A step forward in the diagnosis of urinary tract infections: from machine learning to clinical practice.

Objectives: Urinary tract infections (UTIs) are common infections within the Emergency Department (ED), causing increased laboratory workloads and unnecessary antibiotics prescriptions. The aim of this study was to improve UTI diagnostics in clinical practice by application of machine learning (ML) models for real-time UTI prediction. Methods: In a retrospective study, patient information and outcomes from Emergency Department patients, with positive and negative culture results, were used to design models - 'Random Forest' and 'Neural Network' - for the prediction of UTIs. The performance of these predictive models was validated in a cross-sectional study. In a quasi-experimental study, the impact of UTI risk assessment was investigated by evaluating changes in the behaviour of clinicians, measuring changes in antibiotic prescriptions and urine culture requests. Results: First, we trained and tested two different predictive models with 8692 cases. Second, we investigated the performance of the predictive models in clinical practice with 962 cases (Area under the curve was between 0.81 to 0.88). The best performance was the combination of both models. Finally, the assessment of the risk for UTIs was implemented into clinical practice and allowed for the reduction of unnecessary urine cultures and antibiotic prescriptions for patients with a low risk of UTI, as well as targeted diagnostics and treatment for patients with a high risk of UTI. Conclusion: The combination of modern urinalysis diagnostic technologies with digital health solutions can help to further improve UTI diagnostics with positive impact on laboratory workloads and antimicrobial stewardship.

Managing laboratory test ordering: a challenge in the new laboratory medicine model.

Introduction: The role of Laboratory Medicine in patient care has evolved in the last decades. The same has occurred to the laboratory model, which has evolved from a traditional model where the laboratory is merely involved in clinical decision-making to a leading model where the laboratory is not only involved but also determines decision-making. The advent of new technologies and automation of processes have enabled laboratory professionals to focus on the first and last phase of the analytical process namely, test ordering and decision-making based on laboratory results. These phases are more error-prone than the analytical phase, and where action must be taken to improve the quality of patient care. Content: We share our experience in the design and establishment of laboratory test demand management interventions that facilitated diagnosis of occult disease, improved adherence to clinical guidelines, and optimized patient safety. Summary: A description is provided of key points in the management of laboratory test over/underutilization. Outlook: The objective of this review is to promote the involvement of laboratory professionals in the design and implementation of demand management interventions and in the development of the new Leader Laboratory model.

Heart failure biomarkers and prediction of early left ventricle remodeling after acute coronary syndromes.

INTRODUCTION: Several biomarkers are characteristically elevated in patients with acute heart failure (AHF). Our hypothesis was they could predict early changes in left ventricular (LV) characteristics in acute coronary syndrome (ACS) patients. The objective of this study was two-fold: a) compare circulating concentrations of NT-pro BNP, CA-125, ST2, galectin-3 and pro-adrenomedullin among 4 groups of individuals (healthy controls; patients with ACS without AHF; patients with ACS and AHF and patients admitted for AHF); and b) evaluate whether these biomarkers predict adverse LV remodeling and ejection fraction changes in ACS. METHODS: 6 biomarkers (NT-pro BNP, CA-125, ST2, galectin-3, pro-adrenomedullin and C-reactive) were measured within the first 48 h of admission. Echocardiograms were performed during admission and at 3 months. Variables associated with LV end-diastolic volume (EDV) and ejection fraction (LVEF) change were assessed by multivariate linear regression. RESULTS: We analyzed 51 patients with ACS, 16 with AHF and, 20 healthy controls. NT-pro BNP and ST2 concentrations were elevated at similar values in patients admitted for AHF and ACS complicated with HF but CA-125 concentrations were higher in AHF patients. NT-pro BNP concentrations were positively correlated with CA-125 (rho = 0.58; p < 0.001), ST2 (rho = 0.58; p < 0.001) and galectin-3 (rho = 0.37; p < 0.001) Median change (median days was 83 days after) in EDV and LVEF was 5 %. CA-125 concentrations were positively associated to LV EDV change (ß-coefficient 1.56) and negatively with LVEF trend (ß-coefficient = -0.86). No other biomarker predicted changes in EDV or LVEF. CONCLUSIONS: CA-125 correlates with early LV remodeling and LVEF deterioration in ACS patients.

First time ACS in patients with on-target lipid levels: Inflammation at admission and re-event rate at follow-up.

