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Diagnosis of cancer is not a death sentence: Examining posttraumatic growth and its associated factors in cancer patients

Leong Abdullah MFI, Hami R, Appalanaido GK, Azman N, Mohd Shariff N, Md Sharif SS

J Psychosoc Oncol, 2019 03 01;37(5):636-651.
PMID: 30821660 DOI: 10.1080/07347332.2019.1574946

Objectives: Posttraumatic growth (PTG) is the experience of positive psychological growth as a result of struggle with highly challenging life crises. This study was conducted to investigate the degree of PTG and its associated factors, as well as to identify which positive psychological parameters most significantly associated with greater PTG among Malaysian cancer patients. Design, sample, & methods: This cross-sectional survey included 195 patients with different cancer diagnoses. Perceived spousal support, level of hope, level of optimism, and PTG were measured using various validated indexes. Findings: The total mean score for PTG Inventory-Short Form (PTGI-SF) was 39.87 (±9.09). Female gender, Islamic religious belief, and having higher level of hope and greater spousal support were associated with a higher PTGI-SF score, and the most significant predictor was the hope scale. Conclusions: Malaysian cancer patients exhibited a high level of PTG, and hope was the positive psychological factor which was most significantly associated with PTG. Implications for psychosocial providers: Psychosocial interventions that promote positive psychology should be included in the treatment for cancer patients.

Matched MeSH terms: Neoplasms/diagnosis
Fractal-based classification of electroencephalography (EEG) signals in healthy adolescents and adolescents with symptoms of schizophrenia

Namazi H, Aghasian E, Ala TS

Technol Health Care, 2019;27(3):233-241.
PMID: 30829625 DOI: 10.3233/THC-181497

Brain activity analysis is an important research area in the field of human neuroscience. Moreover, a subcategory in this field is the classification of brain activity in terms of different brain disorders. Since the Electroencephalography (EEG) signal is, in fact, a non-linear time series, employing techniques to investigate its non-linear structure is rather crucial. In this study, we evaluate the non-linear structure of the EEG signal between healthy and schizophrenic adolescents using fractal theory. The results of our analysis revealed that in terms of all recording channels, the EEG signal of healthy subjects is more complex compared to the ones suffering from schizophrenia. The statistical analysis also indicated that there is a significant difference in the complex structure of the EEG signal between these two groups of subjects. We also utilized approximate entropy in our analysis in order to verify the obtained results of the fractal analysis. The result of the entropy analysis suggested that EEG signal for healthy subjects is less random compared to the EEG signal in schizophrenic individuals. In addition, the employed methodology in this research can be further investigated in order to classify the brain activity in terms of other brain disorders, where one can explore how the complex structure of the EEG signal alters between them.

Matched MeSH terms: Schizophrenia/diagnosis*
Fulltext Rapid Detection of Sepsis using CESDA: the Caenorhabditis elegans Sepsis Detection Assay

Tee LF, Tan TL, Neoh HM, Jamal R

Rev Soc Bras Med Trop, 2019 Mar 14;52:e20180300.
PMID: 30892548 DOI: 10.1590/0037-8682-0300-2018

INTRODUCTION: The nematode Caenorhabditis elegans was used as a biological sensor to detect the urine of sepsis patients (CESDA assay).
METHODS: C. elegans was aliquoted onto the center of assay plates and allowed to migrate towards sepsis (T) or control (C) urine samples spotted on the same plate. The number of worms found in either (T) or (C) was scored at 10-minute intervals over a 60-minute period.
RESULTS: The worms were able to identify the urine (<48 hours) of sepsis patients rapidly within 20 minutes (AUROC=0.67, p=0.012) and infection within 40 minutes (AUROC=0.80, p=0.016).
CONCLUSIONS: CESDA could be further explored for sepsis diagnosis.

Matched MeSH terms: Sepsis/diagnosis*
Proceedings of the Inaugural Strategy Meeting for the Establishment of a Southeast Asia Regional Therapeutic Plasma Exchange Consortium for Neurological Disorders

Viswanathan S, Appiwatanakul M, Nayak A, Islam B, Khatri B, Pangeran D, et al.

