Combining data from 2 nested case-control studies of overlapping cohorts to improve efficiency

Researchers subject to time and budget constraints may conductsmall nested case–control studies with individually matchedcontrols to help optimize statistical power. In this paper,we show how precision can be improved considerably by combiningdata from a small nested case–control study with datafrom a larger nested case–control study of a differentoutcome in the same or overlapping cohort. Our approach is basedon the inverse probability weighting concept, in which the log-likelihoodcontribution of each individual observation is weighted by theinverse of its probability of inclusion in either study. Weillustrate our approach using simulated data and an applicationwhere we combine data sets from 2 nested case–controlstudies to investigate risk factors for anorexia nervosa ina cohort of young women in Sweden.     

Adjusting for selection bias in retrospective, case-control studies

Retrospective case–control studies are more susceptibleto selection bias than other epidemiologic studies as by designthey require that both cases and controls are representativeof the same population. However, as cases and control recruitmentprocesses are often different, it is not always obvious thatthe necessary exchangeability conditions hold. Selection biastypically arises when the selection criteria are associatedwith the risk factor under investigation. We develop a methodwhich produces bias-adjusted estimates for the odds ratio. Ourmethod hinges on 2 conditions. The first is that a variablethat separates the risk factor from the selection criteria canbe identified. This is termed the "bias breaking" variable.The second condition is that data can be found such that a bias-correctedestimate of the distribution of the bias breaking variable canbe obtained. We show by means of a set of examples that suchbias breaking variables are not uncommon in epidemiologic settings.We demonstrate using simulations that the estimates of the oddsratios produced by our method are consistently closer to thetrue odds ratio than standard odds ratio estimates using logisticregression. Further, by applying it to a case–controlstudy, we show that our method can help to determine whetherselection bias is present and thus confirm the validity of studyconclusions when no evidence of selection bias can be found.     

Fitting a Structured Juvenile–Adult Model for Green Tree Frogs to Population Estimates from Capture–Mark–Recapture Field Data

We derive point and interval estimates for an urban population of green tree frogs (Hyla cinerea) from capture–mark–recapture field data obtained during the years 2006–2009. We present an infinite-dimensional least-squares approach which compares a mathematical population model to the statistical population estimates obtained from the field data. The model is composed of nonlinear first-order hyperbolic equations describing the dynamics of the amphibian population where individuals are divided into juveniles (tadpoles) and adults (frogs). To solve the least-squares problem, an explicit finite difference approximation is developed. Convergence results for the computed parameters are presented. Parameter estimates for the vital rates of juveniles and adults are obtained, and standard deviations for these estimates are computed. Numerical results for the model sensitivity with respect to these parameters are given. Finally, the above-mentioned parameter estimates are used to illustrate the long-time behavior of the population under investigation.     

CTCA for detection of significant coronary artery disease in routine TAVI work-up

Transcatheter aortic valve implantation (TAVI) has evolved to standard treatment of severe aortic stenosis in patients with an intermediate to high surgical risk. Computed tomography coronary angiography (CTCA) could partially replace invasive coronary angiography to diagnose significant coronary artery disease in the work-up for TAVI. A literature search was performed in MEDLINE and EMBASE for papers comparing CTCA and coronary angiography in TAVI candidates. The primary endpoint was the diagnostic accuracy of CTCA, compared to coronary angiography, for detection of significant (>50% diameter stenosis) coronary artery disease, measured as sensitivity, specificity, positive—(PPV) and negative predictive value (NPV). Seven studies were included, with a cumulative sample size of 1,275 patients. The patient-based pooled sensitivity, specificity, PPV and NPV were 95, 65, 71 and 94% respectively. Quality assessment revealed excellent and good quality in terms of applicability and risk of bias respectively, with the main concern being patient selection. In conclusion, on the basis of a significance cut-off value of 50% diameter stenosis, CTCA provides acceptable diagnostic accuracy for the exclusion of coronary artery disease in patients referred for TAVI. Using the routinely performed preoperative computed tomography scans as a gatekeeper for coronary angiography could decrease additional coronary angiographies by 37% in this high-risk and fragile population.     