BACKGROUND: Dyslipidaemia, inflammation and elevated Lp(a) levels are associated with the progression of atherosclerosis. This study investigates whether patients with a first-time presentation of chest pain and on-target LDL-C levels and intermediate FRS/ESC-Score risks, display a high inflammatory burden linked to myocardial injury and whether inflammation at admission affects the re-event rate up to 6 years follow-up. METHODS: Blind assessments of novel inflammatory markers such as Glycoprotein A and B via nuclear magnetic resonance (NMR), cytokines, hsCRP, Neutrophil-to-Lymphocyte ratio (NLR) and Lipoprotein(a) levels were examined. Out of 198 chest pain patients screened, 97 met the inclusion criteria at admission. RESULTS: cTnI(+) patients (>61 ng/L) with elevated Lipoprotein(a), showed significantly increased levels of Glycoprotein A and B, hsCRP, IL-6, a high NLR and a reduced left ventricular ejection fraction (%) compared to cTnI(-) individuals. Those patients, with a higher inflammatory burden at hospital admission (hsCRP, IL-6, Glycoprotein A and B, and Lipoprotein(a)) had a higher re-event rate at follow-up. CONCLUSIONS: Inflammation and Lipoprotein(a) levels were particularly prominent in patients presenting with reduced left ventricular ejection fraction. Notably, Glycoproteins A/B emerge as novel markers of inflammation in these patients. Our study highlights the significantly higher impact of inflammatory burden in patients with chest pain and high level of myocardial damage than in those with lower myocardial affectation, even when they all had lipid levels well controlled. Inflammation at the time of admission influenced the re-event rate over a follow-up period of up to 6 years.

Management of procalcitonin test overuse in an emergency department through a computer algorithm.

OBJECTIVES: To show the procalcitonin (PCT) test demand from an emergency department (ED) over several years, to decrease PCT measurement via a computerized algorithm based on C-reactive protein (CRP) value, and to evaluate the subsequent economic savings. STUDY DESIGN: A cross-sectional study was performed from January 1, 2018, to May 31, 2019, to evaluate an intervention to avoid PCT measurement in the ED of Hospital Universitario San Juan in Alicante in Spain, when CRP values are low. METHODS: A PCT result of at least 1.5 ng/mL was agreed upon with ED providers in our study as the value for clinical decision-making, with values less than 1.5 ng/mL considered negative. We retrospectively reviewed all PCT and CRP values for ED patients and calculated the diagnostic indicators for PCT at 4 different CRP cutoffs using the PCT quantification as the gold standard. From July 1, 2019, to April 30, 2021, the agreed-upon strategy was implemented, and we counted the PCT tests avoided and calculated the savings. RESULTS: PCT was not measured when CRP values were less than the selected CRP cutoff of 0.8 mg/dL, at which false-negative results were 1% and the 99th percentile of PCT was 1.5 ng/mL. In the postintervention period, 1091 PCT values were not measured and $11,553.69 was saved. CONCLUSIONS: An intervention to decrease PCT measurement in the ED designed by the clinical laboratory staff in consensus with requesting clinicians and based on CRP values decreased PCT testing and generated significant economic savings.

Laboratory reflex testing strategy for the early identification of primary care patients with multiple myeloma.

OBJECTIVES: Our objective was to shorten the screen for multiple myeloma (MM), through reflex testing. DESIGN AND METHODS: The clinical laboratory in the public University Hospital of San Juan (Alicante, Spain), serves 234,551 inhabitants. Through an intervention agreed with general practitioners, the Laboratory Information System (LIS) automatically registered serum immunoglobulins (Ig) when serum total proteins (STP) > 80 g/L for the first time in primary care patients. When concomitantly one Ig presented a value above and one below its reference interval, the LIS automatically registered a serum protein electrophoresis (SPEP). When a monoclonal peak in SPEP, immunofixation electrophoresis (IFE) for the typification of monoclonal bands (MB) was performed. If MB were present, a comment in the report explained the intervention. The number of additionally registered Ig, SPEP, IFE, and new diagnosis of MM were counted. The number of days elapsed from the report of elevated STP result to the final MM diagnosis was also counted as median and interquartile range (IQR), and compared to a pre intervention period. RESULTS: 2071 cases of hyperproteinemia were identified, and had 91 a monoclonal peak, confirmed by IFE. In 35 patients it was a new finding, and 9 were diagnosed with MM, 3 Waldestrom macroglobulinemia, 2 lymphoplasmacytic lymphoma and 21 monoclonal gammopathy of undetermined significance. The number of days elapsed from hyperproteinemia to diagnosis was lower in the intervention period (21.5 vs 119.4) (P < 0.01). As our results show, in addition to shortening the time to diagnosis, an increased rate of detection of plasma cell disorders was observed when using our algorithm. CONCLUSIONS: The above laboratory interventions agreed with clinicians, making use of laboratory technology resulted in early identification of MM.

