Moderate Negative Predictive Value Research Articles

Utility of scores to predict alcohol use after liver transplant (lt): take them with a grain of salt.

The Sustained Alcohol use post-Liver Transplant (SALT) and the High-Risk Alcohol Relapse (HRAR) scores were developed to predict return to alcohol use after liver transplant (LT) for alcohol associated liver disease (ALD). A retrospective analysis of deceased donor LT 10/2018 to 4/2022 was performed. All patients (pts) underwent careful pre-LT psychosocial evaluation. Data on alcohol use, substance abuse, prior rehabilitation, and legal issues were collected. Post-LT, all were encouraged to participate in rehabilitation programs and underwent interval phosphatidylethanol (PeTH) testing. Pts with ALD were stratified by < or > 6 month sobriety prior to listing. Those with <6 month were further stratified as acute alcoholic hepatitis (AH) by NIAAA criteria and non-AH. The primary outcome was utility of the SALT (<5 vs. ≥5) and HRAR (<3 vs. ≥3) scores to predict return to alcohol use (+PeTH) within 1 year after LT. Of the 365 LT, 86 had > 6 month sobriety and 85 had <6 month sobriety; 41 with AH and 44 non-AH. In those with AH, the mean time of abstinence to LT was 58 days, and 71% failed prior rehabilitation. Following LT, return to drinking was similar in the AH (24%) compared to <6M non-AH (15%) and >6M ALD (22%). Only 4% had returned to heavy drinking. The accuracy of both the SALT and HRAR scores to predict return to alcohol was low (accuracy 61-63%) with poor sensitivity (46% and 37%), specificity (67-68%), positive predictive value (22-26%) with moderate negative predictive value (NPV) (81-83%), respectively with higher NPVs (95%) in predicting return to heavy drinking. Both SALT and HRAR scores had good NPV in identifying patients at low risk for recidivism.

Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning.

Weaning patients from mechanical ventilation (MV) is a critical and resource intensive process in the Intensive Care Unit (ICU) that impacts patient outcomes and healthcare expenses. Weaning methods vary widely among providers. Prolonged MV is associated with adverse events and higher healthcare expenses. Predicting weaning readiness is a non-trivial process in which the positive end-expiratory pressure (PEEP), a crucial component of MV, has potential to be indicative but has not yet been used as the target. We aimed to predict successful weaning from mechanical ventilation by targeting changes in the PEEP-level using a supervised machine learning model. This retrospective study included 12,153 mechanically ventilated patients from Medical Information Mart for Intensive Care (MIMIC-IV) and eICU collaborative research database (eICU-CRD). Two machine learning models (Extreme Gradient Boosting and Logistic Regression) were developed using a continuous PEEP reduction as target. The data is splitted into 80% as training set and 20% as test set. The model's predictive performance was reported using 95% confidence interval (CI), based on evaluation metrics such as area under the receiver operating characteristic (AUROC), area under the precision-recall curve (AUPRC), F1-Score, Recall, positive predictive value (PPV), and negative predictive value (NPV). The model's descriptive performance was reported as the variable ranking using SHAP (SHapley Additive exPlanations) algorithm. The best model achieved an AUROC of 0.84 (95% CI 0.83-0.85) and an AUPRC of 0.69 (95% CI 0.67-0.70) in predicting successful weaning based on the PEEP reduction. The model demonstrated a Recall of 0.85 (95% CI 0.84-0.86), F1-score of 0.86 (95% CI 0.85-0.87), PPV of 0.87 (95% CI 0.86-0.88), and NPV of 0.64 (95% CI 0.63-0.66). Most of the variables that SHAP algorithm ranked to be important correspond with clinical intuition, such as duration of MV, oxygen saturation (SaO2), PEEP, and Glasgow Coma Score (GCS) components. This study demonstrates the potential application of machine learning in predicting successful weaning from MV based on continuous PEEP reduction. The model's high PPV and moderate NPV suggest that it could be a useful tool to assist clinicians in making decisions regarding ventilator management.

