Search

Aims The 2021 European Society of Cardiology (ESC) guideline on cardiovascular disease (CVD) prevention categorizes moderate and severe chronic kidney disease (CKD) as high and very-high CVD risk status regardless of other factors like age and does not include estimated glomerular filtration rate (eGFR) and albuminuria in its algorithms, systemic coronary risk estimation 2 (SCORE2) and systemic coronary risk estimation 2 in older persons (SCORE2-OP), to predict CVD risk. We developed and validated an ‘Add-on’ to incorporate CKD measures into these algorithms, using a validated approach. Methods In 3,054 840 participants from 34 datasets, we developed three Add-ons [eGFR only, eGFR + urinary albumin-to-creatinine ratio (ACR) (the primary Add-on), and eGFR + dipstick proteinuria] for SCORE2 and SCORE2-OP. We validated C-statistics and net reclassification improvement (NRI), accounting for competing risk of non-CVD death, in 5,997 719 participants from 34 different datasets. Results In the target population of SCORE2 and SCORE2-OP without diabetes, the CKD Add-on (eGFR only) and CKD Add-on (eGFR + ACR) improved C-statistic by 0.006 (95%CI 0.004–0.008) and 0.016 (0.010–0.023), respectively, for SCORE2 and 0.012 (0.009–0.015) and 0.024 (0.014–0.035), respectively, for SCORE2-OP. Similar results were seen when we included individuals with diabetes and tested the CKD Add-on (eGFR + dipstick). In 57 485 European participants with CKD, SCORE2 or SCORE2-OP with a CKD Add-on showed a significant NRI [e.g. 0.100 (0.062–0.138) for SCORE2] compared to the qualitative approach in the ESC guideline. Conclusion Our Add-ons with CKD measures improved CVD risk prediction beyond SCORE2 and SCORE2-OP. This approach will help clinicians and patients with CKD refine risk prediction and further personalize preventive therapies for CVD.

Fan Zhang,1– 3 Geertruida H de Bock,1 Petra Denig,4 Gijs W Landman,5 Qingying Zhang,2 Grigory Sidorenkov1 1Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; 2Department of Preventive Medicine, Shantou University Medical College, Shantou, People’s Republic of China; 3Oncology Research Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, People’s Republic of China; 4Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; 5Department of Internal Medicine, Gelre Hospital, Apeldoorn, the NetherlandsCorrespondence: Grigory Sidorenkov, Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands, Email g.sidorenkov@umcg.nlPurpose: Women with type 2 diabetes mellitus (T2DM) have an increased risk of breast cancer. We aimed to determine the contribution of lipids, glucose and blood pressure to this risk based on the multifactorial nature of T2DM.Patients and Methods: This population-based cohort study used data from a Dutch database (the Groningen Initiative to Analyse Type 2 Diabetes Treatment) for the period 2004– 2013. The cohort included women diagnosed with T2DM, aged 30– 80 years, with no history of breast cancer and with follow-up data for at least 1 year. We used Cox proportional hazards models to estimate the associations of exposures with breast cancer occurrence, reporting adjusted hazard ratios (aHR) with 95% confidence intervals (CI). Exposures of interest included total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides, glycated hemoglobin A (HbA1c) and systolic blood pressure (SBP).Results: During a median of 4.45 years’ follow-up, 183 of 10,183 included women received a breast cancer diagnosis. We observed U-shaped associations with breast cancer incidence for total cholesterol and HDL-C at baseline. Compared with moderate elevations, women had significantly higher breast cancer risks associated with high total cholesterol (aHR, 95% CI: 1.72, 1.15– 2.55) and HDL-C (aHR, 95% CI: 1.74, 1.18– 2.58) levels, while low total cholesterol (aHR, 95% CI: 1.43, 0.94– 2.19) and HDL-C (aHR, 95% CI: 1.44, 0.95– 2.17) levels produced marginal effects without significance. Women with high LDL-C levels more often received a breast cancer diagnosis than those with medium levels (aHR, 95% CI: 1.56, 1.03– 2.35).Conclusion: This real-world dataset highlights the importance of balancing lipid profiles, particularly total cholesterol and HDL-C. Dysregulation of the lipid profile, not the glucose or blood pressure profiles, may increase the risk of breast cancer in women with T2DM.Keywords: cholesterol, triglycerides, glycated hemoglobin A, systolic blood pressure, breast cancer

