Displaying publications 101 - 120 of 364 in total

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  1. Quar TK, Soli SD, Chan YF, Ishak WS, Abdul Wahat NH
    Int J Audiol, 2017 02;56(2):92-98.
    PMID: 27686009 DOI: 10.1080/14992027.2016.1210828
    OBJECTIVE: This study was conducted to evaluate the speech perception of Malaysian Chinese adults using the Taiwanese Mandarin HINT (MHINT-T) and the Malay HINT (MyHINT).

    DESIGN: The MHINT-T and the MyHINT were presented in quiet and noise (front, right and left) conditions under headphones. Results for the two tests were compared with each other and with the norms for each test.

    STUDY SAMPLE: Malaysian Chinese native speakers of Mandarin (N = 58), 18-31 years of age with normal hearing.

    RESULTS: On average, subjects demonstrated poorer speech perception ability than the normative samples for these tests. Repeated measures ANOVA showed that speech reception thresholds (SRTs) were slightly poorer on the MHINT-T than on the MyHINT for all test conditions. However, normalized SRTs were poorer by 0.6 standard deviations for MyHINT as compared with MHINT-T.

    CONCLUSIONS: MyHINT and MHINT-T can be used as norm-referenced speech perception measures for Mandarin-speaking Chinese in Malaysia.

    Matched MeSH terms: Predictive Value of Tests
  2. Saffian SM, Duffull SB, Wright D
    Clin. Pharmacol. Ther., 2017 Aug;102(2):297-304.
    PMID: 28160278 DOI: 10.1002/cpt.649
    There is preliminary evidence to suggest that some published warfarin dosing algorithms produce biased maintenance dose predictions in patients who require higher than average doses. We conducted a meta-analysis of warfarin dosing algorithms to determine if there exists a systematic under- or overprediction of dose requirements for patients requiring ≥7 mg/day across published algorithms. Medline and Embase databases were searched up to September 2015. We quantified the proportion of over- and underpredicted doses in patients whose observed maintenance dose was ≥7 mg/day. The meta-analysis included 47 evaluations of 22 different warfarin dosing algorithms from 16 studies. The meta-analysis included data from 1,492 patients who required warfarin doses of ≥7 mg/day. All 22 algorithms were found to underpredict warfarin dosing requirements in patients who required ≥7 mg/day by an average of 2.3 mg/day with a pooled estimate of underpredicted doses of 92.3% (95% confidence interval 90.3-94.1, I(2) = 24%).
    Matched MeSH terms: Predictive Value of Tests
  3. Ashley SE, Tan HT, Vuillermin P, Dharmage SC, Tang MLK, Koplin J, et al.
    Allergy, 2017 Sep;72(9):1356-1364.
    PMID: 28213955 DOI: 10.1111/all.13143
    BACKGROUND: A defective skin barrier is hypothesized to be an important route of sensitization to dietary antigens and may lead to food allergy in some children. Missense mutations in the serine peptidase inhibitor Kazal type 5 (SPINK5) skin barrier gene have previously been associated with allergic conditions.

    OBJECTIVE: To determine whether genetic variants in and around SPINK5 are associated with IgE-mediated food allergy.

    METHOD: We genotyped 71 "tag" single nucleotide polymorphisms (tag-SNPs) within a region spanning ~263 kb including SPINK5 (~61 kb) in n=722 (n=367 food-allergic, n=199 food-sensitized-tolerant and n=156 non-food-allergic controls) 12-month-old infants (discovery sample) phenotyped for food allergy with the gold standard oral food challenge. Transepidermal water loss (TEWL) measures were collected at 12 months from a subset (n=150) of these individuals. SNPs were tested for association with food allergy using the Cochran-Mantel-Haenszel test adjusting for ancestry strata. Association analyses were replicated in an independent sample group derived from four paediatric cohorts, total n=533 (n=203 food-allergic, n=330 non-food-allergic), mean age 2.5 years, with food allergy defined by either clinical history of reactivity, 95% positive predictive value (PPV) or challenge, corrected for ancestry by principal components.