Validation of the Diagnostic Interview Schedule for Children (DISC-5) Tic Disorder and Attention-Deficit/Hyperactivity Disorder Modules

ABSTRACT Effective methods to assess mental disorders in children are necessary for accurate prevalence estimates and to monitor prevalence over time. This study assessed updates of the tic disorder and attention-deficit/hyperactivity disorder (ADHD) modules of the Diagnostic Interview Schedule for Children, Version 5 (DISC-5) that reflect changes in diagnostic criteria in the Diagnostic and Statistical Manual of Mental Disorders (Fifth edition, DSM-5). The DISC-5 tic disorder and ADHD parent- and child-report modules were compared to expert clinical assessment for 100 children aged 6–17 years (40 with tic disorder alone, 17 with tic disorder and ADHD, 9 with ADHD alone, and 34 with neither) for validation. For the tic disorder module, parent-report had high (>90%) sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy, while the youth-report had high specificity and PPV, moderate accuracy (81.4%), and lower sensitivity (69.8%) and NPV (67.3%). The ADHD module performed less well: parent-report had high NPV (91.4%), moderate sensitivity (80.8%), and lower specificity (71.6%), PPV (50.0%), and accuracy (74.0%); youth-report had moderate specificity (82.8%) and NPV (88.3%), and lower sensitivity (65.0%), PPV (54.2%), and accuracy (78.6%). Adding teacher-report of ADHD symptoms to DISC-5 parent-report of ADHD increased sensitivity (94.7%) and NPV (97.1%), but decreased specificity (64.2%), PPV (48.7%), and accuracy (72.2%). These findings support the use of the parent-report tic disorder module alone or in combination with the child report module in future research and epidemiologic studies; additional validation studies are warranted for the ADHD module.

Diagnostic performance of the “drooping” sign in CT diagnosis of exophytic renal angiomyolipoma

To evaluate the prevalence of angular interface and the "drooping" sign in exophytic renal angiomyolipomas (AMLs) and the diagnostic performance in differentiating exophytic lipid-poor AMLs from other solid renal masses. This IRB-approved, two-center study included 185 patients with 188 exophytic solid renal masses < 4cm with histopathology and pre-operative CT within 30days of surgical resection or biopsy. Images were reviewed for the presence of angular interface and the "drooping" sign qualitatively by three readers blinded to the final diagnosis, with majority rules applied. Both features were assessed quantitatively by cohort creators (who are not readers) independently. Free-marginal kappa was used to assess inter-reader agreement and agreement between two methods assessing each feature. Fisher's exact test, Mann-Whitney test, and multivariable logistic regression with two-tailed p < 0.05 were used to determine statistical significance. Diagnostic performance was assessed. Ninety-four patients had 96 AMLs, and 91 patients had 92 non-AMLs. Seventy-four (77%) of AMLs were lipid-poor based on quantitative assessment on CT. The presence of angular interface and the "drooping" sign by both qualitative and quantitative assessment were statistically significantly associated with AMLs (39% (qualitative) and 45% (quantitative) vs 15% (qualitative) and 13% (quantitative), and 48% (qualitative) and 43% (quantitative) vs 4% (qualitative) and 1% (quantitative), respectively, all p < 0.001) in univariable analysis. In multivariable analysis, only the "drooping" sign in either qualitative or quantitative assessment was a statistically significant predictor of AMLs (both p < 0.001). Inter-reader agreement for the "drooping" sign was moderate (k = 0.55) and for angular interface was fair (k = 0.33). Agreement between the two methods of assessing the "drooping" sign was substantial (k = 0.84) and of assessing the angular interface was moderate (k = 0.59). The "drooping" sign both qualitatively and quantitatively, alone or in combination of angular interface, had very high specificity (96-100%) and positive predictive value (PPV) (89-100%), moderate negative predictive value (62-68%), but limited sensitivity (23-49%) for lipid-poor AMLs. The "drooping" sign by both qualitative and quantitative assessment is highly specific for lipid-rich and lipid-poor AMLs. This feature alone or in combination with angular interface can aid in CT diagnosis of lipid-poor AMLs with very high specificity and PPV.

Comparison of a viscoelastic point-of-care coagulation monitor with thromboelastography in sick dogs with hemostatic abnormalities.