Ultrasound diagnostic schema for the determination of increased risk for chromosomal fetal aneuploidies in the first half of pregnancy

The aim of the study was to develop an early ultrasound diagnostic schema for the determination of increased risk for fetal chromosomal aneuploidies. The study was conducted on a population of 1318 pregnant women divided into 2 groups: 1255 women with the normal course of pregnancy and 63 women with diagnosed fetal abnormalities. There were 34 cases of chromosomal abnormalities (trisomy 21, 18, 13; triploidy; unbalanced inversion 9; deletion 16) and 29 cases of structural malformations. The estimation of the range of normal values was performed for the nuchal translucency (NT) measurement between 11 and 13 weeks and the nasal bone length (NB) measurement between 12 and 20 week. The results obtained in the collective set of normal pregnancies constituted the basis for the calculation of the range of normal values. The measurements of NB and NT showed a linear value increase with the pregnancy course. The following test characteristics (correlation to CRL) were recorded: NB - sensitivity 60%, specificity 98%, positive predictive value (PPV+) 43%, negative predictive value (NPV-) 98.9%. For the assumption that the test outcome means the presence or absence of the nasal bone in the ultrasound scan the sensitivity was 40%, but specificity 100%; NT - sensitivity 63.6%, specificity 98.2%, PPV+ 38.9%, NPV - 98.2%; NT + NB - presents similar characteristic to the NB or NT alone - sensitivity 55.6%, specificity 98.6%, PPV+ 50%, NPV - 98.9%. The following test characteristics for chromosomal aberration markers (correlation to BPD) were observed: NB - sensitivity 68.4%, specificity 97.4%, PPV+ 56.5%, NPV - 98.4%; NT - sensitivity 73.9%, specificity 97.9%, PPV+ 54.8%, NPV- 99.2%; NT + NB - sensitivity 94.7%, specificity 98.9%, PPV+ 90%, NPV - 99.7%, respectively. The "genetic sonogram" protocol for the structural defect detection was analysed: sensitivity was 80%, specificity 100%, PPV+ 100%, NPV - 99.7%. It is concluded that the new biometric parameter--nasal bone length (NB) and the corrected one--nuchal translucency thickness (NT) are useful markers for fetal abnormalities, especially for chromosomal aberrations. High predictive values of the diagnostic schema for the detection of aneuploidies and structural defects indicate that its application in correlation with the biparietal diameter (BPD) is highly recommended. The proposed schema is an effective algorithm for prenatal diagnostics characterised by high prognostic values. The possible introduction of the schema could result in a decrease of the invasive procedure rates, which could minimise the rate of miscarriages as a complication of amniocenteses.     

国产血清半乳甘露聚糖检测试剂对侵袭性肺曲霉菌病的诊断价值评估

目的：评估国产血清半乳甘露聚糖（Galactomannan,GM）检测试剂对侵袭性肺曲霉菌病的诊断价值。方法根据血液病/恶性肿瘤患者侵袭性真菌病的诊断标准与治疗原则（第四次修订版）[1]收集临床确诊侵袭性肺曲霉菌病（inva-sive pulmonary aspergillosis,IPA）、临床诊断IPA、拟诊IPA、排除IPA四组病例。采用天津贻诺琦公司酶联免疫吸附法（ELISA）试剂检测纳入的86例患者血清标本的GM浓度,分析其敏感性、特异性、阳性预测值（PPV）、阴性预测值（NPV）。结果86例病例中,临床诊断27例、拟诊12例、排除47例。在3种不同的阳性判断标准下,敏感性：9444%、9630%、6296%;特异性：5625%、4576%、6441%;PPV：4474%、4483%、4474%;NPV：9643%、9643%、7917%。统计学分析证实标准1（即血清GM值〉095μg/L为阳性,〈075μg/L为阴性,075~095μg/L为灰区,未将灰区加入计算）在3种判断标准中最优,故选择其为最终判断标准。结论该血清GM检测试剂盒诊断性能较好,可以用于侵袭性肺曲霉菌病的辅助诊断。     