    RESULTS: SPINK5 variant rs9325071 (A⟶G) was associated with challenge-proven food allergy in the discovery sample (P=.001, OR=2.95, CI=1.49-5.83). This association was further supported by replication (P=.007, OR=1.58, CI=1.13-2.20) and by meta-analysis (P=.0004, OR=1.65). Variant rs9325071 is associated with decreased SPINK5 gene expression in the skin in publicly available genotype-tissue expression data, and we generated preliminary evidence for association of this SNP with elevated TEWL also.

    CONCLUSIONS: We report, for the first time, association between SPINK5 variant rs9325071 and challenge-proven IgE-mediated food allergy.

    Matched MeSH terms: Predictive Value of Tests
  4. Sivanathan J, Thilaganathan B
    PMID: 28456373 DOI: 10.1016/j.bpobgyn.2017.03.005
    Prenatal diagnosis is a rapidly evolving speciality. Screening for aneuploidy begins with non-sonographic features of background risk of maternal age and past and family history. It is possible to diagnose major structural defects in the foetus using second trimester scans. Serum biochemistry markers in the early second trimester were added to increase the detection rate of aneuploidy. However, as some of these abnormalities were amenable to detection earlier in the first trimester, newer modalities were introduced. Nuchal translucency (NT) measurement was one of the main advances with regard to first trimester screening. Additional markers such as the presence of nasal bone, tricuspid regurgitation, ductus venosus and megacystis; together with first trimester serum biochemistry, further enhanced the detection rate of chromosomal abnormalities. Advances in research and technology have resulted in the availability of non-invasive prenatal testing from 10 weeks of gestation. This has facilitated the detection of the three major chromosomal aneuploidies at very early gestation. However, there are a wide range of genetic syndromes that are not confined to the main trisomies. There are specific markers on ultrasound that can be linked to specific syndromes. Hence, a structured and stepwise approach is needed to identify and reach a possible diagnosis. As anomalies are classified into malformations, deformations and disruptions, it is important to note that not all markers detected are due to genetic syndromes and not all genetic syndromes can be detected on ultrasound scan. In this chapter, we outline common structural markers and their association with main genetic syndromes.
    Matched MeSH terms: Predictive Value of Tests
  5. Hamizan AW, Loftus PA, Alvarado R, Ho J, Kalish L, Sacks R, et al.
    Laryngoscope, 2018 09;128(9):2015-2021.
    PMID: 29602169 DOI: 10.1002/lary.27180
    OBJECTIVES/HYPOTHESIS: Polypoid edema of the middle turbinate is a marker of inhalant allergy. Extensive edematous changes may result in limited central nasal and sinus disease, which has been called central compartment atopic disease (CCAD). Radiologically, this is seen as soft tissue thickening in the central portion of the sinonasal cavity with or without paranasal sinus involvement. When the sinuses are involved, the soft tissue thickening spares the sinus roof or lateral wall (centrally limited). This centrally limited radiological pattern was assessed among chronic rhinosinusitis (CRS) patients and compared to allergy status.

    STUDY DESIGN: Diagnostic cross-sectional study.

    METHODS: This study included consecutive CRS patients without prior sinus surgery. Computed tomography (CT) scans of the paranasal sinuses were blindly assessed and allergy status was confirmed by serum or skin testing. Individual sinus cavities were defined as either centrally limited or diffuse disease. The radiological pattern that may predict allergy was determined, and its diagnostic accuracy was calculated.

    RESULTS: One hundred twelve patients diagnosed to have CRS, representing 224 sides, were assessed (age 46.31 ± 13.57 years, 38.39% female, 41.07% asthma, Lund-Mackay CT score 15.88 ± 4.35, 56.25% atopic). The radiological pattern defined by centrally limited changes in all of the paranasal sinuses was associated with allergy status (73.53% vs. 53.16%, P = .03). This predicted atopy with 90.82% specificity, 73.53% positive predictive value, likelihood positive ratios of 2.16, and diagnostic odds ratio of 4.59.

    CONCLUSIONS: A central radiological pattern of mucosal disease is associated with inhalant allergen sensitization. This group may represent a CCAD subgroup of patients with mainly allergic etiology.

    LEVEL OF EVIDENCE: 3b Laryngoscope, 128:2015-2021, 2018.