BACKGROUND Nonspecific symptoms in children suspected of Lyme borreliosis (LB) are challenging for clinicians. We assessed whether nonspecific symptoms are more prevalent among children with positive immunoglobulin G (IgG) serology or a history of clinical LB. METHODS We included children (

Objectives There is controversy whether non-specific symptoms can be related to previous Lyme borreliosis (LB). Positive serology can be considered a proxy for previous or persistent LB. We assessed non-specific symptoms and serology in patients suspected of LB referred to a Lyme centre. Methods Included were adult patients who visited a Lyme centre between 2008 and 2014. Before medical consultation, serum samples were taken and questionnaires on non-specific symptoms completed. The prevalence of non-specific symptoms was calculated for patients with positive and negative IgG serology. Logistic regression was used to obtain odds ratios (ORs) with 95% confidence interval (CI) for an association between positive serology and non-specific symptoms. Results Of 1439 included patients, 31.6% (455/1439) had positive serology. The most common non-specific symptoms were severe fatigue (61.4%, 883/1439), sleep disturbances (54.8%, 789/1439) and stiffness of neck/back (52.6%, 757/1439). The prevalence of severe fatigue was 53.0% (241/455) in patients with positive serology vs. 65.2% (642/984) in patients with negative serology (OR = 0.74; 95% CI, 0.58–0.94). The prevalence of sleep disturbances was respectively 46.2% (210/455) vs. 58.8% (579/984) (OR = 0.73; 95% CI, 0.58–0.93). The prevalence of stiffness of neck/back was respectively 47.7% (217/455) vs. 54.9% (540/984) (OR = 0.85; 95% CI, 0.67–1.06). Conclusions In patients referred to a Lyme centre, non-specific symptoms did not occur more frequently in patients with positive serology compared to patients with negative serology. Hence, a questionnaire on non-specific symptoms cannot be used for identifying patients with possible post-LB symptoms in clinical practice.

A two-step testing strategy is recommended in serological testing for Lyme borreliosis; positive and indeterminate enzyme-linked immunosorbent assay (ELISA) results are confirmed with immunoblots. Several ELISAs quantify the concentration of antibodies tested, however, no recommendation exists for an upper cut-off value at which an IgG ELISA is sufficient and the immunoblot can be omitted. The study objective was to determine at which IgG antibody level an immunoblot does not have any additional predictive value compared to ELISA results. Data of adult patients who visited a tertiary Lyme centre between 2008 and 2014 were analysed. Both an ELISA (Enzygnost Lyme link VlsE IgG) and immunoblot (recomLine blot Borrelia) were performed. Clinical data were extracted from the patient's digital medical record. Positive predictive values (PPVs) for either previous or active infection with Borrelia burgdorferi s.l. were calculated for different cut-off ELISA IgG antibody levels where the immunoblot was regarded as reference test. In total, 1454 patients were included. According to the two-step test strategy, 486 (33%), 69 (5%) and 899 (62%) patients had positive, indeterminate and negative Borrelia IgG serology, respectively. At IgG levels of 500 IU/ml and higher, all immunoblots were positive, resulting in a 100% PPV (95% CI: 97.0-100). At IgG levels of 200 IU/ml and higher, the PPV was 99.3% (95% CI: 97.4-99.8). In conclusion, at IgG levels of 200 IU/ml and higher, an ELISA was sufficient to detect antibodies to Borrelia burgdorferi s.l. At those IgG levels, a confirmatory immunoblot may be omitted in patients referred to a tertiary Lyme centre. Before these results can be implemented in routine diagnosis of Lyme borreliosis, confirmation of the results is necessary in other patient populations and using other quantitative ELISAs and immunoblots.