A new diagnostic tool for rapid and accurate detection of Mycobacterium tuberculosis

Mycobacterium tuberculosis, acid fast bacilli from the family of Mycobacteriaceae, is the causative agent of most cases of tuberculosis. Tuberculosis, as a communicable disease, remains a serious public health threat, killing more than one million people globally every year. Primary diagnosis of tuberculosis bacilli (TB) relies mainly on microscopic detection of acid fast bacilli (AFB), but the method suffers from low sensitivity and the results largely depend on the technician’s skill. New diagnostic tools are necessary to be introduced for rapid and accurate detection of the bacilli in sputum samples. We, in collaboration with Anda Biologicals, have developed a new platform, named as “Patho-tb”, for rapid detection of AFB with high sensitivity and with low dependence on human skills. Evaluation of Patho-tb test performance was done in two settings: (1) primary field study conducted using 38 sputa from high TB prevalence area of Iran (Zabol city near to the Afghanistan border), and (2) main study conducted using 476 sputa from Tehran, capital of Iran. Patho-tb was applied for processed sputum samples in parallel with routine diagnostic methods (including AFB microscopy, culture and PCR). All test results were compared to final clinical diagnostic state of an individual and diagnostic sensitivity (DSe), specificity, positive predictive value, negative predictive value and accuracy of each test results were calculated using standard formulations. Analytical sensitivity and specificity of the Patho-tb test were also determined. Calculated values for five above mentioned parameters are as follows: for field study: AFB (DSe: 29.6, DSp: 81.8, PPV: 80, NPV: 23.1, AC: 44.7), Patho-tb (DSe: 63, DSp: 72.7, PPV: 85, NPV: 44.4, AC: 65.8), and for main study: AFB (DSe: 86.1, DSp: 99.4, PPV: 98.5, NPV: 93.9, AC: 95.2), Patho-tb (DSe: 97.4, DSp: 92.9, PPV: 86.5, NPV: 98.7, AC: 94.3). Reproducibility of Patho-tb test results were near to 100% (Cohen’s kappa value between 0.85 and 1). The detection limit of Patho-tb test with 100% positivity rate was 3 × 10³ cells/ml of sputum. In the field study, Patho-tb test was 33.4% more sensitive than AFB microscopy, while the improvement was only 11.3% during the main study. Patho-tb results are easy to interpret and the test can be merged with other screening tests, like AFB. Totally, Patho-tb test alone or in conjunction with AFB microscopy is a useful screening tool for TB detection especially in poor geographical lab conditions.     

The ‘Swallow Tail’ Appearance of the Healthy Nigrosome – A New Accurate Test of Parkinson's Disease: A Case-Control and Retrospective Cross-Sectional MRI Study at 3T

There is no well-established in vivo marker of nigral degeneration in Parkinson''s disease (PD). An ideal imaging marker would directly mirror the loss of substantia nigra dopaminergic neurones, which is most prominent in sub-regions called nigrosomes. High-resolution, iron-sensitive, magnetic resonance imaging (MRI) at 7T allows direct nigrosome-1 visualisation in healthy people but not in PD. Here, we investigated the feasibility of nigrosome-1 detection using 3T - susceptibility-weighted (SWI) MRI and the diagnostic accuracy that can be achieved for diagnosing PD in a clinical population. 114 high-resolution 3T – SWI-scans were reviewed consisting of a prospective case-control study in 19 subjects (10 PD, 9 controls) and a retrospective cross-sectional study in 95 consecutive patients undergoing routine clinical SWI-scans (>50 years, 9 PD, 81 non-PD, 5 non-diagnostic studies excluded). Two raters independently classified subjects into PD and non-PD according to absence or presence of nigrosome-1, followed by consensus reading. Diagnostic accuracy was assessed against clinical diagnosis as gold standard. Absolute inter- and intra-rater agreement was ≥94% (kappa≥0.82, p<0.001). In the prospective study 8/9 control and 8/10 PD; and in the retrospective study 77/81 non-PD and all 9 PD subjects were correctly classified. Diagnostic accuracy of the retrospective cohort was: sensitivity 100%, specificity 95%, NPV 1, PPV 0.69 and accuracy 96% which dropped to 91% when including non-diagnostic scans (‘intent to diagnose’). The healthy nigrosome-1 can be readily depicted on high-resolution 3T - SWI giving rise to a ‘swallow tail’ appearance of the dorsolateral substantia nigra, and this feature is lost in PD. Visual radiological assessment yielded a high diagnostic accuracy for PD vs. an unselected clinical control population. Assessing the substantia nigra on SWI for the typical ‘swallow tail’ appearance has potential to become a new and easy applicable 3T MRI diagnostic tool for nigral degeneration in PD.     