    Matched MeSH terms: Predictive Value of Tests
  6. Chan WK, Nik Mustapha NR, Mahadeva S, Wong VW, Cheng JY, Wong GL
    J Gastroenterol Hepatol, 2018 Oct;33(10):1787-1794.
    PMID: 29603365 DOI: 10.1111/jgh.14150
    BACKGROUND AND AIM: There are limited studies on controlled attenuation parameter (CAP) using Fibroscan XL probe for the diagnosis of hepatic steatosis grade. The aim of this study was to determine whether previously defined optimal cut-offs for CAP using the M probe could be applied for the XL probe.

    METHODS: Adult patients with chronic liver disease who had a liver biopsy and examination with both the M and XL probes were included. Previously defined optimal cut-offs for CAP using the M probe were used for the diagnosis of steatosis grades ≥S1, ≥S2, and S3 (248, 268, and 280 dB/m, respectively).

    RESULTS: Data for 180 patients were analyzed (mean age 53.7 ± 10.8 years; central obesity 84.5%; non-alcoholic fatty liver disease 86.7%). The distribution of steatosis grades was S0, 9.4%; S1, 28.3%; S2, 43.9%, and S3, 18.3%. The sensitivity, specificity, positive predictive value, and negative predictive value of CAP using the M/XL probe for the diagnosis of steatosis grade ≥S1 was 93.9%/93.3%, 58.8%/58.8%, 95.6%/95.6%, and 50.0%/47.6%, respectively. These values were 94.6%/94.6%, 41.2%/44.1%, 72.6%/73.6%, and 82.4%/83.3%, respectively, for ≥S2, and 87.9%/87.9%, 27.2%/27.9%, 21.3%/21.5%, and 90.9%/91.1%, respectively, for S3.

    CONCLUSION: The same cut-off values for CAP may be used for the M and XL probes for the diagnosis of hepatic steatosis grade.

    Matched MeSH terms: Predictive Value of Tests
  7. Au A, Cheng KK, Wei LK
    Adv Exp Med Biol, 2017;956:599-613.
    PMID: 27722964 DOI: 10.1007/5584_2016_79
    Hypertension is a common but complex human disease, which can lead to a heart attack, stroke, kidney disease or other complications. Since the pathogenesis of hypertension is heterogeneous and multifactorial, it is crucial to establish a comprehensive metabolomic approach to elucidate the molecular mechanism of hypertension. Although there have been limited metabolomic, lipidomic and pharmacometabolomic studies investigating this disease to date, metabolomic studies on hypertension have provided greater insights into the identification of disease-specific biomarkers, predicting treatment outcome and monitor drug safety and efficacy. Therefore, we discuss recent updates on the applications of metabolomics technology in human hypertension with a focus on metabolic biomarker discovery.
    Matched MeSH terms: Predictive Value of Tests
  8. Mumtaz W, Xia L, Mohd Yasin MA, Azhar Ali SS, Malik AS
    PLoS One, 2017;12(2):e0171409.
    PMID: 28152063 DOI: 10.1371/journal.pone.0171409
    Treatment management for Major Depressive Disorder (MDD) has been challenging. However, electroencephalogram (EEG)-based predictions of antidepressant's treatment outcome may help during antidepressant's selection and ultimately improve the quality of life for MDD patients. In this study, a machine learning (ML) method involving pretreatment EEG data was proposed to perform such predictions for Selective Serotonin Reuptake Inhibitor (SSRIs). For this purpose, the acquisition of experimental data involved 34 MDD patients and 30 healthy controls. Consequently, a feature matrix was constructed involving time-frequency decomposition of EEG data based on wavelet transform (WT) analysis, termed as EEG data matrix. However, the resultant EEG data matrix had high dimensionality. Therefore, dimension reduction was performed based on a rank-based feature selection method according to a criterion, i.e., receiver operating characteristic (ROC). As a result, the most significant features were identified and further be utilized during the training and testing of a classification model, i.e., the logistic regression (LR) classifier. Finally, the LR model was validated with 100 iterations of 10-fold cross-validation (10-CV). The classification results were compared with short-time Fourier transform (STFT) analysis, and empirical mode decompositions (EMD). The wavelet features extracted from frontal and temporal EEG data were found statistically significant. In comparison with other time-frequency approaches such as the STFT and EMD, the WT analysis has shown highest classification accuracy, i.e., accuracy = 87.5%, sensitivity = 95%, and specificity = 80%. In conclusion, significant wavelet coefficients extracted from frontal and temporal pre-treatment EEG data involving delta and theta frequency bands may predict antidepressant's treatment outcome for the MDD patients.
    Matched MeSH terms: Predictive Value of Tests
  9. Acharya UR, Hagiwara Y, Adeli H
    Epilepsy Behav, 2018 11;88:251-261.
    PMID: 30317059 DOI: 10.1016/j.yebeh.2018.09.030
    In the past two decades, significant advances have been made on automated electroencephalogram (EEG)-based diagnosis of epilepsy and seizure detection. A number of innovative algorithms have been introduced that can aid in epilepsy diagnosis with a high degree of accuracy. In recent years, the frontiers of computational epilepsy research have moved to seizure prediction, a more challenging problem. While antiepileptic medication can result in complete seizure freedom in many patients with epilepsy, up to one-third of patients living with epilepsy will have medically intractable epilepsy, where medications reduce seizure frequency but do not completely control seizures. If a seizure can be predicted prior to its clinical manifestation, then there is potential for abortive treatment to be given, either self-administered or via an implanted device administering medication or electrical stimulation. This will have a far-reaching impact on the treatment of epilepsy and patient's quality of life. This paper presents a state-of-the-art review of recent efforts and journal articles on seizure prediction. The technologies developed for epilepsy diagnosis and seizure detection are being adapted and extended for seizure prediction. The paper ends with some novel ideas for seizure prediction using the increasingly ubiquitous machine learning technology, particularly deep neural network machine learning.
    Matched MeSH terms: Predictive Value of Tests
  10. Kandane-Rathnayake R, Golder V, Louthrenoo W, Luo SF, Jan Wu YJ, Li Z, et al.
    Int J Rheum Dis, 2019 Mar;22(3):425-433.
    PMID: 30398013 DOI: 10.1111/1756-185X.13431
    AIM: The aim of this manuscript is to describe the development of the Asia Pacific Lupus Collaboration (APLC) cohort.