Viscoelastic coagulation monitor (VCM-Vet) is a point-of-care device that has been used to characterize hemostatic abnormalities in sick pets but has not been validated in veterinary patients. We aimed to compare VCM-Vet and thromboelastography (TEG) in sick dogs with suspected disorders of hemostasis. Duplicate VCM-Vet tests using untreated native blood performed concurrently on two VCM-Vet machines, and simultaneous TEG tests were performed (one citrated native (CN), and one activated with tissue factor (TF) at a 1:3600 dilution). Each VCM-Vet result was compared with both TF-activated and CN TEG. Fifty-three dogs were enrolled. Eleven cases displayed apparent hyperfibrinolysis. Spearman correlation coefficients for individual VCM-Vet devices and CN and TF TEG were obtained between R and CT values and ranged from 0.21 to 0.27, CFT and K (r= 0.60-0.67), angles (r= 0.51-0.62), and MCF and MA (r= 0.85-0.87). Comparison of the two VCM-Vet devices displayed positive correlations for all clot formation parameters with Lin's concordance correlation coefficients of 0.75-0.95. Variable lysis parameter agreement existed between the VCM-Vet devices and VCM-Vet and TEG. When samples were classified as hypercoagulable or coagulopathic, VCM-Vet had a low positive predictive value (17-33%) for the detection of hypercoagulable states and a moderate negative predictive value (64-74%) for the detection of coagulopathy as defined by TEG. VCM-Vet and TEG had variable correlations in clot formation values and a strong correlation for final clot strength. More information is needed to make conclusions about the lysis parameters. Artifact in the fibrinolysis portion of the test can confound the interpretation of VCM-Vet results.

Venous Thromboembolism Risk Assessment in Hospitalized Cancer Patients: A Single Center Study.

This study aimed to identify predictors of venous thromboembolism (VTE) in hospitalized cancer patients and develop a predictive model using demographic, clinical, and laboratory data. Our analysis showed that patient groups categorized under a very high risk, and high risk, patients with low hemoglobin levels and renal disease were at a significantly increased risk of developing VTE. We developed a VTE risk-assessment model (RAM) with moderate discriminatory performance, high specificity, and negative predictive value, indicating its potential utility in identifying patients without VTE risk. However, the model's positive predictive value and sensitivity were low due to the low prevalence of VTE within the analyzed population. Future studies are needed to analyze additional predictive factors, and to validate the effectiveness of our VTE RAM to safely rule out VTE, compare it with other VTE RAMs in hospitalized cancer patients, and address any limitations of our study.

Consistency Between State's Cancer Registry and All-Payer Claims Database in Documented Radiation Therapy Among Patients Who Received Breast Conservative Surgery.

Arkansas is one of only four known states that have linked All-Payer Claims Database (APCD) to state's cancer registry (Arkansas Cancer Registry [ACR]). We evaluated the reporting consistency of radiation therapy (RT) between the two sources. Women age ≥ 18 years diagnosed in 2013-2017 with early-stage hormone receptor-positive breast cancer who received breast-conserving surgery were identified. Patients must have continuous insurance coverage (any private plans, Medicaid, and Medicare) in the 13 months (month of diagnosis and 12 months after). Receipt of RT was identified independently from ACR and APCD. We calculated sensitivity, specificity, positive predictive value, and negative predictive value for receipt of RT coded by the registry compared with APCD billing claims as the gold standard. We assessed the degree of concordance between the data sources by Cohen's kappa statistics. The final sample included 2,695 patients who were in both databases and satisfied our inclusion/exclusion criteria. Using APCD as the gold standard, there were high sensitivity (88.1%) and positive predictive value (87.7%) and moderate specificity (71.1%) and negative predictive value (71.8%). The overall agreement between the two sources was 83.0%, with a kappa statistic of 0.59 (95% CI, 0.56 to 0.63). Consistency measures varied by age, stage, and insurance type with Medicare fee-for-service coverage only having the best and private insurance only the worse consistency. In patients with early-stage hormone receptor-positive breast cancer who received breast-conserving surgery, recording of RT receipt was moderately consistent between Arkansas APCD and ACR. Future studies are needed to identify factors affecting reporting consistency to better use this unique resource in addressing population health problems.

Assessment of the Validity of Administrative Data for Gestational Diabetes Ascertainment