Mutation profile in liquid biopsy tested by next generation sequencing in Mexican patients with non-small cell lung carcinoma and its impact on survival.

Background: Lung cancer represents a significant global health concern, often diagnosed in its advanced stages. The advent of massive DNA sequencing has revolutionized the landscape of cancer treatment by enabling the identification of target mutations and the development of tailored therapeutic approaches. Unfortunately, access to DNA sequencing technology remains limited in many developing countries. In this context, we emphasize the critical importance of integrating this advanced technology into healthcare systems in developing nations to improve treatment outcomes. Methods: We conducted an analysis of electronic clinical records of patients with confirmed advanced non-small cell lung cancer (NSCLC) and a verified negative status for the epidermal growth factor receptor (EGFR) mutation. These patients underwent next-generation sequencing (NGS) for molecular analysis. We performed descriptive statistical analyses for each variable and conducted both univariate and multivariate statistical analyses to assess their impact on progression-free survival (PFS) and overall survival (OS). Additionally, we classified genetic mutations as actionable or non-actionable based on the European Society for Medical Oncology Scale of Clinical Actionability of Molecular Targets (ESCAT) guidelines. Results: Our study included a total of 127 patients, revealing the presence of twenty-one distinct mutations. The most prevalent mutations were EGFR (18.9%) and Kirsten rat sarcoma viral oncogene homolog (KRAS) (15.7%). Notably, anaplastic lymphoma kinase (ALK) [hazard ratio (HR): 0.258, P<0.001], tumor mutation burden (TMB) (HR: 2.073, P=0.042) and brain magnetic resonance imaging (MRI) (HR: 0.470, P=0.032) demonstrated statistical significance in both the univariate and multivariate analyses with respect to PFS. In terms of OS, ALK (HR: 0.285, P<0.001) and EGFR (HR: 0.482, P=0.024) exhibited statistical significance in both analyses. Applying the ESCAT classification system, we identified actionable genomic variations (ESCAT level-1), including EGFR, ALK, breast cancer (BRAF) gene, c-ros oncogene 1 (ROS1), and rearranged during transfection (RET) gene, in 32.3% of the patients. Conclusions: Our findings from massive DNA sequencing underscore that 32.3% of patients who test negative for the EGFR mutation possess other targetable mutations, enabling them to receive personalized, targeted therapies at an earlier stage of their disease. Implementing massive DNA sequencing in developing countries is crucial to enhance survival rates among NSCLC patients and guide more effective treatment strategies.

Double positivity for rheumatoid factor and anti-CCP autoantibodies: improving referral from primary care of patients suspected of having rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic progressive autoimmune inflammatory disease with significant morbidity and mortality. The course of the disease can be modified if diagnosis is early and treatment appropriate. AIM: In this study, we aimed to evaluate a new strategy for early identification of RA patients in primary care settings (the 'diagnostic bottleneck') based on serological biomarkers and to manage inappropriate rheumatoid factor (RF) laboratory test requests. METHOD: A two-arm study was carried out. The first arm corresponded to a retrospective observational descriptive study of patients referred for RF testing from primary care using the current laboratory workflow. The second arm included the following prospective interventions: cancelation of RF requests corresponding to patients with previous negative results for RF over a one-year period; and automatic reflex testing antibodies against cyclic citrullinated proteins (anti-CCP) for patients displaying RF values >30 IU/ml. Outcomes from both arms were then compared. FINDINGS: As double positivity for RF and anti-CCP notably increases the positive likelihood ratio of RA. The intervention enabled a reduction of 2813 tests in 22 months. Moreover, the frequency of unnecessary referrals was reduced from 22% to 8.2%, while that of missed patients decreased slightly (from 21% to 16%), with the number of patients diagnosed per RF request remaining unchanged. In terms of costs, we saved 19.4 RF tests per anti-CCP test added.We developed a simple and cost-effective strategy for reducing the time to diagnosis of RA that can improve patients' quality of life. This approach was supported by primary and specialised care.

Improving diagnosis and treatment of hypomagnesemia.

