Star Medisch Diagnostisch Centrum

Abstract BackgroundCardiovascular (CV) risk factors are associated with cerebrovascular damage and cognitive decline in late life. However, it is unknown how different ethnic CV risk profiles are related to cerebral haemodynamics in mid-life. We aimed to investigate associations of CV risk factors with cerebral haemodynamics at two timepoints and examine the impact of ethnicity on these measures.MethodsFrom the HELIUS study (53.0 years, 44.8% female), participants of Dutch (n=236), Moroccan (n=122), or South-Asian Surinamese (n=173) descent were included. Cerebral blood flow (CBF) and its spatial coefficient of variation (sCoV, marker of macrovascular efficiency) were obtained in both grey (GM) and white matter (WM). Associations of CV risk factors, WM hyperintensities (WMH), and carotid plaques with cerebral haemodynamics were investigated using linear regressions.ResultsCBF and sCoV differed per ethnicity. Only at the second visit associations were found, without an interaction with ethnicity; history of CV disease with lower GM CBF and higher WM sCoV, higher total cholesterol and lower WMH volume with lower WM CBF, smoking with higher WM sCoV, and higher SBP with lower GM sCoV.ConclusionsThese findings emphasise the need to further explore the longitudinal effects of midlife risk factors and cerebrovascular health, and its interaction with ethnicity.

Antimicrobial sensitivity data are important to guide antimicrobial therapy. In microbiological laboratories, routine sensitivity measurements are typically performed with automated testing systems such as VITEK2 and Phoenix. Using data from the Dutch national surveillance system for antimicrobial resistance over a 6-year period, we found that the measured minimum inhibitory concentrations for aminoglycosides in Enterobacterales and non-fermenters were too high for the Phoenix system. In addition, we observed a yearly increase in resistance for several species measured by Phoenix. These findings might have consequences for clinical treatment of patients with sepsis.

Background Selective serotonin reuptake inhibitors (SSRIs) may increase the risk of major bleeding by decreasing platelet function or decreasing vitamin K antagonist (VKA) metabolism via cytochrome P450 (CYP) inhibition.Aims To determine whether SSRIs are associated with major bleeding during VKA treatment and investigate the possible mechanisms.Methods In this cohort study, information on SSRI use and bleeding complications was obtained from patient records of VKA initiators between 2006 and 2018 from two anticoagulation clinics. Conditional logistic regression and time-dependent Cox regression were used to estimate the effect of SSRIs on a high international normalized ratio (INR ≥ 5) within 2 months after SSRI initiation and on major bleeding during the entire period of SSRI use, respectively. SSRI use was stratified for (non-)CYP2C9 inhibitors.Results A total of 58,918 patients were included, of whom 1,504 were SSRI users. SSRI initiation versus nonuse was associated with a 2.41-fold (95% confidence interval [CI]: 2.01–2.89) increased risk for a high INR, which was 3.14-fold (95% CI: 1.33–7.43) among CYP2C9-inhibiting SSRI users. The adjusted hazard ratio of major bleeding was 1.22 (95% CI: 0.99–1.50) in all SSRI users and 1.31 (95% CI: 0.62–2.72) in CYP2C9-inhibiting SSRI users compared with nonusers.Conclusion SSRI use is associated with an increased risk of high INR and might be associated with major bleeding. The risk of a high INR was slightly more elevated for CYP2C9-inhibiting SSRI users, suggesting there might be a pharmacokinetic interaction (by CYP2C9 inhibition) next to a pharmacodynamic effect of SSRIs on platelet activation.

This study evaluated logistics, process data, and barriers/facilitators for the implementation and use of C-reactive protein point-of-care testing (CRP POCT) for suspected lower respiratory tract infections (LRTIs) in nursing home (NH) residents. This process evaluation was performed alongside a cluster randomized, controlled trial (UPCARE study) to evaluate the effect of CRP POCT on antibiotic prescribing for suspected LRTIs in NH residents. Eleven NHs in the Netherlands. Data sources for process data regarding intervention quality included a questionnaire among NH staff, logs, reports, and CRP POCT-analyzer records. Barriers and facilitators for implementation were assessed in focus group interviews with physicians and nurses from 3 NHs. Correct patient selection for CRP POCT and generally continued CRP POCT use indicated good fidelity. The initial training and training of new employees seemed to fit the need, but some POCT-user group sizes had increased over time, which could have impeded frequent use. Users were generally satisfied with CRP POCT and perceived its use feasible and relevant. Facilitators for implementation were initial commitment and active initiation, followed by continued attention and enthusiasm for building routine practice and trust. Short lines of communication between staff, short distance to the POCT-analyzer, 24/7 coverage of staff, and a clear task division facilitated continued attention and routine practice. This process evaluation showed sufficient quality of providing CRP POCT in Dutch NHs. We processed findings of intervention quality and implementation knowledge into key recommendations for CRP POCT implementation in this setting. Future research could focus on CRP POCT use in countries with different organization of care in NHs.

Antimicrobial resistance (AMR) continues to be a global problem and continues to be addressed through national strategies to improve diagnostics, develop new antimicrobials and promote antimicrobial stewardship. Patients who attend general (ambulatory) practice with symptoms of respiratory tract infections (RTIs) are invariably assessed by some sort of clinical decision rule (CDR). However, CDRs rely on a cluster of non-specific clinical observations. A narrative review of the literature was undertaken to ascertain the value of C reactive protein (CRP) point-of-care testing (POCT) to guide antibacterial prescribing in adult patients presenting to general practitioner (GP) practices with symptoms of RTI. Studies that were included were Cochrane reviews, systematic reviews, randomised controlled trials, cluster randomised trials, controlled before and after studies, cohort studies and economic evaluations. An overwhelming number of studies demonstrated that the use of CRP tests in patients presenting with RTI symptoms reduces index antibacterial prescribing. GPs and patients report a good acceptability for a CRP POCT and economic evaluations show cost-effectiveness of CRP POCT over existing RTI management in primary care. POCTs increase diagnostic precision for GPs in the better management of patients with RTI. With the rapid development of artificial intelligence, patients will expect greater precision in diagnosing and managing their illnesses. Adopting systems that markedly reduce antibiotic consumption is a no-brainer for governments that are struggling to address the rise in AMR.

To determine the diagnostic accuracy in a real-world primary care setting of a deep learning-enhanced device for automated detection of diabetic retinopathy (DR). Retinal images of people with type 2 diabetes visiting a primary care screening program were graded by a hybrid deep learning-enhanced device (IDx-DR-EU-2.1; IDx, Amsterdam, the Netherlands), and its classification of retinopathy (vision-threatening [vt]DR, more than mild [mtm]DR, and mild or more [mom]DR) was compared with a reference standard. This reference standard consisted of grading according to the International Clinical Classification of DR by the Rotterdam Study reading center. We determined the diagnostic accuracy of the hybrid deep learning-enhanced device (IDx-DR-EU-2.1) against the reference standard. A total of 1,616 people with type 2 diabetes were imaged. The hybrid deep learning-enhanced device's sensitivity/specificity against the reference standard was, respectively, for vtDR 100% (95% CI 77.1-100)/97.8% (95% CI 96.8-98.5) and for mtmDR 79.4% (95% CI 66.5-87.9)/93.8% (95% CI 92.1-94.9). The hybrid deep learning-enhanced device had high diagnostic accuracy for the detection of both vtDR (although the number of vtDR cases was low) and mtmDR in a primary care setting against an independent reading center. This allows its' safe use in a primary care setting.