    METHOD: The APLC cohort is an ongoing, prospective longitudinal cohort. Adult patients who meet either the American College of Rheumatology (ACR) Modified Classification Criteria for systemic lupus erythematosus (SLE), or the Systemic Lupus International Collaborating Clinics (SLICC) Classification Criteria, and provide informed consent are recruited into the cohort. Patients are routinely followed up at 3- to 6-monthly intervals. Information on demographics, clinical manifestations, treatment, pathology results, outcomes, and patient-reported quality of life (Short-form 36 version 2) are collected using a standardized case report form. Each site is responsible for obtaining local ethics and governance approval, patient recruitment, data collection, and data transfer into a centralized APLC database.

    RESULTS: The latest APLC cohort comprises 2160 patients with >12 000 visits from Australia, China, Hong Kong, Indonesia, Japan, Malaysia, Philippines, Singapore, Taiwan and Thailand. The APLC has proposed the Lupus Low Disease Activity State (LLDAS) as a treat-to-target (T2T) endpoint, and reported several retrospective and cross-sectional analyses consistent with the validity of LLDAS. Longitudinal validation of LLDAS as a T2T endpoint is currently underway.

    CONCLUSION: The APLC cohort is one of the largest contemporary SLE patient cohorts in the world. It is the only cohort with substantial representation of Asian patients. This cohort represents a unique resource for future clinical research including evaluation of other endpoints and quality of care.

    Matched MeSH terms: Predictive Value of Tests
  11. Chan WK, Treeprasertsuk S, Goh GB, Fan JG, Song MJ, Charatcharoenwitthaya P, et al.
    Clin Gastroenterol Hepatol, 2019 11;17(12):2570-2580.e37.
    PMID: 30876959 DOI: 10.1016/j.cgh.2019.03.006
    BACKGROUND & AIMS: Measuring liver stiffness only in patients with indeterminate or high nonalcoholic fatty liver disease (NAFLD) fibrosis scores (called a 2-step approach) was reported to reduce indeterminate or discordant results while maintaining the accuracy to identify patients with advanced fibrosis. We aimed to validate this approach using data collected from the Gut and Obesity in Asia Workgroup.