Ther Apher Dial, 2019 Jun;23(3):289-297.
PMID: 30927331 DOI: 10.1111/1744-9987.12806

In conjunction with the third regional Southeast Asian (SEA) therapeutic plasma exchange (TPE) conference in Kuala Lumpur, Malaysia, 25 clinicians and researchers from SEA and South Asian countries attended the inaugural strategy meeting for the establishment of a regional TPE consortium for neurological disorders. The primary objective was to establish regional collaboration to improve delivery of TPE services in SEA. A pre-meeting survey was conducted to gather insights on disease spectrum, contextual practice challenges, and the need for a regional TPE consensus. Challenges identified include limited healthcare funding in support of diagnostic workup, TPE therapy, as well as development of clinical infrastructure and expertise capacity building. There was favorable interest in developing a working plan contextualized to this region. Strategies to overcome challenges were discussed. This included the need for a comprehensive referral system and network of regional TPE centers suited to local needs, supported by innovative TPE delivery programs.

Matched MeSH terms: Nervous System Diseases/diagnosis
Pelvic obliquity in adolescent idiopathic scoliosis planned for posterior spinal fusion: A preoperative analysis of 311 lower limb axis films

Chan CYW, Naing KS, Chiu CK, Mohamad SM, Kwan MK

J Orthop Surg (Hong Kong), 2019 6 25;27(2):2309499019857250.
PMID: 31232161 DOI: 10.1177/2309499019857250

PURPOSE: To analyze the incidence, pattern, and contributing factors of pelvic obliquity among Adolescent Idiopathic Scoliosis (AIS) patients who will undergo surgery.
METHODS: In total, 311 patients underwent erect whole spine anteroposterior, lateral and lower limb axis films. Radiographic measurements included Transilium Pelvic Height Difference (TPHD; mm), Hip Abduction-Adduction angle (H/Abd-Add; °), Lower limb Length Discrepancy (LLD; mm), and Pelvic Hypoplasia (PH angle; °). The incidence and severity of pelvic obliquity were stratified to Lenke curve subtypes in 311 patients. The causes of pelvic obliquity were analyzed in 57 patients with TPHD ≥10 mm.
RESULTS: The mean Cobb angle was 64.0 ± 17.2°. Sixty-nine patients had a TPHD of 0 mm (22.2%). The TPHD was <5 mm in 134 (43.0%) patients, 5-9 mm in 104 (33.4%) patients, 10-14 mm in 52 (16.7%) patients, 15-19 mm in 19 (6.1%) patients, and ≥20 mm in only 2 (0.6%) patients. There was a significant difference between the Lenke curve types in terms of TPHD (p = 0.002). L6 curve types had the highest TPHD of 9.0 ± 6.3 mm followed by L5 curves, which had a TPHD of 7.1 ± 4.8 mm. In all, 44.2% of L1 curves and 50.0% of L2 curves had positive TPHD compared to 66.7% of L5 curves and 74.1% of L6 curves which had negative TPHD. 33.3% and 24.6% of pelvic obliquity were attributed to PH and LLD, respectively, whereas 10.5% of cases were attributed to H/Abd-Add positioning.
CONCLUSIONS: 76.4% of AIS cases had pelvic obliquity <10 mm; 44.2% of L1 curves and 50.0% of L2 curves had a lower right hemipelvis compared to 66.7% of L5 curves and 74.1% of L6 curves, which had a higher right hemipelvis. Among patients with pelvic obliquity ≥10 mm, 33.3% were attributed to PH, whereas 24.6% were attributed to LLD.

Matched MeSH terms: Scoliosis/diagnosis
Multiclass Benchmarking Framework for Automated Acute Leukaemia Detection and Classification Based on BWM and Group-VIKOR

Alsalem MA, Zaidan AA, Zaidan BB, Albahri OS, Alamoodi AH, Albahri AS, et al.