Administrative data, including International Classification of Diseases codes and birth certificate records, are often used for retrospective gestational diabetes research investigations to describe associations of gestational diabetes with perinatal complications and long-term outcomes, and to determine gestational diabetes prevalence. Research investigating the validity of using International Classification of Diseases codes and birth certificates for gestational diabetes ascertainment shows varying degrees of reliability. This study aimed to evaluate the accuracy of both International Classification of Diseases codes and birth certificate diagnosis for gestational diabetes ascertainment in a large hospital-based cohort of pregnant individuals, using laboratory criteria for gestational diabetes mellitus as the reference. We studied individuals who received prenatal care at an academic hospital and affiliated community health centers between 1998 and 2016. In the setting of universal 2-step screening for gestational diabetes, pregnant individuals were classified as having gestational diabetes if ≥2 oral glucose tolerance test values met or exceeded National Diabetes Data Group thresholds. We calculated the sensitivity, specificity, positive predictive value, and negative predictive value for International Classification of Diseases code and birth certificate ascertainment of gestational diabetes, and their exact binomial 95% confidence intervals. In a cohort of 51,059 pregnancies with complete glucose screening, 1303 (2.6%) met National Diabetes Data Group laboratory criteria for gestational diabetes. Gestational diabetes International Classification of Diseases codes had moderate sensitivity of 70.5% (95% confidence interval, 67.9-72.9), high specificity of 99.3% (95% confidence interval, 99.3-99.4), a positive predictive value of 73.3% (95% confidence interval, 70.8-75.8), and a negative predictive value of 99.2% (95% confidence interval, 99.1-99.3). In the 46,512 pregnancies linked to birth certificate data, birth certificate diagnosis had moderate sensitivity (66.3% [95% confidence interval, 63.6-69.0]), high specificity (98.9% [95% confidence interval, 98.8-99.0]), moderate positive predictive value (62.1% [95% confidence interval, 59.8-64.4]), and high negative predictive value (99.1% [95% confidence interval, 99.0-99.2]). Ascertainment of gestational diabetes using administrative data, including International Classification of Diseases codes or birth certificates, has moderate sensitivity, moderate positive predictive value, high specificity, and high negative predictive value. Our findings provide context for interpreting the validity of studies that depend on administrative data for ascertainment of gestational diabetes and comparing them with prospective studies that use laboratory-based gestational diabetes criteria.

Noninvasive follow-up strategy after pulmonary endarterectomy for chronic thromboembolic pulmonary hypertension.

BackgroundThe success of pulmonary endarterectomy (PEA) for chronic thromboembolic pulmonary hypertension (CTEPH) is usually evaluated by performing a right heart catheterisation (RHC). Here, we investigate whether residual pulmonary hypertension (PH) can be sufficiently excluded without the need for a RHC, by making use of early post-operative haemodynamics, or N-terminal pro-brain natriuretic peptide (NT-proBNP), cardiopulmonary exercise testing (CPET) and transthoracic echocardiography (TTE) 6 months after PEA.MethodsIn an observational analysis, residual PH after PEA measured by RHC was related to haemodynamic data from the post-operative intensive care unit time and data from a 6-month follow-up assessment including NT-proBNP, TTE and CPET. After dichotomisation and univariate analysis, sensitivity, specificity, positive predictive value, negative predictive value (NPV) and likelihood ratios were calculated.ResultsThirty-six out of 92 included patients had residual PH 6 months after PEA (39%). Correlation between early post-operative and 6-month follow-up mean pulmonary artery pressure was moderate (Spearman rho 0.465, p<0.001). Early haemodynamics did not predict late success. NT-proBNP >300 ng·L−1 had insufficient NPV (0.71) to exclude residual PH. Probability for PH on TTE had a moderate NPV (0.74) for residual PH. Peak oxygen consumption (V′O2) <80% predicted had the highest sensitivity (0.85) and NPV (0.84) for residual PH.ConclusionsCPET 6 months after PEA, and to a lesser extent TTE, can be used to exclude residual CTEPH, thereby safely reducing the number of patients needing to undergo re-RHC after PEA.

Substantial interreader agreement for biopsy with reduction in biopsy rate: A multireader diagnostic performance study of ACR TI-RADS

PurposeTo assess diagnostic performance of ACR TI-RADS in thyroid cancer detection and evaluate interobserver agreement among radiologists with lower interpreting experience. MethodsFour radiologists retrospectively assessed 295 biopsied thyroid nodules from ultrasound studies performed between 2009 and 2019, blinded to histopathology. Diagnostic performance for cancer detection was determined individually, and interobserver agreement among four readers was evaluated with Fleiss kappa coefficient (ⱪ). Results245 (83.1%) benign and 50 (16.9%) malignant nodules were evaluated. Diagnostic performance based on final TR level was consistent and without significant difference among four readers, with excellent sensitivity (≥98.0%) and negative predictive value (NPV) [≥94.4%] for TR levels 3 to 5. Diagnostic performance based on recommendation to biopsy has moderate sensitivity (≥62%) and high NPV (≥84.7%). Retrospective scoring with established ACR TI-RADS criteria would have substantially reduced the number of biopsies performed, with 63.2% of malignancy not biopsied meeting criteria for sonographic surveillance. Interobserver agreement on TI-RADS scoring for final TR level was fair (ⱪ = 0.39, 95% CI 0.32, 0.47), with substantial agreement for recommendation to biopsy (ⱪ = 0.64, 95% CI 0.58, 0.70). ConclusionsSubstantial reduction in biopsy rate (up to 48%) would have been achieved using the ACR TI-RADS criteria, with 63% of malignancy not biopsied meeting criteria for sonographic surveillance. Interobserver agreement was fair for TI-RADS level scoring and substantial for recommendation to biopsy.