Voluntary control of muscle tension in lengthened and intact limbs in different ranges of force load

Data confirming the hypothesis that there is a range of isometric loads where subjects organize voluntary control of muscle tension with the maximum precision and minimum specific energy expenditure are presented, the energy expenditure being estimated indirectly by the ratio of the area (integral) of the summary electromyogram (EMG) to the force momentum impulse. The asymmetries of the integrated estimates of visuomotor tracking with the use of isometric control organs have been analyzed in 23 patients (6 men and 17 women) aged 15–35 years in different periods, after surgical elimination of the difference between the lengths of their lower extremities. A slightly distinct zone of minimization of the integrated estimates of discrete visuomotor tracking in the range of 25–35% of the maximum force of the muscle group tested (foot dorsal flexors) has been found in healthy subjects (26 healthy men aged 19–39 years) and orthopedic patients (the intact extremity). The zone of optimal loads is more distinct in patents on the side of lengthening; this zone tends to shift towards the region of weaker forces.     

Screening for Depression in Low-Income Elderly Patients at the Primary Care Level: Use of the Patient Health Questionnaire-2

Introduction

Depression is one of the most common mental disorders and a leading cause of disability worldwide. It constitutes a serious public health problem, particularly among elderly individuals. Most depressed elderly patients are treated by primary care (PC) physicians. The “Patient Health Questionnaire” (PHQ-2) is an instrument used for the detection of depression in PC settings.

Objective

Evaluate the performance of the PHQ-2 in a low-income and uneducated elderly PC population.

Methods

A non-probabilistic population sample of 142 individuals was selected from the healthcare unit''s users ≧60 years. Criterion validity was assessed by estimating the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the PHQ-2 in comparison with the structured interview using the DSM-IV. The estimates of sensitivity and specificity were obtained from varying cut-offs of the PHQ-2 score. A Receiver Operator Characteristic (ROC) curve was constructed and the area under the curve (AUC) was calculated.

Results

The group was predominantly female (73.9%), with low education level (mean 3 years of schooling). The mean age was 72.5 years old. The prevalence of depression was 26.1%. The best values of sensitivity (0.74), specificity (0.77), PPV (0.50) e NPV (0.90) were obtained with score equal to 1. The AUC was 0.77, indicating a modest performance of the test accuracy.

Conclusion

The simplicity of the PHQ-2 is an advantage for its use in PC. The high NPV indicated that 90% of those who tested negative would not need additional tests. However, the low PPV indicated that the PHQ-2 is not sufficient to screen for depression. The application of the instrument could be the first step of the screening, that would include a second step to all those with positive tests formerly.     

Fine needle aspiration diagnosis of mycobacterial lymphadenitis. Sensitivity and predictive value in the United States

OBJECTIVE: Fine needle aspiration (FNA) has proven valuable in diagnosing tuberculous lymphadenitis in countries with endemic mycobacterial infection (MI). Its role in developed countries, where sensitivity and positive predictive value are likely to be lower, has not been adequately explored. STUDY DESIGN: This retrospective, five-year study from a public hospital in the United States examined the predictiveness of 238 nodal FNAs in patients with MI; 59% of patients were also HIV+. RESULTS: Diagnostic results (stainable acid-fast bacilli or positive culture) were present in nearly half the aspirates; sensitivity was 46%, specificity 100%, positive predictive value (PPV) 100% and negative predictive value (NPV) 94%. If granulomatous inflammation (GI) was also considered a positive result, sensitivity increased to 53%; false positive cases of GI reduced PPV to 80%, while specificity (98%) and NPV (95%) changed little. Considered alone, GI had the lowest sensitivity (25%) and PPV (65%). CONCLUSION: FNA was useful in this U.S. population with MI, identifying almost half the affected patients. However, nondiagnostic results, such as granulomatous inflammation, should be interpreted with caution.     