Background Controversy exists whether mood disorders, such as depression, are associated with Lyme borreliosis (LB). The study objective was to assess prevalence of depressive symptoms in subgroups of patients referred to a tertiary Lyme center, to investigate whether depressive symptoms can be used in clinical practice to discriminate for LB. Methods This cohort study included adult patients who visited a tertiary Lyme center between January 2008 and December 2014. Prior to medical consultation, serum samples were taken and the Beck Depression Inventory II was completed to assess depressive symptoms. Lyme diagnosis was retrospectively extracted from the patient's medical record. Patients were classified based on clinical LB and serology results. Prevalence of moderate/severe depressive symptoms was calculated. Using logistic regression, odds ratios with 95% confidence intervals (CIs) were calculated for moderate/severe depressive symptoms. Results In total, 1454 patients were included. Prevalence of moderate/severe depressive symptoms was lowest in patients with no clinical LB and positive serology (15.3%), higher in patients with clinical LB with positive and negative serology (19.3% and 20.9% respectively), and highest in patients with no clinical LB and negative serology (29.3%). The odds ratio for moderate/severe depressive symptoms in patients with LB and positive serology was 0.71 (95% CI, .50-1.03) compared to patients with no LB and negative serology. Conclusions The prevalence of depressive symptoms was similar in patients with LB compared to patients with no evidence of infection. This suggests that depressive symptoms cannot be used to discriminate for LB in a tertiary Lyme center.

Making a distinction between facial palsy due to Lyme neuroborreliosis (LNB) and idiopathic facial palsy (IFP) is of importance to ensure timely and adequate treatment. The study objective was to assess incidence and patient characteristics of facial palsy due to LNB. Hospital records were reviewed of adult patients with facial palsy visiting the departments of neurology and/or otorhinolaryngology of Gelre hospitals between June 2007 and December 2017. Gelre hospitals are located in an area endemic for Lyme borreliosis. Patients with LNB had pleocytosis and intrathecal antibody production or pleocytosis with positive IgG serology. Patients with IFP had negative serology. Clinical characteristics were compared between patients with LNB and patients with IFP. Five hundred and fifty-nine patients presented with facial palsy, 4.7% (26) had LNB and 39.4% (220) IFP. The incidence of facial palsy due to LNB was 0.9/100 000 inhabitants/year. Over 70% of patients with facial palsy due to LNB did not report a recent tick bite and/or erythema migrans (EM). Patients with facial palsy due to LNB presented more often in July to September (69.2% vs. 21.9%, P < 0.001), and had more often headache (42.3% vs. 15.5%, P < 0.01). To reduce the risk of underdiagnosing LNB in an endemic area, we recommend testing for LNB in patients with facial palsy in summer months especially when presenting with headache, irrespective of a recent tick bite and/or EM.

Introduction: Despite the high risk of cardiovascular disease (CVD) in those with chronic kidney disease (CKD), there are conflicting data as to whether two key kidney measures, estimated glomerular filtration rate (eGFR) and albuminuria, contribute to better CVD prediction, beyond conventional risk factors, warranting a more comprehensive investigation over a broad range of populations. Methods: We studied 127,825 participants without history of CVD from 12 general population, 3 high risk and 1 CKD cohorts with data on eGFR (based on the CKD-EPI creatinine equation) and urinary albumin-creatinine ratio (ACR) and at least 4 years of median follow-up for CVD mortality (4,133 deaths from 15 cohorts), coronary heart disease (CHD) (5,420 events from 9 cohorts), stroke (2,651 events from 9 cohorts), or heart failure (2,507 events from 8 cohorts). To compare eGFR and ACR with conventional predictors independently of the order of modeling, we examined the worsening of 5-year prediction of CVD outcomes by omitting each predictor in turn compared to a full model with all kidney and conventional predictors. Results: C-statistics for full models ranged from 0.759-0.836 in general population and high risk cohorts and 0.712-0.796 in the CKD population (Table). All the conventional and kidney measures contributed to better prediction of CVD outcomes. The contribution of ACR was greater than that of any conventional modifiable risk factors except in predicting CHD in both general/high-risk cohorts and CKD population. Although weaker than ACR, eGFR also contributed significantly to better prediction of CVD mortality (especially in CKD populations) and CHD. Largely similar results were observed for categorical net reclassification index. Conclusion: The two key kidney measures (particularly albuminuria) contribute as much as some or all of the conventional risk factors to CVD prediction, supporting their use for CVD risk classification in certain circumstances.

International audience