ‘very low risk’ (1/430), 1.1% with ‘low risk’ (2/182), 2.3% with ‘medium risk’ (8/345), 3.1% with ‘high risk’ (3/98) and 22.2% with ‘very high risk’ (43/194) scores, respectively, developed HUS. Conclusion We have developed a composite risk score which may be of practical value, once externally validated, in prompt estimation of risk of HUS from STEC infection.

scholarly journals A practical composite risk score for the development of HUS from STEC infection

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
D Hamilton ◽  
J Cullinan
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Shiga Toxin ◽  
Low Risk ◽  
Bloody Diarrhoea ◽  
Medium Risk ◽  
Shiga Toxin 2 ◽  
Composite Risk ◽  
Very High ◽  
Estimation Of Risk

Abstract Background Haemolytic Uraemic Syndrome (HUS) is a serious complication of Shiga toxin-producing Escherichia coli (STEC) infection and the key reason why intensive health protection against STEC is required. However, although many potential risk factors have been identified, accurate estimation of risk of HUS from STEC remains challenging. Therefore, we aimed to develop a practical composite score to promptly estimate the risk of developing HUS from STEC. Methods This was a retrospective cohort study where data for all confirmed STEC infections in Ireland during 2013-15 were subjected to statistical analysis with respect to predicting HUS. Multivariable logistic regression was used to develop a composite risk score, segregating risk of HUS into very low risk (0-0.4%), low risk (0.5-0.9%), medium risk (1.0-4.4%), high risk (4.5-9.9%) and very high risk (10.0% and over). Results There were 1,397 STEC notifications with complete information regarding HUS, of whom 5.1% developed HUS. Young age, vomiting, bloody diarrhoea, Shiga toxin 2, infection during April to November, and infection in Eastern and North-Eastern regions of Ireland, were all statistically significant independent predictors of HUS. Demonstration of a risk gradient provided internal validity to the risk score: 0.2% in the cohort with very low risk (1/430), 1.1% with low risk (2/182), 2.3% with medium risk (8/345), 3.1% with high risk (3/98) and 22.2% with very high risk (43/194) scores, respectively, developed HUS. Conclusions We have developed a composite risk score which may be of practical value, once externally validated, in prompt estimation of risk of HUS from STEC infection. Key messages We have identified vomiting, bloody diarrhoea, age <10 years, Shiga toxin 2, STEC infection during April-November and in the East/North-East of Ireland as independent predictors of HUS. Using these variables we have developed a practical composite risk score that could be used by clinicians and public health teams to promptly assess the risk of HUS from STEC infection.

A Risk Score to Predict CMV Viremia within the First 100 Days after Allogeneic Stem Cell Transplantation Based on Pre-Transplant Parameters

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3877-3877
Author(s):  
Feras Alfraih ◽  
John Kuruvilla ◽  
Naheed Alam ◽  
Anna Lambie ◽  
Vikas Gupta ◽  
...  
Keyword(s):  
Risk Factors ◽  
Stem Cell ◽  
High Risk ◽  
Risk Score ◽  
Risk Group ◽  
Risk Groups ◽  
Low Risk ◽  
Cmv Infection ◽  
Allogeneic Hsct ◽  
Very High