Polymerase chain reaction for detection of endocervical Chlamydia trachomatis infection in women attending a gynecology outpatient department in India

OBJECTIVES: To detect Chlamydia trachomatis infection by polymerase chain reaction (PCR) in symptomatic women attending a gynecology clinic in a city hospital and in randomly selected slum dwellers. STUDY DESIGN: Endocervical specimens were collected from 350 women with genitourinary complaints (group I) and 53 slum dwellers (group II). Samples were analyzed by PCR, direct fluorescence assay (DFA) and Giemsa stain cytology for detection of C trachomatis and compared for their sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). RESULTS: The prevalence of endocervical C trachomatis infection was 43.1% and 24.5% in groups I and II, respectively. The sensitivity, specificity, PPV and NPV of PCR were 80.0%, 75.0%, 66.6% and 85.7%, respectively, when DFA was considered true positive. The percent increment in detection of C trachomatis by PCR was 15.3%. CONCLUSION: Giemsa stain cytology has low sensitivity and specificity; hence, it cannot be recommended for use as a diagnostic technique. It appears that PCR can be used routinely in Chlamydia diagnosis and in screening selected populations. The high positivity of C trachomatis infection in urban slum dwellers is cause for concern.     

Screening effects in risk studies of thyroid cancer after the Chernobyl accident

In this article scenarios have been developed, which simulate screening effects in ecological and cohort studies of thyroid cancer incidence among Ukrainians, whose thyroids have been exposed to ¹³¹I in the aftermath of the Chernobyl accident. If possible, the scenarios were based on directly observed data, such as the population size, dose distributions and thyroid cancer cases. Two scenarios were considered where the screening effect on baseline cases is either equal to or larger than that of radiation-related thyroid cancer cases. For ecological studies in settlements with more than ten measurements of the ¹³¹I activity in the human thyroid in May–June 1986, the screening bias appeared small (<19%) for all risk quantities. In the cohort studies, the excess absolute risk per dose was larger by a factor of 4 than in the general population. For an equal screening effect on baseline and radiation-related cancer (Scenario 1) the excess relative risk was about the same as in the general population. However, a differential screening effect (Scenario 2) produced a risk smaller by a factor of 2.5. A comparison with first results of the Ukrainian–US-American cohort study did not give any indication that a differential screening effect has a marked influence on the risk estimates. The differences in the risk estimates from ecological studies and cohort studies were explained by the different screening patterns in the general population and in the much smaller cohort. The present investigations are characterized by dose estimates for many settlements which are very weakly correlated with screening, the confounding variable. The results show that under these conditions ecological studies may provide risk estimates with an acceptable bias.     

Power analysis for case–control association studies of samples with known family histories

Genome-wide case–control studies have been widely used to identify genetic variants that predispose to human diseases. Such studies are powerful in detecting common genetic variants with moderate effects, but quickly lose power as allele frequency and genotype relative risk decrease. Because patients with one or more affected relatives are more likely to inherit disease-predisposing alleles of a genetic disease than patients without family histories of the disease, sampling patients with affected relatives almost always increases the frequency of disease predisposing alleles in cases and improves the power of case–control association studies. This paper evaluates the power of case–control studies that select cases and/or controls according to their family histories of disease. Our results showed that this study design can dramatically increase the power of a case–control association study for a wide range of disease types. Because each additional affected relative of a patient reduces the required sample size roughly by a pair of case and control, inclusion of cases with affected relatives can dramatically decrease the required sample size and thus the cost of such studies.     