    METHODS: We performed a retrospective analysis of data from 759 patients with biopsy-proven NAFLD (24% with advanced fibrosis), seen at 10 centers in 9 countries in Asia, from 2006 through 2018. By using liver biopsies as the reference standard, we calculated percentages of misclassifications and indeterminate or discordant results from assessments made based on fibrosis scores (NAFLD fibrosis score [NFS] or Fibrosis-4 score) and liver stiffness measurements (LSMs), alone or in combination. The analysis was repeated using randomly selected subgroups with a different prevalence of advanced fibrosis (histologic fibrosis stage ≥F3).

    RESULTS: In groups in which 3.7% and 10% of patients had advanced fibrosis, a 2-step approach (using the NFS followed by LSM only for patients with indeterminate or high NFS) and using a gray zone of 10 to 15 kPa for LSM, produced indeterminate or discordant results for 6.9% of patients and misclassified 2.7% of patients; only 25.6% of patients required LSM. In the group in which 10% of patients had advanced fibrosis, the same approach produced indeterminate or discordant results for 7.9% of patients and misclassified 6.6% of patients; only 27.4% of patients required LSM. In groups in which 24% and 50% of patients had advanced fibrosis, using LSM ≥10 kPa alone for the diagnosis of advanced fibrosis had the highest accuracy and misclassified 18.1% and 18.3% of patients, respectively. These results were similar when the Fibrosis-4 score was used in place of NFS.

    CONCLUSIONS: In a retrospective analysis, we found that a 2-step approach using fibrosis scores followed by LSM most accurately detects advanced fibrosis in populations with a low prevalence of advanced fibrosis. However, LSM ≥10 kPa identifies patients with advanced fibrosis with the highest level of accuracy in populations with a high prevalence of advanced fibrosis.

    Matched MeSH terms: Predictive Value of Tests
  12. Fong SL, Lim KS, Tan L, Aris T, Khalid RA, Ali RA, et al.
    Epilepsy Behav, 2019 08;97:206-211.
    PMID: 31252280 DOI: 10.1016/j.yebeh.2019.05.033
    INTRODUCTION: Prevalence studies of epilepsy in Asia revealed a prevalence ranging from 1.5 to 14.0 per 1000 among Asian populations. However, the prevalence of epilepsy in Malaysia is not available for comparison with other countries. This study aimed to translate and validate a Malay brief screening instruments for ascertainment of epilepsy.

    METHOD: We translated into Malay a brief screening instrument for ascertainment of epilepsy designed and validated by Ottman et al., using the three-stage cross-cultural adaptation process developed by the International Quality of Life Assessment (IQOLA) project. We then administered the translated questionnaire via online survey to 162 cases (patients with epilepsy under follow-up care at the neurology clinic in University of Malaya Medical Centre, Kuala Lumpur) and 146 controls with no known history of epilepsy for validation.

    RESULTS: Applying the most liberal definition for a positive screen, we obtained a sensitivity of 96.3% (95% confidence interval [CI]: 91.8-98.5%), with a specificity of 66.4% (95% CI: 58.1-73.0%) and positive predictive value (PPV) of 2.0%. The most stringent definition for a positive screen (only epilepsy) resulted in a sensitivity of 97.4% (95% CI: 62.0-72.6%), specificity of 98.6% (95% CI: 94.6-99.7%), and PPV of 26.6%. Narrowing the definition of a positive screen decreased sensitivity but improved PPVs. When compared to the original English questionnaire, the sensitivities were similar for all four definitions of a positive screen.

    CONCLUSION: This is the first validated epilepsy screening questionnaire in the Malay language and represents a useful tool for the ascertainment of epilepsy in population-based studies.