Abstract Introduction: Cytomegalovirus (CMV) is a major infectious complication following allogeneic hematopoietic stem cell transplantation (HSCT). Risk of CMV infection varies between patients and individualized strategies for monitoring and therapy for CMV are needed. In this study, we attempted to establish a clinical score based on patient and transplant characteristics in order to predict the probability for early CMV viremia (CMV-V) within the first 100 days after HSCT. Methods: A total of 548 patients were evaluated after receiving HSCT between 2005 and 2012 at Princess Margaret Cancer Centre. CMV sero-negative recipients with CMV sero-negative donors (R-D-) were excluded. CMV-V was diagnosed in peripheral blood samples obtained on two occasions either by PCR (>200 IU/ml) or antigenemia testing (>2 positive cells/100000). A total of 378 patients were included into the study. Uni- and multivariable analyses were performed to identify risk factors for CMV-V. A weighted score was assigned to each factor based on the odds ratios determined by the multivariable analysis. A total score was calculated for each patient and used for assignment into one of 4 risk categories, the low risk (score 0-1), the intermediate (score 2-3), the high (score 4-5) and the very high (score 6-8). Median age for all patients was 51 years (range 17-71) and 173 (46%) were female. Matched related donors were used for two hundred fifteen patients (57%). Two hundred forty-three patients (64%) were transplanted for myeloid and 108 (29%) for lymphoid malignancies. One hundred thirteen patients (30%) were CMV sero-positive with a negative donor (R+D-) while 191 (51%) were recipient and donor CMV sero-positivity (R+D+). Graft versus host disease (GVHD) prophylaxis included CSA/MMF (n=200, 52%), and CSA/MTX (n=178, 48%). Myeloablative conditioning regimens were administered to 220 patients (58%), 158 patients (42%) were treated with a reduced intensity regimen. Three hundred-thirty seven patients (89%) received peripheral blood stem cells as a stem cell source. In vivo T cell depletion (TCD) with alemtuzumab was used in 138 (37%). Results: CMV-V occurred in 246 (64%) patients by day 100 post HSCT. The impact of patient and HSCT characteristics on the risk of CMV-V was assessed by multivariable analysis. The significant factors were CMV sero-status R+D- and R+D+, TCD, GVHD prophylaxis with MMF administration of myeloablative preparative regimens (Table 1). Table 1. Multivariate analysis for risk factors of CMV infection following allogeneic HSCT Table 1. Multivariate analysis for risk factors of CMV infection following allogeneic HSCT CMV-V rates on the 4 new risk categories amounted to 93% in the very high-risk, 78% in high-risk, 41% in intermediate-risk and 11% in low-risk group (Fig 1). The risk score was also predictive for the occurrence of multiple CMV-V reactivations with rates of 71%, 45%, 19% and 4% for the very high, high, intermediate and low-risk groups, respectively. The overall survival (OS) rate at 2 years was 33%(n=56) in the very high-risk group compared to 50% in other-risk groups (n=147) (P=0.01) (Fig 2). Non-relapse mortality (NRM) was 53% in the very high-risk versus 33% in other-risk groups (P<0.001). However, there was no difference on cumulative incidence of relapse between the groups (P=0.3). The cumulative incidence of grades 1-4 acute GVHD, grades 2-4, grades 3-4 at day 120 and overall chronic GVHD at 2 years was 68%, 47%, 25% and 39% in very high-risk group versus 65%, 52%, 21% and 52% in other-risk groups, suggesting slightly lower incidence of chronic GVHD in very high-risk vs other-risk groups. Conclusion: We present a new clinical scoring system to stratify the risk of early CMV viremia after allogeneic HSCT based on patients and HSCT characteristics. Identifying the risk for each patient would facilitate decision making with respect to strategies including CMV prophylaxis, pre-emptive treatment or inclusion into clinical trials, as well directing the CMV monitoring policy post-transplant. In addition, the risk score was associated with higher risk of overall mortality and NRM in the very high-risk versus other-risk groups. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.

MO280VALIDATION OF AN ANCA ASSOCIATED VASCULITIS RENAL RISK SCORE IN THE SOUTH WEST OF ENGLAND

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Ailish Nimmo ◽  
Arvind Singh ◽  
Jena Hopkins ◽  
Anna Rixon ◽  
Spoorthy Sreerama ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Kidney Biopsy ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Renal Survival ◽  
Anca Associated Vasculitis ◽  
Medium Risk