A comparison of the predictive accuracy of three screening models for pulmonary arterial hypertension in systemic sclerosis

IntroductionThere is evidence that early screening for pulmonary arterial hypertension (PAH) in systemic sclerosis (SSc) improves outcomes. We compared the predictive accuracy of two recently published screening algorithms (DETECT 2013 and Australian Scleroderma Interest Group (ASIG) 2012) for SSc-associated PAH (SSc-PAH) with the commonly used European Society of Cardiology/European Respiratory Society (ESC/ERS 2009) guidelines.MethodsWe included 73 consecutive SSc patients with suspected PAH undergoing right heart catheterization (RHC). The three screening models were applied to each patient. For each model, contingency table analysis was used to determine sensitivity, specificity, and positive (PPV) and negative (NPV) predictive values for PAH. These properties were also evaluated in an ‘alternate scenario analysis’ in which the prevalence of PAH was set at 10%.ResultsRHC revealed PAH in 27 (36.9%) patients. DETECT and ASIG algorithms performed equally in predicting PAH with sensitivity and NPV of 100%. The ESC/ERS guidelines had sensitivity of 96.3% and NPV of only 91%, missing one case of PAH; these guidelines could not be applied to three patients who had absent tricuspid regurgitant (TR) jet. The ASIG algorithm had the highest specificity (54.5%). With PAH prevalence set at 10%, the NPV of the models was unchanged, but the PPV dropped to less than 20%.ConclusionsIn this cohort, the DETECT and ASIG algorithms out-perform the ESC/ERS guidelines, detecting all patients with PAH. The ESC/ERS guidelines have limitations in the absence of a TR jet. Ultimately, the choice of SSc-PAH screening algorithm will also depend on cost and ease of application.

Electronic supplementary material

The online version of this article (doi:10.1186/s13075-015-0517-5) contains supplementary material, which is available to authorized users.     

Bruikbaarheid en validiteit van de Nederlandse versie van de Montreal Cognitive Assessment (MoCA-D) bij het diagnosticeren van Mild Cognitive Impairment

Objective: The MoCA is a new screening test to detect Mild Cognitive Impairment (MCI). Purpose of this study is validating the Dutch version (MoCA-D). Method: We administered the MoCA-D to healthy control subjects and to elderly with MCI or dementia from a memory disorder outpatient clinic and a geriatric (outpatient) clinic (n=30, 32, 37 respectively, age≥60). Neuropsychological testing was part of the standard procedure for patients to diagnose MCI. Sensitivity, specificity and predictive values (positive: PPV and negative: NPV) of the MoCA-D were assessed. Results: A significant effect of group was found on MoCA-D total score (F(2,95)=67,9; p<0,01). With a cutoff score of d25, sensitivity and specificity to detect MCI in relation to healthy controls were 72% and 73%, respectively. PPV and NPV were 84% and 56%, respectively. With a cut-off score of d20, sensitivity to detect dementia in relation to MCI was 100% for severe dementia and 75% for mild dementia. Specificity for dementia was 81%, PPV 94% and NPV 55%. Conclusion: The MoCA-D distinguishes between healthy elderly, MCI patients and dementia patients. However, in this study, insufficient sensitivity and poor specificity were found. For the present, applying a broader and flexible screening procedure in order to detect MCI seems a more useful method than the interpretation of one test result in particular.     

Diagnostic value of fine needle aspirates processed by ThinPrep® for the assessment of axillary lymph node status in patients with invasive carcinoma of the breast