Magnesium is one of the most abundant cations in the body and acts as a cofactor in more than 600 biochemical reactions. Hypomagnesemia is a highly prevalent condition, especially in subjects with comorbid conditions, but has received less attention than other electrolyte disturbances. This review will discuss magnesium physiology, absorption, storage, distribution across the body, and kidney excretion. After reviewing the regulation of magnesium homeostasis, we will focus on the etiology and clinical presentation of hypomagnesemia. The role of laboratory medicine in hypomagnesemia will be the main purpose of this review, and we will discuss the laboratory tests and different samples and methods for its measurement. Although free magnesium is physiologically active, total serum magnesium is the most commonly used measurement in laboratory medicine and is apt for clinical purposes; however, it is not appropriately used, and many patients with hypomagnesemia remain undiagnosed and not treated. Using information technologies, laboratory medicine can largely improve the diagnosis and treatment of hypomagnesemia through the design and establishment of automatic demand management and result management interventions by acting in the first and last steps of the laboratory cycle, test requests, and actions taken after test results, to unmask patients with hypomagnesemia and improve the number of patients undergoing treatment.

Metformin treatment reduces inflammation, dysmyelination and disease severity in a mouse model of multiple sclerosis, experimental autoimmune encephalomyelitis.

Multiple sclerosis (MS) is an autoimmune disease characterized by inflammation, death or damage of oligodendrocytes, and axonal degeneration. Current MS treatments are non-curative, associated with undesired side-effects, and expensive, highlighting the need for expanded therapeutic options for patients. There is great interest in developing interventions using drugs or therapeutics to reduce symptom onset and protect pre-existing myelin. Metformin is a well-tolerated drug used to treat Type 2 diabetes that has pleiotropic effects in the central nervous system (CNS), including reducing inflammation, enhancing oligodendrogenesis, increasing the survival/proliferation of neural stem cells (NSCs), and increasing myelination. Here, we investigated whether metformin administration could improve functional outcomes, modulate oligodendrocyte precursor cells (OPCs), and reduce inflammation in a well-established mouse model of MS- experimental autoimmune encephalomyelitis (EAE). Male and female mice received metformin treatment at the time of EAE induction ("acute") or upon presentation of disease symptoms ("delayed"). We found that acute metformin treatment improved functional outcomes, concomitant with reduced microglia numbers and decreased dysmyelination. Conversely, delayed metformin treatment did not improve functional outcomes. Our findings reveal that metformin administration can improve EAE outcomes when administered before symptom onset in both sexes.

Clinical Decision Support System in laboratory medicine.

Clinical Decision Support Systems (CDSS) have been implemented in almost all healthcare settings. Laboratory medicine (LM), is one of the most important structured health data stores, but efforts are still needed to clarify the use and scope of these tools, especially in the laboratory setting. The aim is to clarify CDSS concept in LM, in the last decade. There is no consensus on the definition of CDSS in LM. A theoretical definition of CDSS in LM should capture the aim of driving significant improvements in LM mission, prevention, diagnosis, monitoring, and disease treatment. We identified the types, workflow and data sources of CDSS. The main applications of CDSS in LM were diagnostic support and clinical management, patient safety, workflow improvements, and cost containment. Laboratory professionals, with their expertise in quality improvement and quality assurance, have a chance to be leaders in CDSS.

Reporting age-adjusted D-dimer cut-off values reduces radiology overuse in emergency department patients with suspected deep venous thrombosis.

INTRODUCTION: Venous thromboembolism (VTE) is a leading cause of death, associated with substantial morbidity in the absence of treatment. Our aim was, first, to compare the diagnostic performance of D-dimer for the diagnosis of VTE in the emergency department (ED), when reporting conventional cut-off point versus when additionally reporting age-adjusted values. Second, we explored the ordering pattern of Doppler ultrasound (US) and computerized tomographic pulmonary angiogram (CTPA), before and after reporting of the aforementioned age-adjusted cut-off value. MATERIALS AND METHODS: We conducted a cross-sectional study to compare the diagnostic performance of D-dimer as a screening for VTE when reporting the conventional cut-off value versus when additionally including the age-adjusted metrics, and a quasi-experimental study to explore the ordering of Doppler US and CTPA before the age-specific metrics were shared in the report in ED patients between 50 and 100 years-old with D-dimer ordering. RESULTS: The cross-sectional study included 392 patients, 25 with VTE. The specificity using an age-adjusted cut-off value was significantly higher (0.51) compared to a single absolute cut-off (0.42), and the negative likelihood ratio was lower as well (0.08 vs. 0.19), but again not statistically significant. In the quasi-experimental study, there was a decrease in the rate of use of both CTPA and Doppler US (P < 0.05). CONCLUSION: The intervention improved the use of the D-dimer result in the ED and helped improve the request for imaging tests.