    Matched MeSH terms: Predictive Value of Tests
  13. Samiei A, Liang JB, Ghorbani GR, Hirooka H, Yaakub H, Tabatabaei M
    Pol J Vet Sci, 2010;13(2):349-56.
    PMID: 20731192
    The first objective of this study was to investigate the relationship between concentrations of beta-hydroxybutyrate (BHBA) in milk and blood to assess the reliability of the BHBA concentrations in milk measured by a semi quantitative keto-test paper to detect subclinical ketosis (SCK) in 50 fresh high-producing Iranian Holstein cows in Golestan Province, Iran. The second objective was the effects of SCK on milk yield and components. Concentrations of nonesterified fatty acids (NEFA) and BHBA were analyzed quantitatively in blood plasma and commercial keto-test paper was used for semi quantitative determination of BHBA concentration in milk. Milk yield was measured until 60 d after calving but milk compositions were measured until 30 d after calving. The mean plasma BHBA, milk BHBA, plasma NEFA, milk yield, milk fat percentage and milk fat: protein ratio were 1,234 micromol/L, 145 micromol/L, 0.482 mEq/L, 29.5 kg, 3.9% and 1.4, respectively. Fifty eight percent of the cows had SCK during the first month of lactation. High correlation coefficients were observed between blood BHBA and blood NEFA, and between blood and milk BHBA. The milk yield of cattle with SCK decreased (P < 0.01) but the fat percentage and milk fat: protein ratio increased (P < 0.01). The commercial keto-test paper used had a low false positive result at a cut-off point of 200 fmol of BHBA/L of milk. The results showed that the best time to assess SCK using the commercial keto-test paper was d 10, 14 and 17 after calving.
    Matched MeSH terms: Predictive Value of Tests
  14. Lee WS, Looi LM
    World J Gastroenterol, 2009 Nov 14;15(42):5326-33.
    PMID: 19908342 DOI: 10.3748/wjg.15.5326
    AIM: To ascertain the usefulness of a histological scoring system devised to assist in the interpretation of liver histology in neonatal cholestasis (NC).

    METHODS: Liver biopsy specimens obtained from infants with NC referred to a tertiary pediatric unit in Malaysia were prospectively studied. The first author, blinded to the final diagnosis, devised the histological diagnosis based on a 7-feature (portal ductal proliferation, bile plugs in portal ductules, porto-portal bridging, lymphocytic infiltration in portal region, multinucleated hepatocytes, neutrophilic infiltration, hepatocellular swelling), 15-point (0 to 15) scoring system. The author classified the histological diagnosis as either biliary atresia (BA) or neonatal hepatitis (NH, all other diagnoses), and subsequently compared the author's diagnosis with the final diagnosis.

    RESULTS: Eighty-four biopsy specimens obtained from 78 patients were reviewed. Without the scoring system, BA was correctly diagnosed by the author histologically in 30 cases, labelled as NH in 3. For other diagnoses, BA was excluded correctly in 33 cases and mislabeled as BA in 2 cases. The overall sensitivity for BA was 91%, specificity 86% and accuracy 88%. With the scoring system, a score of >or=7 had the best diagnostic utility to differentiate BA from other intrahepatic cholestasis histologically (sensitivity 88%, specificity 94%, accuracy 92%). Four patients with a score<7 had BA, and 3 patients with a score>or=7 had NH.

    CONCLUSION: A 7-feature, 15-point histological scoring system had good diagnostic accuracy in the interpretation of liver histology in neonatal cholestasis.
    Matched MeSH terms: Predictive Value of Tests
  15. Lee M, Harrison BA, Lewis GE
    Am J Trop Med Hyg, 1990 Apr;42(4):314-9.
    PMID: 2184690 DOI: 10.4269/ajtmh.1990.42.314
    A modified version of the standard 2-site sporozoite enzyme-linked immunosorbent assay (ELISA) using 3,3',5,5'-tetramethylbenzidine (TMB) as the substrate chromogen solution was adapted for rapid detection and identification of Plasmodium falciparum and P. vivax circumsporozoite (CS) proteins. The TMB-ELISA was evaluated using sporozoites from experimentally infected mosquitoes and laboratory colonized uninfected mosquitoes. Our data indicate comparable sensitivity levels between the TMB-ELISA and the standard ELISA, i.e., 50 P. falciparum or P. vivax sporozoites/50 microliters of test solution. Reactions inherent to the method were specific and background reactivity was minimal. The TMB-ELISA is rapid (1 hr), simple, uses a minimal amount of monoclonal antibodies, and is suitable for use in a wide range of laboratories.
    Matched MeSH terms: Predictive Value of Tests
  16. Toh TH, Abdul-Aziz NA, Yahya MA, Goh KJ, Loh EC, Capelle DP, et al.
    Clin Neurophysiol, 2021 10;132(10):2722-2728.
    PMID: 34312065 DOI: 10.1016/j.clinph.2021.05.034
    OBJECTIVE: We aimed to develop a model to predict amyotrophic lateral sclerosis (ALS) disease progression based on clinical and neuromuscular ultrasound (NMUS) parameters.

