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Welcome to the Risk Assesment Tool System (RATS). Please select the desired values from the list below.
GeneralCardiovascularKidney
The EuroSida risk score algorithm is used to calculate a given individuals risk of new AIDS or death occuring within the next 3, 6 and 12 months. Required information: Gender, age, weight, height, CD4 measurements, infected via IDU, AIDS at start of cART, ART experience, ART status, HIV viral load & haemoglobin.

2007 Sep - Mocroft A et al.
Abstract
The FENCE score estimates the risk of developing febrile neutropenia in the first cycle of chemotherapy in treatment-naïve patients with solid cancers or diffuse large b-cell lymphoma treated with standard first-line chemotherapy. Required information: Cycle length, age, gender, planned length of the first cycle, cancer type, disease stage, albumin, bilirubin, eGFR, CRP, infection before chemotherapy, number of and types of chemotherapy drugs.

2018 – Aagaard T et al.
Abstract
The CSRFENCE score estimates the risk of developing febrile neutropenia in any of the cycles 2-6 of standard first-line chemotherapy in patients with solid cancers. Required information: Cycle length, FENCE risk group, types of chemotherapy drugs, radiotherapy, cycle number, FN or neutropenia in previous cycles, G-CSF prophylaxis.

2019 – Aagaard T et al.
Abstract
The D:A:D (R) CVD prediction tool/algorithm is based on a reduced model, and estimates the risk of an individual developing a cardiovascular disease (CVD) within the next 5 and 10 years. The D:A:D (R) does not include ART as parameters, an can be used in settings where this information is not readily available. Required information: Gender, age, smoking status, diabetes (diagnosis or on antidiabetic treatment), family CVD history, systolic BP, total cholesterol, HDL, and CD4-count. The composite CVD outcome includes: Myocardial infarction, stroke, invasive coronary artery procedure (including coronary artery by-pass or angioplasty and carotid artery endarterectomy) or death from coronary heart disease. Constraint: The D:A:D (R) model is valid for HIV infected individuals aged 18-75 years.

2016 Jan - Friis-Møller N et al.
Abstract
The D:A:D (F) CVD prediction tool/algorithm is based on a full model, and estimates the risk of an inividual developing a cardiovascular disease (CVD) within the next 5 and 10 years. Required information: Gender, age, smoking status, diabetes (diagnosis or on antidiabetic treatment), family CVD history, systolic BP, total cholesterol, HDL, CD4, cumulative PI exposure, cumulative NRTI exposure & current abacavir use. The composite CVD outcome includes: Myocardial infarction, stroke, invasive coronary artery procedure (including coronary artery by-pass or angioplasty and carotid artery endarterectomy) or death from coronary heart disease. Constraint: The D:A:D (F) model is valid for HIV infected individuals aged 18-75 years, with cumulative NRTI exposure up to about 8-10 years, and PI exposure up to around 5-6 years. Extrapolating beyond these exposures without recalibrating will lead to over estimates of CVD risk. For individuals who are highly exposed to ART, use of the D:A:D (R) model is recommended.

2016 Jan - Friis-Møller N et al.
Abstract
The Framingham algorithm estimates the risk of developing a cardiovascular disease within the next 5 years (modified to be compared with the D:A:D CVD 5 year risk score) and next 10 years (original Framingham risk score). The Framingham model is valid for individuals aged 30 to 75. Required information: Gender, age, smoking status, diabetes (diagnosis or on antidiabetic treatment), systolic BP, antihypertensive treatment, total cholesterol, HDL

2016 Jan - Friis-Møller N et al.
Abstract

2008 Feb, D'Agostino RB Sr et al.
Abstract
Number needed to harm estimates the risk of a myocardial infarction appearing in HIV-1-positive individual treated with abacavir within 5 or 10 years. Required information: Gender, age, smoking status, diabetes, LVH visible on ECG, systolic BP, cholesterol, HDL & personal CVD history.

2010 Mar - Kowalska JD et al.
Abstract
This algorithm calculates the estimated glomerular filtration using MDRD (Modification of Diet in Renal Disease Study Group). Required information: Gender, age, ethnicity, plasma creatinine, urea nitrogen and albumin

1999 Mar - Levey AS et al.
Abstract
The short chronic kidney disease algorithm calculates the possibility of an individual developing CKD within the next five years. The short version of this algorithm disregards smoking status, hypertension, diabetes, and prior CVD. Required information: Age, gender, GFR, IDU as HIV-risk group, HCV, & nadir CD4.
If this is selected in combination with the estimated glomerular filtration rate algorithm, it will be used to calculate the GFR needed by this algorithm.

2015 Mar - Mocroft A et al.
Abstract
The full chronic kidney disease algorithm calculates the possibility of developing CKD within the next five years. Required information: Age, gender, IDU as HIV-risk group, HCV, nadir CD4, hypertension history, personal CVD history & diabetes.
If this is selected in combination with the estimated glomerular filtration rate algorithm, it will be used to calculate the GFR needed by this algorithm.

2015 Mar - Mocroft A et al.
Abstract
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