Complete response after neoadjuvant therapy: how certain is radiology?

The concept of total neoadjuvant therapy (TNT) means a paradigm shift in the treatment of patients with rectal cancer. In cases in which the TNT induced a complete clinical response (cCR), an organ preserving watch and wait therapy concept can now be provided more often; however, this increases the demand for imaging for the determination of cCR and in the subsequent follow-up. In this article, the performance of radiology in these scenarios will be evaluated and discussed. Magnetic resonance imaging (MRI) is the current standard for local assessment of the rectum with a high sensitivity for diagnosis and staging of rectal cancer, residual tumor and tumor recurrence. However, the certain exclusion of residual malignant tissue is still difficult, in particular the differentiation of residual scar tissue from vital residual tumor is only possible with low specificity and a moderate negative predictive value (NPV). The currently discussed criteria for the assessment of imaging have not yet been validated in large cohorts and are frequently subjective. An improvement of the diagnostic accuracy for identification of cCR in patients after TNT and for monitoring patients in watch and wait treatment concepts can certainly be achieved by the integration of MRI, endoscopy and endosonography as well as clinical parameters. This should enable for identification of patients with an incomplete response or local recurrence, in time for extended treatment to be initiated without relevant impact on the patient outcome.

Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning.

In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accurate prognostic predictor for critical decision-making involving patients with severe trauma. We aimed to develope a machine learning-based early prognostic model based on admission features and initial ED management.We only recruited patients with severe trauma (defined as an injury severity score >15) as the study cohort and excluded children (defined as patients <16 years old) from a 4-years database (Chi-Mei Medical Center, from January 2015, to December 2018) recording the clinical features of all admitted trauma patients. We considered only patient features that could be determined within the first 2 hours after arrival to the ED. These variables included Glasgow Coma Scale (GCS) score; heart rate; respiratory rate; mean arterial pressure (MAP); prehospital cardiac arrest; abbreviated injury scales (AIS) of head and neck, thorax, and abdomen; and ED interventions (tracheal intubation/tracheostomy, blood product transfusion, thoracostomy, and cardiopulmonary resuscitation). The endpoint for prognostic analyses was mortality within 7 days of admission.We divided the study cohort into the early death group (149 patients who died within 7 days of admission) and non-early death group (2083 patients who survived at >7 days of admission). The extreme Gradient Boosting (XGBoost) machine learning model provided mortality prediction with higher accuracy (94.0%), higher sensitivity (98.0%), moderate specificity (54.8%), higher positive predict value (PPV) (95.4%), and moderate negative predictive value (NPV) (74.2%).We developed a machine learning-based prognostic model that showed high accuracy, high sensitivity, and high PPV for predicting the mortality of patients with severe trauma.

Diagnostic accuracy of the syndromic management of four STIs among individuals seeking treatment at a health centre in Nairobi, Kenya: a cross-sectional study.

Introductionthe syndromic approach to the management of sexually transmitted diseases (STIs) is recommended in areas without adequate laboratory support. We assessed the diagnostic accuracy of this approach in diagnosing Neisseria gonorrhoeae (NG), Chlamydia trachomatis (CT), Trichomonas vaginalis (TV) and Mycoplasma genitalium (MG) among 18 to 49 year-old individuals seeking treatment for STIs in a health centre in Nairobi, Kenya.Methodsparticipants were recruited between April and June 2019. After providing written informed consent, an interviewer-administered questionnaire was completed. Endocervical swabs from women and urethral swabs from men were collected for STI testing using polymerase chain reaction (PCR). Diagnostic accuracy of reported symptoms was calculated using PCR as the gold standard.Resultsa total of 297 individuals (148 men and 149 women) were recruited. Majority of the participants had at least one reported symptom (130/148; 87.8% men and 145/148; 97.3% women). The most commonly diagnosed STI was NG (85/297; 28.6% 95%CI 23.5%-34.1%). Vaginal discharge syndrome had moderate (44.4%) to high (92.9%) sensitivity, low specificity, low positive predictive value (PPV) (2.4 % to 31.5%) and high negative predictive value (NPV) (68.2% to 95.2%). The lower abdominal pain syndrome had moderate to high sensitivity (40% to 71.4%), low specificity (30.9% to 35.6%), low PPV (9.9% to 15.8%) and high NPV (79.2% to 93.8%). The urethral discharge syndrome had high sensitivity (71.4% to 84.8%); moderate specificity (37.6% to 51.7%); low to moderate PPV (5.4% to 53.8%) and high NPV (83.6% to 96.4%). The kappa scores for the three syndromes were generally poor.Conclusionthese findings support the need for the review of the syndromic management of STIs.