    METHODS: ALS patients were prospectively recruited. Muscle fasciculation (≥2 over 30-seconds, examined in biceps brachii-brachialis (BB), brachioradialis, tibialis anterior and vastus medialis) and nerve cross-sectional area (CSA) (median, ulnar, tibial, fibular nerve) were evaluated through NMUS. Ultrasound parameters were correlated with clinical data, including revised ALS Functional Rating Scale (ALSFRS-R) progression at one year. A predictive model was constructed to differentiate fast progressors (ALSFRS-R decline ≥ 1/month) from non-fast progressors.

    RESULTS: 40 ALS patients were recruited. Three parameters emerged as strong predictors of fast progressors: (i) ALSFRS-R slope at time of NMUS (p = 0.041), (ii) BB fasciculation count (p = 0.027) and (iii) proximal to distal median nerve CSA ratio 

    Matched MeSH terms: Predictive Value of Tests
  17. Goodson ML, Smith DR, Thomson PJ
    J Oral Pathol Med, 2017 Nov;46(10):896-901.
    PMID: 28833675 DOI: 10.1111/jop.12627
    BACKGROUND: Oral potentially malignant disorders (PMD) harbour unpredictable risk for squamous cell carcinoma development. Current management requires tissue biopsy for histopathology characterisation, dysplasia grading and targeted intervention to "high-risk" lesions, although evidence-based guidelines are limited and diagnoses subjective. This study investigated the use of adjunctive oral brush biopsy techniques during the management of PMD in a UK hospital population.

    METHODS: Retrospective review of a 310 PMD patient cohort presenting to Maxillofacial Surgery in Newcastle upon Tyne with new, single-site lesions between December 2009 and May 2014. Patients underwent Orcellex® brush biopsy and liquid-based cytology examination in addition to conventional biopsy techniques, with management proceeding along established care pathways. Patient demographics, cytology data, most significant histopathology diagnoses and clinical outcome were all documented at the study census date (31.12.15).

    RESULTS: A total of 170 male & 140 female patients (age range 18-91 years), exhibiting primarily leukoplakia (86.5%) at floor of mouth and ventrolateral tongue sites (44.9%), were identified. Management comprised: observation (49.7%), laser surgery (44.9%), antifungal treatment (3.5%) and Head & Neck clinic referral following cancer diagnosis (1.9%). Clinical outcomes were as follows: disease free (51.3%), persistent PMD (42.3%) and malignant transformation (6.4%). Histology and cytology diagnoses strongly correlated (r = .305). Treatment modality, lesion site, histology and cytology diagnoses were the best predictors of clinical outcome.

    CONCLUSIONS: Orcellex® brush cytology provides reliable diagnoses consistent with conventional histopathology and offers less invasive, adjunctive assessment appropriate for long-term monitoring of patients in specialist clinics.

    Matched MeSH terms: Predictive Value of Tests
  18. Ball V, Chiu CS, Lian YP, Lingeswaran L
    Physiother Theory Pract, 2018 Jan;34(1):54-57.
    PMID: 28816591 DOI: 10.1080/09593985.2017.1360423
    BACKGROUND: Newly qualified physiotherapists may be required to interpret an unreported chest X-ray (CXR) as part of their physiotherapy assessment in "on call" situations. Their interpretation may influence the patient management strategies they adopt. There is no research published which have tested the reliability of final year physiotherapy students in CXR interpretation.

    METHODS: Twenty-five final year physiotherapy students were asked to view and interpret the findings of six CXRs, together with a brief vignette, typical of a single commonly encountered diagnosis. Students were also asked if they had received additional CXR training on placement or had a desire to specialize in respiratory care.

    RESULTS: The CXR interpretations were scored as incorrect 0, partially correct 1 (abnormality detected but not able to diagnose or missed some detail) and 2 correct. Scores for each of the six CXRs were added to give a total score (out of 12). The median score was 3 out of 12, (range 0-9). Median scores were slightly higher at 4 out of 12 in those students with additional training or a desire to specialize (range 1-7), but this was not statistically significant (p = 0.43).