Abstract Background and Aims Determining the renal prognosis for patients with ANCA associated vasculitis (AAV) is important in guiding treatment decisions, including balancing the risks and benefits of aggressive immunosuppression, and informing patients of their likely trajectory. We examined the performance of the clinicopathologic risk stratification tool developed by Brix et al. 1 in determining renal outcomes in a cohort of AAV patients in the South West of England. Method A retrospective review of case notes of patients diagnosed with AAV between 2010 and 2020 from two renal units (Bristol and Plymouth) was performed. Patients were followed up until 1st August 2020. Demographic details, kidney function at presentation and initial treatment regime were collected alongside kidney biopsy data. The renal risk score divides patients into three groups determined as being at low, medium and high risk of adverse renal outcomes based on (1) the percentage of normal glomeruli on kidney biopsy, (2) the percentage of tubular atrophy and interstitial fibrosis on kidney biopsy and (3) eGFR at diagnosis. The outcome of interest was the development of end stage kidney disease (ESKD), defined as a dialysis requirement &gt;3months or kidney transplantation. Patients were censored for death. Results In total 93 individuals were diagnosed with AAV over the study period; 51% were female and the median age at diagnosis was 69 years [IQR 60-78]. ANCA subclass was MPO positive in 73% of cases, PR3 positive in 19% and ANCA negative in 8%. At presentation, 42% had an eGFR below 15ml/min/1.73m2. With respect to risk scores, 17% of individuals were low risk (n=16), 52% were medium risk (n=48) and 31% were high risk (n=29). Median follow up was 3.2 years [IQR 1.3-5.9], over which time 18% of patients developed ESKD (1 in the low risk group, 7 in the medium risk group and 9 in the high risk group). A further 20% of patients died. A Kaplan-Meier survival curve (Figure 1) demonstrated worsening renal survival with rising risk group (Log-rank test, p=0.05). At 1 year, 74 patients (80%) were alive and in these individuals renal survival was 100% in the low risk group, 91% in medium risk group and 75% in the high risk group. Conclusion Overall, 18% of patients developed ESKD over a median follow up of 3.2 years. The renal risk score developed by Brix et al. helps prognosticate renal survival and may assist in shared decision making with patients regarding treatment options. The score demonstrates the importance of the degree of chronicity in determining renal survival. Further work in larger cohorts to compare the performance of the risk score in different subgroups of patients with AAV would be informative.

scholarly journals Prostate Cancer Survival By Risk of Progression and Other Prognostic Factors in Mallorca, Spain

2021 ◽  
Author(s):  
Juan-José Montaño ◽  
Antoni Barceló ◽  
Paula Franch ◽  
Jaume Galceran ◽  
Alberto Ameijide ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Cancer Survival ◽  
Cox Regression ◽  
Strong Relationship ◽  
Low Risk ◽  
Medium Risk ◽  
Risk Of Progression ◽  
Very High

Abstract Objectives: 1) to find out the distribution of prostate cancer by risk of progression; 2) to determine the cause-specific survival by risk of progression in prostate cancer; 3) to identify the factors associated with the risk of dying from this cancer.Methods: Incident prostate cancer cases diagnosed between 2006 and 2011 were identified through the Mallorca Cancer Registry. Inclusion criteria: invasive cases with code C61.9 and any histology. Cases identified exclusively through death certificate were excluded. We collected: age; date and method of diagnosis; date of follow-up or death; T, N, M and stage according to the TNM 7th edition; Gleason score; PSA; histology according to the ICD-O 3rd edition 6 ; comorbidities and treatments. We calculated risk in 4 categories: low, medium, high and very high. End point of follow-up was 31 December 2014. Multiple imputation (MI) was performed to estimate cases with unknown risk of progression. Survival analysis was performed using the actuarial and Kaplan-Meier methods, as well as the Cox regression model.Results: We identified 2921 cases. After MI, 9.5% had low risk, 24.9% medium risk, 42.7% high risk and 22.9% very high risk. Five years after diagnosis, survival after MI was 89% globally, that being 100% for low risk cases, 96% for medium risk, 93% for high risk and 69% for very high risk. Cases with histology other than adenocarcinoma, with high and, especially, very high risk of progression, as well as with systemic, mixed and observation/unspecified treatments have worse prognosis. Treatment showed a strong relationship with age and life expectancy.Conclusions: Risk of progression and treatment were the main variables associated to survival in prostate cancer.