Clinical Decision Support systems: A step forward in establishing the clinical laboratory as a decision maker hubA CDS system protocol implementation in the clinical laboratory.

Background: New tools for health information technology have been developed in recent times, such as Clinical Decision Support (CDS) systems, which are any digital solutions designed to help healthcare professionals when making clinical decisions. The study aimed to show how we have adopted a CDS system in the San Juan de Alicante Clinical Laboratory and facilitate the implementation of our protocol in other clinical laboratories. We have user experience and the motivation to improve healthcare tools. The improvement, measurement, and monitoring of interventions and laboratory tests has been our motto for years. Materials and methods: A descriptive research was conducted. All stages in the design of the project are as follows: 1. Set up a multidisciplinary workgroup. 2. Review patients' data. 3. Identify relevant data from main sources. 4. Design the likely outcomes. 5. Define a complete integration scenario. 6. Monitor and track the impact. To set up this protocol, two new software systems were implemented in our laboratory: AlinIQ CDS v8.2 as Rule Engine, and AlinIQ AIP Integrated Platform v1.6 as Business Intelligence (BI) tool. Results: Our protocol shows the workflow and actions that can be done with a CDS system and also how it could be integrated with other monitoring systems, as well as some examples of KPIs and their outcomes. Conclusions: CDS could be a great strategic asset for clinical laboratories to improve the integration of care, optimize the use of laboratory tests, and add more clinical value to physicians in the interpretation of results.

Management of diarrhea induced by EGFR-TKIs in advanced lung adenocarcinoma.

The identification of Epidermal Growth Factor Receptor (EGFR) mutations in lung adenocarcinoma has facilitated the development of personalized medicine based on oncogenic drivers. EGFR-Tyrosine Kinase Inhibitors (TKIs) are part of the targeted therapy; they impede the phosphorylation of the intracellular tyrosine kinase component of EGFR and consequently block signal transduction pathways. These drugs inhibit the proliferation and survival of tumor cells, leading to long-term progression-free survival and overall survival. Diarrhea is one of the most frequent adverse events associated with EGFR-TKIs, affecting at least 18% of patients and reaching up to 95% in some cases. Diarrhea should be managed carefully given its association with important complications, treatment interruptions, and dose reductions. Moreover, nutritional status and quality of life (QoL) can deteriorate due to severe diarrhea. Changes in diet, such as increment of fiber, supplementation with glutamine, and use of probiotics, may contribute to a decrease in the incidence of diarrhea. Improving the control of diarrhea can provide a significant benefit to the QoL of patients.

Effect of receiving a customizable brochure on breast cancer patients' knowledge about their diagnosis and treatment: A randomized clinical trial.

BACKGROUND: Patients' lack of knowledge about their own disease may function as a barrier to shared decision-making and well-being. This study aimed to evaluate the impact of written educational materials on breast cancer patients. METHODS: This multicenter, parallel, unblinded, randomized trial included Latin American women aged ≥18 years with a recent breast cancer diagnosis yet to start systemic therapy. Participants underwent randomization in a 1:1 ratio to receive a customizable or standard educational brochure. The primary objective was accurate identification of molecular subtype. Secondary objectives included identification of clinical stage, treatment options, participation in decision-making, perceived quality of information received, and illness uncertainty. Follow-up occurred at 7-21 and 30-51 days post-randomization. CLINICALTRIALS: gov identifier: NCT05798312. RESULTS: One hundred sixty-five breast cancer patients with a median age of 53 years and 61 days from diagnosis were included (customizable: 82; standard: 83). At first available assessment, 52%, 48%, and 30% identified their molecular subtype, disease stage, and guideline-endorsed systemic treatment strategy, respectively. Accurate molecular subtype and stage identification were similar between groups. Per multivariate analysis, customizable brochure recipients were more likely to identify their guideline-recommended treatment modalities (OR: 4.20,p = 0.001). There were no differences between groups in the perceived quality of information received or illness uncertainty. Customizable brochure recipients reported increased participation in decision-making (p = 0.042). CONCLUSIONS: Over one third of recently diagnosed breast cancer patients are incognizant of their disease characteristics and treatment options. This study demonstrates a need to improve patient education and shows that customizable educational materials increase patients' understanding of recommended systemic therapies according to individual breast cancer characteristics.