X. Jing, E. Wey and C. W. Michael Diagnostic value of fine needle aspirates processed by ThinPrep® for the assessment of axillary lymph node status in patients with invasive carcinoma of the breast Objective: To evaluate the utility of ThinPrep® as an optional specimen processing method for the detection of axillary lymph node metastasis of invasive breast carcinoma. Methods: A computer SNOMED search from the file at our institution between January 2003 and August 2011 retrieved a total of 209 fine needle aspiration (FNA) specimens of axillary lymph nodes prepared by ThinPrep and followed by axillary lymph node biopsy and/or dissection. Original cytological diagnoses and corresponding histological diagnoses were documented. Using the histological diagnoses as the gold standard, the diagnostic parameters including sensitivity, specificity, positive (PPV) and negative predictive values (NPV) and diagnostic accuracy were calculated. Both cytology and histology slides from cyto‐histologically discrepant cases were reviewed. Results: Out of a total of 209 specimens, 193 (92%) had adequate diagnostic material while the remaining 16 specimens (8%) were inadequate for cytological assessment. The diagnostic specimens included 168 invasive ductal carcinomas (IDC), 15 invasive lobular carcinomas (ILC) and 10 mixed carcinomas (IDC and ILC). Excluding 19 cases with malignant cells on FNA in which no residual tumour was found in fibrotic lymph nodes after neoadjuvant therapy (cytology and histology confirmed on review) ThinPrep detected nodal metastasis with an overall sensitivity of 77.5%, specificity of 100%, PPV of 100% and NPV of 53.7%. Diagnostic accuracy was 82.2%. There was no difference in Bloom–Richardson grade or the number or size of metastases between tumours with true‐positive and false‐negative cytology. Sampling error was the sole factor contributing to cyto‐histological discrepancy. Conclusions: ThinPrep is a good alternative to the conventional smear for cytological assessment of axillary lymph node status in patients with invasive breast carcinoma, particularly when specimens are collected at remote sites or when cytologists are not available for assistance during FNA.     

Genetic variations in <Emphasis Type="Italic">KIFC1</Emphasis> and the risk of aspirin exacerbated respiratory disease in a Korean population: an association analysis

Modest effects of genes in various pathways are significant in the etiology of complex human diseases, including aspirin exacerbated respiratory disease (AERD). By functioning as a relevant component of respiratory processes, the human kinesin family member C1 (KIFC1) is hypothesized to play a role in AERD pathogenesis. A case–control analysis was carried out by comparing the genotype distribution of six KIFC1 single-nucleotide polymorphisms between 93 AERD cases and 96 aspirin-tolerant asthma controls in a Korean population. After controlling for confounds, logistic and regression models via various modes of genetic inheritance facilitated the association analysis. Initial results revealed significant association at 0.05 level of significance between several KIFC1 variations and AERD (P = 0.01–0.05, OR = 1.81–1.90) as well as fall rate of forced expiratory volume in the 1st second, an important diagnostic marker of airways constriction (P = 0.04–0.05). However, the signals were not deemed significant after multiple testing corrections (P ^corr > 0.05). Although the results do not support a major role of KIFC1 in AERD pathogenesis in a Korean asthma cohort, further replication and validation studies are required to clarify the current findings.     

A machine learning tool for the diagnosis of SARS-CoV-2 infection from hemogram parameters

Monocytes and neutrophils play key roles in the cytokine storm triggered by SARS-CoV-2 infection, which changes their conformation and function. These changes are detectable at the cellular and molecular level and may be different to what is observed in other respiratory infections. Here, we applied machine learning (ML) to develop and validate an algorithm to diagnose COVID-19 using blood parameters. In this retrospective single-center study, 49 hemogram parameters from 12,321 patients with clinical suspicion of COVID-19 and tested by RT-PCR (4239 positive and 8082 negative) were analysed. The dataset was randomly divided into training and validation sets. Blood cell parameters and patient age were used to construct the predictive model with the support vector machine (SVM) tool. The model constructed from the training set (5936 patients) achieved an accuracy for diagnosis of SARS-CoV-2 infection of 0.952 (95% CI: 0.875–0.892). Test sensitivity and specificity was 0.868 and 0.899, respectively, with a positive (PPV) and negative (NPV) predictive value of 0.896 and 0.872, respectively (prevalence 0.50). The validation set model (4964 patients) achieved an accuracy of 0.894 (95% CI: 0.883–0.903). Test sensitivity and specificity was 0.8922 and 0.8951, respectively, with a positive (PPV) and negative (NPV) predictive value of 0.817 and 0.94, respectively (prevalence 0.34). The area under the receiver operating characteristic curve was 0.952 for the algorithm performance. This algorithm may allow to rule out COVID-19 diagnosis with 94% of probability. This represents a great advance for early diagnostic orientation and guiding clinical decisions.