scholarly journals CHA2DS2-VASc Calculations in Patients with Atrial Fibrillation receiving oral anticoagulants in Scotland: an analysis of linked administrative data

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Wenjie Zeng ◽  
Tanja Mueller ◽  
Brian Godman ◽  
Samantha Alvarez-Madrazo ◽  
Marion Bennie
Keyword(s):  
Atrial Fibrillation ◽  
High Risk ◽  
Vascular Disease ◽  
Risk Score ◽  
Thromboembolic Event ◽  
Stroke Risk ◽  
Oral Anticoagulants ◽  
Low Risk ◽  
Medium Risk ◽  
Icd 10

ABSTRACT ObjectivesPatients with atrial fibrillation (AF) have an increased risk of developing stroke, and oral anticoagulants (OACs) are commonly used in stroke prevention. The CHA2DS2-VASc score has been proved to be a simple and effective tool for stroke risk assessment which guides the selection of treatment with OACs. This score is calculated using disease diagnoses; however, a range of different versions exist, making comparability questionable. The aim of this study was to compare CHA2DS2-VASc scores in OAC treated patients with a hospital-confirmed diagnosis of AF in Scotland using different subsets of ICD-10 codes. Approach This is a retrospective study, covering AF patients in Scotland who received at least one prescription for any OAC between January 2009 and June 2014. The Prescribing Information System (PIS) was used to identify patients with OAC prescriptions, while the Scottish Morbidity Records (SMR) provided patients’ diagnoses. Different sets of ICD-10 codes, using varying definitions, were used to classify the stroke risk in AF patients in order to account for heterogenous definitions applied in previously published studies. The main differences in codes used were the inclusion or exclusion of unclassified stroke (ICD-10 code I64), and the inclusion of pulmonary embolism (PE) (I26) as either “prior thromboembolic event” or “vascular disease”. ResultsIn our study, a cohort of 71012 AF patients with OAC prescription were analysed. Using narrow disease definitions, 18.15% of patients were categorised as being at low risk of stroke (score 0-1), 74.80% at medium risk (score 2-5), and 7.04% at high risk (score 6-9). With an extended disease definition, including PE in “prior thromboembolic event”, 14.81% of patients were at low risk (score 0-1), 72.60% at medium risk (score 2-5), and 12.59% at high risk (score 6-9); while including PE in “vascular disease”, 14.99% of the patients had a score 0-1, 73.54% a score 2-5, and 11.48% a score 6-9. Conclusion The change in score definitions makes a difference mainly in the number of patients categorised as very low risk or high risk. Standardisation in ICD-10 code definition of risk diseases could be useful in order to make the results comparable from different studies and further evaluate OAC choice according to risk group.

scholarly journals A retrospective HEART risk score comparation of acute non-traumatic chest pain patients in an emergency department in Spain

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Iris Nathalie San Román Arispe ◽  
Josep Ramón Marsal Mora ◽  
Oriol Yuguero Torres ◽  
Marta Ortega Bravo
Keyword(s):  
Emergency Department ◽  
Chest Pain ◽  
High Risk ◽  
Risk Score ◽  
Major Adverse Cardiovascular Event ◽  
Risk Groups ◽  
Low Risk ◽  
Adverse Cardiovascular Event ◽  
Heart Score ◽  
Medium Risk