    CONCLUSIONS: Final year physiotherapy students were not able to reliably interpret CXRs. These findings were consistent with previous published research involving medical students. Therefore on graduation before starting "on call" duties it is recommended newly qualified physiotherapists receive additional training in CXR interpretation.

    Matched MeSH terms: Predictive Value of Tests
  19. Keong KM, Aziz I, Yin Wei CC
    J Orthop Surg (Hong Kong), 2017 01 01;25(1):2309499016684431.
    PMID: 29185383 DOI: 10.1177/2309499016684431
    PURPOSE: This study aims to derive a formula to predict post-operative height increment in Lenke 1 and Lenke 2 adolescent idiopathic scoliosis (AIS) patients using preoperative radiological parameters.

    METHODS: This study involved 70 consecutive Lenke 1 and 2 AIS patients who underwent scoliosis correction with alternate-level pedicle screw instrumentation. Preoperative parameters that were measured included main thoracic (MT) Cobb angle, proximal thoracic (PT) Cobb angle, lumbar Cobb angle as well as thoracic kyphosis. Side-bending flexibility (SBF) and fulcrum-bending flexibility (FBF) were derived from the measurements. Preoperative height and post-operative height increment was measured by an independent observer using a standardized method.

    RESULTS: MT Cobb angle and FB Cobb angle were significant predictors ( p < 0.001) of height increment from multiple linear regression analysis ( R = 0.784, R2 = 0.615). PT Cobb angle, lumbar, SB Cobb angle, preoperative height and number of fused segment were not significant predictors for the height increment based on the multivariable analysis. Increase in post-operative height could be calculated by the formula: Increase in height (cm) = (0.09 × preoperative MT Cobb angle) - (0.04 x FB Cobb angle) - 0.5.

    CONCLUSION: The proposed formula of increase in height (cm) = (0.09 × preoperative MT Cobb angle) - (0.04 × FB Cobb angle) - 0.5 could predict post-operative height gain to within 5 mm accuracy in 51% of patients, within 10 mm in 70% and within 15 mm in 86% of patients.

    Matched MeSH terms: Predictive Value of Tests
  20. Khamnuan P, Chuayunan N, Duangjai A, Saokaew S, Chaomuang N, Phisalprapa P
    Medicine (Baltimore), 2021 Dec 23;100(51):e28219.
    PMID: 34941083 DOI: 10.1097/MD.0000000000028219
    Necrotizing fasciitis (NF) is a life-threatening soft tissue infection that rapidly progresses and requires urgent surgery and medical therapy. If treatment is delayed, the likelihood of an unfavorable outcome, including death, is significantly increased. The goal of this study was to develop and validate a novel scoring model for predicting mortality in patients with NF. The proposed system is hereafter referred to as the Mortality in Necrotizing Fasciitis (MNF) scoring system. A total of 1503 patients with NF were recruited from 3 provincial hospitals in Thailand during January 2009 to December 2012. Patients were randomly allocated into either the derivation cohort (n = 1192) or the validation cohort (n = 311). Clinical risk factors used to develop the MNF scoring system were determined by logistic regression. Regression coefficients were transformed into item scores, the sum of which reflected the total MNF score. The following 6 clinical predictors were included: female gender; age > 60 years; white blood cell (WBC) ≤5000/mm3; WBC ≥ 35,000/mm3; creatinine ≥ 1.6 mg/dL, and pulse rate > 130/min. Area under the receiver operating characteristic curve (AuROC) analysis showed the MNF scoring system to have moderate power for predicting mortality in patients with NF (AuROC: 76.18%) with good calibration (Hosmer-Lemeshow χ2: 1.01; P = .798). The positive likelihood ratios of mortality in patients with low-risk scores (≤2.5) and high-risk scores (≥7) were 11.30 (95% confidence interval [CI]: 6.16-20.71) and 14.71 (95%CI: 7.39-29.28), sequentially. When used to the validation cohort, the MNF scoring system presented good performance with an AuROC of 74.25%. The proposed MNF scoring system, which includes 6 commonly available and easy-to-use parameters, was shown to be an effective tool for predicting mortality in patients with NF. This validated instrument will help clinicians identify at-risk patients so that early investigations and interventions can be performed that will reduce the mortality rate among patients with NF.
    Matched MeSH terms: Predictive Value of Tests
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