Use of a hospital administrative database to identify and characterize community-acquired, hospital-acquired and drug-induced acute kidney injury.

Acute kidney injury (AKI) has serious short- and long-term consequences. The objective of the present study of a cohort of hospitalized patients with AKI was to (i) evaluate the proportion of patients with hospital-acquired (HA) AKI and community-acquired (CA) AKI, the characteristics of these patients and the AKIs, and the short-term outcomes, and (ii) determine the performance of several ICD-10 codes for identifying AKI (both CA and HA) and drug-induced AKI. A cohort of hospitalized patients with AKI was constituted by screening hospital's electronic medical records (EMRs) for cases of AKI. We distinguished between and compared CA-AKI and HA-AKI and evaluated the proportion of AKIs that were drug-induced. The EMR data were merged with hospital billing codes (according to the International Classification of Diseases, 10th Edition (ICD-10)) for each hospital stay. The ability of ICD-10 codes to identify AKIs (depending on the type of injury) was determined by calculating the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Lastly, we sought to validate specific ICD-10 codes for drug-induced AKI. Of the 2473 patients included, 1557 experienced an AKI (HA-AKI: 59.3%; CA-AKI: 40.7%). Patients with CA-AKI had a better short-term outcome and a lower death rate (7.6%, vs. 20% for HA-AKI). One AKI in three was drug-induced. The combination of AKI codes had a very high specificity (94.8%), a high PPV (94.9%), a moderate NPV (56.7%) and moderate sensitivity (57.4%). The sensitivity was higher for CA-AKI (72.2%, vs. 47.2% for HA-AKI), for more severe AKI (82.8% for grade 3 AKI vs. 43.7% for grade 1 AKI), and for patients with CKD. Use of a specific ICD-10 code for drug-induced AKI (N14x) alone gave a very low sensitivity (1.8%), whereas combining codes for adverse drug reactions with AKI-specific codes increased the sensitivity. Our results show that the combination of an EMR-based analysis with ICD-10-based hospital billing codes gives a comprehensive "real-life" picture of AKI in hospital settings. We expect that this approach will enable researchers to study AKI in more depth.

Diagnostic accuracy of Kleihauer-Betke (Kb) testing to predict fetal outcomes associated with fetomaternal hemorrhage: a retrospective cohort study.

To evaluate the diagnostic and screening utility of Kleihauer-Betke (KB) testing as a triage tool in predicting adverse fetal outcomes associated with fetomaternal hemorrhage (FMH). Single center retrospective cohort study evaluated a primary composite outcome of fetal complications associated with FMH between KB-negative and KB-positive test groups. Screening tests for sensitivity, specificity, positive predictive value and negative predictive value were determined. 641 women (97%) had KB-negative and 22 (3%) had KB-positive tests. The primary composite outcome between KB-negative and KB-positive pregnancies was similar (30% vs. 36%, p = 0.54). Screening exhibited high specificity (97%), however,test sensitivity was poor (4%) with only moderate positive and negative predictive values (36.4 and 69.7%). Fetal outcomes associated with FMH were not significantly different between KB-positive and KB-negative test cohorts; KB testing offers no diagnostic precision in the emergency triage evaluation of women with suspected FMH.

Anosmia as a Screening Tool for COVID-19 Infection: A Prospective Cohort Study

Objectives: Several studies promoted anosmia as a possible isolated symptom for coronavirus disease 2019 (COVID-19). No studies used feasible methods of smell testing that the public would use to address the accuracy of these claims. Methods: This is a single-center study conducted between April 2020 and June 2020. The sense of smell was tested in vitally stable suspected COVID-19 patients with no/mild upper respiratory tract infection symptoms prior to nasopharyngeal swabbing for reverse-transcriptase polymerase chain reaction. Patients were instructed to close their eyes. Each nostril was tested separately while the other was blocked with the patient’s index finger. Patients inhaled from 2 concealed vials (coffee and strawberry essence) consecutively, kept within 30 cm of the nostril for 60 s. Patients who could not identify both odors with both nostrils were recorded as “anosmia.” Results: Out of 346 eligible subjects, 43 had anosmia of which 26 (60%) tested COVID-19 positive. χ² test showed a p value <0.001. The test showed a sensitivity of 30% (95% confidence interval [CI] 21%, 41%) and specificity 94% (95% CI 90%, 96%). Logistic regression revealed an odds ratio of 5.9 (95% CI 3.0, 12) p value <0.001. Conclusion: Given the low sensitivity (30%) of this method in detecting COVID-19 infection, we conclude that this method is not a useful screening tool for COVID-19 infection. The moderate negative predictive value (80%) is nongeneralizable.