AbstractNon traumatic chest pain is the second most common cause of attention at the Emergency Departments (ED). The objective is to compare the effectiveness of HEART risk score and the risk of having a Major Adverse Cardiovascular Event (MACE) during the following 6 weeks in ‘Acute Non-traumatic Chest Pain’ (ANTCP) patients of an ED in Lleida (Spain). The ANTCP patient cohort was defined using medical data from January 2015 to January 2016. A retrospective study was performed among 300 ANTCP patients. Diagnostic accuracy to predict MACE, HEART risk score effectiveness and patient risk stratification were analysed on the ANTCP Cohort. HEART risk score was conducted on ANTCP Cohort data and patients were stratified as low-risk (n = 116, 38.7%), moderate-risk (n = 164, 54.7%) and high-risk (n = 20, 6.7%); differently from the assessment performed by 'Current Emergency Department Guidelines’ (CEDG) on the same patients: low risk and discharge (n = 56, 18.7%), medium risk and need of complementary tests (n = 137, 45.7%) and high risk and hospital admission (n = 107, 35.7%).The incidence of MACE was 2.5%, 20.7% and 100% in low, moderate and high-risk, respectively. Discrimination and accuracy indexes were moderate (AUC = 0.73, 95% confidence interval: 0.67–0.80). Clustering moderate-high risk groups by MACE incidence showed an 89.5% of sensitivity. Data obtained from this study suggests that HEART risk score stratified better ‘acute non-traumatic chest pain’ (ANTCP) patients in an Emergency Department (ED) compared with ‘Current Emergency Department Guidelines’ (CEDG) at the Hospital Universitari Arnau de Vilanova (HUAV). HEART score would reduce the number of subsequent consultations, unnecessary admissions and complementary tests.Trial registration: Retrospectively registered.

scholarly journals A Peri-Implant Disease Risk Score for Patients with Dental Implants: Validation and the Influence of the Interval between Maintenance Appointments

2019 ◽  
Vol 8 (2) ◽  
pp. 252 ◽  
Author(s):  
Miguel de Araújo Nobre ◽  
Francisco Salvado ◽  
Paulo Nogueira ◽  
Evangelista Rocha ◽  
Peter Ilg ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Disease Risk ◽  
Disease Incidence ◽  
Risk Groups ◽  
Risk Profile ◽  
Moderate Risk ◽  
C Statistic ◽  
Disease Risk Score ◽  
Very High

Background: There is a need for tools that provide prediction of peri-implant disease. The purpose of this study was to validate a risk score for peri-implant disease and to assess the influence of the recall regimen in disease incidence based on a five-year retrospective cohort. Methods: Three hundred and fifty-three patients with 1238 implants were observed. A risk score was calculated from eight predictors and risk groups were established. Relative risk (RR) was estimated using logistic regression, and the c-statistic was calculated. The effect/impact of the recall regimen (≤ six months; > six months) on the incidence of peri-implant disease was evaluated for a subset of cases and matched controls. The RR and the proportional attributable risk (PAR) were estimated. Results: At baseline, patients fell into the following risk profiles: low-risk (n = 102, 28.9%), moderate-risk (n = 68, 19.3%), high-risk (n = 77, 21.8%), and very high-risk (n = 106, 30%). The incidence of peri-implant disease over five years was 24.1% (n = 85 patients). The RR for the risk groups was 5.52 (c-statistic = 0.858). The RR for a longer recall regimen was 1.06, corresponding to a PAR of 5.87%. Conclusions: The risk score for estimating peri-implant disease was validated and showed very good performance. Maintenance appointments of < six months or > six months did not influence the incidence of peri-implant disease when considering the matching of cases and controls by risk profile.

scholarly journals Proposal for the use of echocardiography in bloodstream infections due to different streptococcal species

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sandra Chamat-Hedemand ◽  
Niels Eske Bruun ◽  
Lauge Østergaard ◽  
Magnus Arpi ◽  
Emil Fosbøl ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
High Risk ◽  
Blood Culture ◽  
Positive Blood Culture ◽  
Bloodstream Infections ◽  
Low Risk ◽  
Moderate Risk ◽  
Streptococcal Species ◽  
Very High