Metformin Improves Functional Outcomes, Activates Neural Precursor Cells, and Modulates Microglia in a Sex-Dependent Manner After Spinal Cord Injury.

Spinal cord injury (SCI) results in devastating patient outcomes with few treatment options. A promising approach to improve outcomes following SCI involves the activation of endogenous precursor populations including neural stem and progenitor cells (NSPCs) which are located in the periventricular zone (PVZ), and oligodendrocyte precursor cells (OPCs) found throughout the parenchyma. In the adult spinal cord, resident NSPCs are primarily mitotically quiescent and aneurogenic, while OPCs contribute to ongoing oligodendrogenesis into adulthood. Each of these populations is responsive to SCI, increasing their proliferation and migration to the site of injury; however, their activation is not sufficient to support functional recovery. Previous work has shown that administration of the FDA-approved drug metformin is effective at promoting endogenous brain repair following injury, and this is correlated with enhanced NSPC activation. Here, we ask whether metformin can promote functional recovery and neural repair following SCI in both males and females. Our results reveal that acute, but not delayed metformin administration improves functional outcomes following SCI in both sexes. The functional improvement is concomitant with OPC activation and oligodendrogenesis. Our data also reveal sex-dependent effects of metformin following SCI with increased activation of NSPCs in females and reduced microglia activation in males. Taken together, these findings support metformin as a viable therapeutic strategy following SCI and highlight its pleiotropic effects in the spinal cord.

HDL Function and Size in Patients with On-Target LDL Plasma Levels and a First-Onset ACS.

Patients admitted for acute coronary syndrome (ACS) usually have high cardiovascular risk scores with low levels of high-density lipoprotein cholesterol (HDL-C) and high low-density lipoprotein cholesterol (LDL-C) levels. Here, we investigated the role of lipoprotein functionality as well as particle number and size in patients with a first-onset ACS with on-target LDL-C levels. Ninety-seven patients with chest pain and first-onset ACS with LDL-C levels of 100 ± 4 mg/dL and non-HDL-C levels of 128 ± 4.0 mg/dL were included in the study. Patients were categorized as ACS and non-ACS after all diagnostic tests were performed (electrocardiogram, echocardiogram, troponin levels and angiography) on admission. HDL-C and LDL-C functionality and particle number/size by nuclear magnetic resonance (NMR) were blindly investigated. A group of matched healthy volunteers (n = 31) was included as a reference for these novel laboratory variables. LDL susceptibility to oxidation was higher and HDL-antioxidant capacity lower in the ACS patients than in the non-ACS individuals. ACS patients had lower HDL-C and Apolipoprotein A-I levels than non-ACS patients despite the same prevalence of classical cardiovascular risk factors. Cholesterol efflux potential was impaired only in the ACS patients. ACS-STEMI (Acute Coronary Syndrome-ST-segment-elevation myocardial infarction) patients, had a larger HDL particle diameter than non-ACS individuals (8.4 ± 0.02 vs. 8.3 ± 0.02 and, ANOVA test, p = 0.004). In conclusion, patients admitted for chest pain with a first-onset ACS and on-target lipid levels had impaired lipoprotein functionality and NMR measured larger HDL particles. This study shows the relevance of HDL functionality rather than HDL-C concentration in ACS patients.

Laboratory Strategies to Improve Allergy First-Line Screening in Primary Care.

BACKGROUND: There are nonestablished protocols in use for first-line allergy screening based on IgE testing. These protocols attempt to address an unmet need for sustainability of clinical laboratories, at a time when demand is increasing. OBJECTIVE: To present a novel protocol for first-line allergy screening and to evaluate the implementation benefits for patients, the health care system, and payers. METHODS: We carried out an observational retrospective study analyzing 4359 interventions on primary care testing requests. Interventions included overriding redundant serum IgE (sIgE) testing for allergen mixes, extracts included in mixes, low-prevalence extracts, and milk and egg molecular components without previous positive results when exposed to extracts. We also added prevalent allergen testing. RESULTS: The strategy saved 683 tests from being performed unnecessarily. Test volume decline was primarily driven by the cancelation of 2186 egg and milk components tests; 561 tests were added for mixes, together with 942 allergen extracts tests. DISCUSSION: The results of this study show how the allergy laboratory plays a key role in actively managing demand for sIgE testing, leading to optimized diagnosis.