Diagnostic Test On Modified Score Of Cesarean Section History In Placenta Accreta Index In Predicting Placenta Accreta Diagnosis In Rsup Dr M Djamil

Introduction : Placenta accreta is defined as abnormal implantation of placenta villi which invades myometrium without the presence of decidua bacalis resulting in placenta that is difficult to remove. Based on the depth of invasion, placenta accreta is divided into three grades, placenta accreta, placenta increta, and placenta percreta. Placenta accreta developes if chorionic villi attaches to endometrium beyond desidua basalis. Placenta increta develops when chorionic villi invades the whole myometrium. Placenta percreta developes when chorionic villi attaches beyond myometrium reaching serous and abdominal organ. Based on clinical manifestation, placenta accreta is the common term being used. Incident of abnormal placenta invasion varies from 1 : 93.000 up to 1 : 540 pregnancy. PA incidence had increased four times from 1994 to 2002 in line with increased of caesarean section procedure. Other study showed history of caesarean section increased risk of placenta accreta up to 8,7 times. Placenta accreta index (PAI) was developed based on scoring process or various parameters assessment to help diagnose placenta accreta. The parameters including: history of caesarean section ≥ 2 times, lacunae grade, sagittal smallest myometrial thickness, anterior placenta previa and birding vessel. High PAI indicates high risk of abnormal placenta invasion based on histology.Objective : This study aims to investigate modified history of cesarean section score in placenta accreta index in predicting placenta accreta diagnosis in RSUP DR M Djamil Padang.Material and methods : This was analytical study with cross sectional design. Study population was 84 placenta accreta patients in RSUP Dr. M. Djamil Padang from 2016 to 2019. Study sample was recruited using simple random sampling technique after meeting inclusion and exclusion criteria. Statistic analysis was done using Cohen’s Kappa test. Diagnostic test including sensiticivy, specivicity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy.Result : Strenght of agreement diagnosis placenta accreta based on PAI showed Kappa score of -0,002 (Kappa score &lt; 0,2) which indicated poor strength of agreement. Strenght of agreement diagnosis placenta accreta based on modified PAI showed Kappa score of 0,353 (Kappa score range from 0,21 to 0,40) which indicated fair strength of agreement. PAI diagnostic test yield sensitivity of 97,1%, specificity of 2,8%, positive predictive value of 48,5%, negative predictive value of 50%, and accuracy of 48,6%. Modified PAI diagnostic test yield sensitivity of 97,1%, specificity of 38,9%, positive predictive value of 60%, negative predictive value of 93,3%, and accuracy of 67,1%.Conclusion : PAI has high sensitivity, low specificity, moderate positive predictive value, moderate negative predictive value, and moderate accuration. Modified PAI has high sensitivity, moderate specificity, moderate positive predictive value, high negative predictive value, and high accuracy. PAI diagnosis has poor strength of agreement compared with pathology anatomy. Modified PAI diagnosis has fair strength of agreement compared with pathology anatomy. Modified PAI has identical sensitivity with standard PAI, meanwhile for specificity, positive predictive value, negative predictive value, and accuracy, modified PAI yields higher result compared to PAI.Keywords: Modified score of history caesarean section, placenta accreta index, Modified placenta accreta index, diagnostic test of placenta accreta diagnosis

Validation of Claims Data for the Identification of Intraoperative Transesophageal Echocardiography During Cardiac Surgery