Abstract Background Infective endocarditis (IE) is diagnosed in 7–8% of streptococcal bloodstream infections (BSIs), yet it is unclear when to perform transthoracic (TTE) and transoesophageal echocardiography (TOE) according to different streptococcal species. The aim of this sub-study was to propose a flowchart for the use of echocardiography in streptococcal BSIs. Methods In a population-based setup, we investigated all patients admitted with streptococcal BSIs and crosslinked data with nationwide registries to identify comorbidities and concomitant hospitalization with IE. Streptococcal species were divided in four groups based on the crude risk of being diagnosed with IE (low-risk < 3%, moderate-risk 3–10%, high-risk 10–30% and very high-risk > 30%). Based on number of positive blood culture (BC) bottles and IE risk factors (prosthetic valve, previous IE, native valve disease, and cardiac device), we further stratified cases according to probability of concomitant IE diagnosis to create a flowchart suggesting TTE plus TOE (IE > 10%), TTE (IE 3–10%), or “wait & see” (IE < 3%). Results We included 6393 cases with streptococcal BSIs (mean age 68.1 years [SD 16.2], 52.8% men). BSIs with low-risk streptococci (S. pneumoniae, S. pyogenes, S. intermedius) are not initially recommended echocardiography, unless they have ≥3 positive BC bottles and an IE risk factor. Moderate-risk streptococci (S. agalactiae, S. anginosus, S. constellatus, S. dysgalactiae, S. salivarius, S. thermophilus) are guided to “wait & see” strategy if they neither have a risk factor nor ≥3 positive BC bottles, while a TTE is recommended if they have either ≥3 positive BC bottles or a risk factor. Further, a TTE and TOE are recommended if they present with both. High-risk streptococci (S. mitis/oralis, S. parasanguinis, G. adiacens) are directed to a TTE if they neither have a risk factor nor ≥3 positive BC bottles, but to TTE and TOE if they have either ≥3 positive BC bottles or a risk factor. Very high-risk streptococci (S. gordonii, S. gallolyticus, S. mutans, S. sanguinis) are guided directly to TTE and TOE due to a high baseline IE prevalence. Conclusion In addition to the clinical picture, this flowchart based on streptococcal species, number of positive blood culture bottles, and risk factors, can help guide the use of echocardiography in streptococcal bloodstream infections. Since echocardiography results are not available the findings should be confirmed prospectively with the use of systematic echocardiography.

scholarly journals Assessing the clinical utility of genetic risk scores for targeted cancer screening

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Carly A. Conran ◽  
Zhuqing Shi ◽  
William Kyle Resurreccion ◽  
Rong Na ◽  
Brian T. Helfand ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Primary Care ◽  
High Risk ◽  
Risk Score ◽  
Genetic Risk ◽  
Clinical Utility ◽  
Low Risk ◽  
Risk Scores ◽  
Average Risk ◽  
Genetic Risk Scores

Abstract Background Genome-wide association studies have identified thousands of disease-associated single nucleotide polymorphisms (SNPs). A subset of these SNPs may be additively combined to generate genetic risk scores (GRSs) that confer risk for a specific disease. Although the clinical validity of GRSs to predict risk of specific diseases has been well established, there is still a great need to determine their clinical utility by applying GRSs in primary care for cancer risk assessment and targeted intervention. Methods This clinical study involved 281 primary care patients without a personal history of breast, prostate or colorectal cancer who were 40–70 years old. DNA was obtained from a pre-existing biobank at NorthShore University HealthSystem. GRSs for colorectal cancer and breast or prostate cancer were calculated and shared with participants through their primary care provider. Additional data was gathered using questionnaires as well as electronic medical record information. A t-test or Chi-square test was applied for comparison of demographic and key clinical variables among different groups. Results The median age of the 281 participants was 58 years and the majority were female (66.6%). One hundred one (36.9%) participants received 2 low risk scores, 99 (35.2%) received 1 low risk and 1 average risk score, 37 (13.2%) received 1 low risk and 1 high risk score, 23 (8.2%) received 2 average risk scores, 21 (7.5%) received 1 average risk and 1 high risk score, and no one received 2 high risk scores. Before receiving GRSs, younger patients and women reported significantly more worry about risk of developing cancer. After receiving GRSs, those who received at least one high GRS reported significantly more worry about developing cancer. There were no significant differences found between gender, age, or GRS with regards to participants’ reported optimism about their future health neither before nor after receiving GRS results. Conclusions Genetic risk scores that quantify an individual’s risk of developing breast, prostate and colorectal cancers as compared with a race-defined population average risk have potential clinical utility as a tool for risk stratification and to guide cancer screening in a primary care setting.

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