The goal of this study was to assess the validity of Current Procedural Terminology (CPT) claims data for the identification of intraoperative transesophageal echocardiography (TEE) during cardiac surgery. This study was a retrospective, cohort analysis. This study used data from electronic medical records (EMRs), in combination with CPT billing claims data, from two hospitals within the Penn Medicine Health System-Penn Presbyterian Medical Center and the Hospital of the University of Pennsylvania. The cohort consisted of adult patients, aged ≥18 years, undergoing open cardiac valve surgery (repair or replacement), coronary artery bypass graft surgery, or aortic surgery between April 1 and October 31, 2019. Agreement between TEE identified using CPT billing code(s) (93312-8 with or without 93320-1 or 93325) and TEE identified by manual EMR review. As identified by a reference standard (ie, EMR review) of the 873 cases that met inclusion criteria, 867 (99.31%) cases were performed with TEE and six cases were performed without TEE (<1%). Of the 867 cases performed with TEE, CPT code(s) correctly identified 866 cases, as indicated by having at least one of the CPT codes (93312-8 with or without 93320-1 or 93325). These CPT codes identified intraoperative TEE with a 99.88% sensitivity, 100.00% specificity, 100.00% positive predictive value, and 85.71% negative predictive value. When billing claims for TEE were restricted to the CPT code 93312 alone, the results were identical. Billing claims using CPT code(s) identified true intraoperative TEE with a high sensitivity, specificity, excellent positive predictive value, and moderate negative predictive value. These results demonstrated that claims data are a valuable data source from which to study the effect of TEE in cardiac surgical patients.

Accuracy of Third Trimester Ultrasound for Predicting Large-for-Gestational Age Newborn in Women with Gestational Diabetes Mellitus

Objective: To determine the accuracy of ultrasonography for predicting a large-for-gestational-age (LGA) newborn in women with gestational diabetes mellitus (GDM).Materials and Methods: Singleton pregnancy, diagnosed with GDM were recruited. They underwent ultrasonography at 32-36 weeks’ gestation for fetal biometry. Biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur length (FL). Estimated fetal weight (EFW) was derived from these 4 parameters by Hadlock formula. Delivery of an LGA newborn in women with the ultrasound finding of LGA fetus was the primary outcome.Results: Of 345 studied women, 107 (31%) had an LGA newborn. EFW of ≥ 90 th percentile at third trimester ultrasonography was found in 13 women, all of whom had an LGA newborn. It had a positive predictive value (PPV), specificity, sensitivity and negative predictive value (NPV) of 100%, 100%, 12.1% and 71.7% respectively to predict LGA at birth. Considering each fetal parameter individually, AC &gt; 90 th percentile and HC &gt; 90 th percentile had odds ratios (OR) with 95% confidence intervals of the newborn being LGA of 6.5 (3.3-12.8) and 2.0 (1.0-4.0) respectively while EFW &gt; 85 th percentile had the highest OR of 9.3 (1.1-77.9). Lowering cutoff values of EFW to 80 th and 70 th percentile increased the sensitivity and NPV for prediction of LGA at birth while reducing the PPV and specificity slightly.Conclusion: EFW derived from the third trimester ultrasonography in GDM had high PPV and specificity with low to moderate sensitivity and NPV to predict an LGA newborn in GDM.

Nasogastric tube insertion using conventional versus bubble technique for its confirmation in anesthetized patients: a prospective randomized study

BackgroundNasogastric tube insertion and confirmation of its position can be difficult in the anesthetized patient. The purpose of the present study was to compare the bubble technique with the conventional method for confirmation of nasogastric tube placement in these patients. MethodsTwo hundred sixty adult patients, aged between 20...70 years, posted for surgeries requiring general anesthesia, tracheal intubation, and a nasogastric tube were enrolled in this study. Patients were randomized into 2 groups: Group B (Bubble group) and Group C (Control group). In Group C, a conventional technique using a lubricated nasogastric tube was positioned through the nostril with head remained neutral. In Group B, 2% lidocaine jelly was added to the proximal end to form a single bubble. The correct placement of the nasogastric tube in the stomach was confirmed by fluoroscopy by an independent observer intraoperatively. ResultsThe duration of nasogastric tube insertion was 57.2..13.3seconds in Group B and 59.8..11.9seconds in Group C (p=0.111). The confirmation rate of the bubble technique was 76.8% (95% CI: 68.7...83.3), which was significantly better than the conventional method where the confirmation rate was 59.7% (95% CI 50.9...67.9), p<0.001. When compared to fluoroscopy, bubble technique was found to have a sensitivity of 92.3% (95% CI: 85.6...96.1) with specificity of 81.0% (95% CI: 60.0...92.3), positive predictive value of 96.0% (95% CI: 90.2...98.4), and a moderate negative predictive value of 68.0% (95% CI: 48.4...82.8). ConclusionsThe bubble technique of nasogastric tube insertion has a higher confirmation rate in comparison to the conventional technique. Trial Registry NumberClinical Trial Registry of India (CTRI/2018/09/015864).