J Med Syst, 2019 Jun 01;43(7):212.
PMID: 31154550 DOI: 10.1007/s10916-019-1338-x

This paper aims to assist the administration departments of medical organisations in making the right decision on selecting a suitable multiclass classification model for acute leukaemia. In this paper, we proposed a framework that will aid these departments in evaluating, benchmarking and ranking available multiclass classification models for the selection of the best one. Medical organisations have continuously faced evaluation and benchmarking challenges in such endeavour, especially when no single model is superior. Moreover, the improper selection of multiclass classification for acute leukaemia model may be costly for medical organisations. For example, when a patient dies, one such organisation will be legally or financially sued for incidents in which the model fails to fulfil its desired outcome. With regard to evaluation and benchmarking, multiclass classification models are challenging processes due to multiple evaluation and conflicting criteria. This study structured a decision matrix (DM) based on the crossover of 2 groups of multi-evaluation criteria and 22 multiclass classification models. The matrix was then evaluated with datasets comprising 72 samples of acute leukaemia, which include 5327 gens. Subsequently, multi-criteria decision-making (MCDM) techniques are used in the benchmarking and ranking of multiclass classification models. The MCDM used techniques that include the integrated BWM and VIKOR. BWM has been applied for the weight calculations of evaluation criteria, whereas VIKOR has been used to benchmark and rank classification models. VIKOR has also been employed in two decision-making contexts: individual and group decision making and internal and external group aggregation. Results showed the following: (1) the integration of BWM and VIKOR is effective at solving the benchmarking/selection problems of multiclass classification models. (2) The ranks of classification models obtained from internal and external VIKOR group decision making were almost the same, and the best multiclass classification model based on the two was 'Bayes. Naive Byes Updateable' and the worst one was 'Trees.LMT'. (3) Among the scores of groups in the objective validation, significant differences were identified, which indicated that the ranking results of internal and external VIKOR group decision making were valid.

Matched MeSH terms: Leukemia, Myeloid, Acute/diagnosis*
Glucose-6-phosphate dehydrogenase (G6PD) mutations in Myanmar: G6PD Mahidol (487G>A) is the most common variant in the Myanmar population

Matsuoka H, Wang J, Hirai M, Arai M, Yoshida S, Kobayashi T, et al.

J Hum Genet, 2004;49(10):544-547.
PMID: 15349799 DOI: 10.1007/s10038-004-0187-7

We conducted a survey of malaria diagnoses and treatments in remote areas of Myanmar. Blood specimens from more than 1,000 people were collected by the finger-prick method, and 121 (11%) of these people were found to be glucose-6-phosphate dehydrogenase (G6PD) deficient. Of these 121, 50 consented to analysis of the G6PD genome. We read the G6PD sequences of these subjects and found 45 cases of G6PD Mahidol (487G>A), two of G6PD Coimbra (592C>T), two of G6PD Union (1360C>T), and one of G6PD Canton (1376G>T). Taken together with data from our previous report, 91.3% (73/80) of G6PD variants were G6PD Mahidol. This finding suggests that the Myanmar population is derived from homogeneous ancestries and are different from Thai, Malaysian, and Indonesian populations.

Matched MeSH terms: Malaria/diagnosis
Diagnostic accuracy and ability to reduce unnecessary FNAC: A comparison between four Thyroid Imaging Reporting Data System (TI-RADS) versions

Tan L, Tan YS, Tan S

Clin Imaging, 2020 Sep;65:133-137.
PMID: 32470834 DOI: 10.1016/j.clinimag.2020.04.029

BACKGROUND: Thyroid Imaging Reporting Data System (TI-RADS) is used to characterize thyroid nodules while reducing unnecessary FNAC. Over the years, several versions of TI-RADS have been developed but there is no consensus on which TI-RADS is the best system. This study aimed to compare the diagnostic accuracy and ability of ACR TI-RADS, EU TI-RADS, K TI-RADS, AI TI-RADS to eliminate unnecessary FNAC.
METHODS: In this prospective study, thyroid nodules were characterized by using the four TI-RADS systems and US-guided FNAC was done for nodule with the highest ACR TI-RADS score. Correlation between TI-RADS and FNAC results were analyzed.
RESULTS: Out of 244 thyroid nodules, 100 nodules with either size <1 cm (43 nodules) non-diagnostic or inconclusive FNAC results (57 nodules) were excluded. Seven nodules (4.9%) were confirmed to be malignant on FNAC. K TI-RADS showed 100% sensitivity and NPV but the lowest specificity (40.2%). EU TI-RADS had the highest specificity (83.2%) but the lowest sensitivity (57.1%) and NPV (97.4%). ACR TI-RADS had an average sensitivity (85.7%) and NPV (98.6%). The specificity of ACR TI-RADS (51.1%) was lower than EU TI-RADS but higher than K TI-RADS. AI TI-RADS showed higher specificity (61.8% vs 51.1%, p

Matched MeSH terms: Thyroid Nodule/diagnosis
The importance of using a right test method in diagnosing leptospirosis

Ilham NE, Joseph NSM, Bahtiar Affendy N, Mohd Taib N, Vasantha KN, Masri SN

Trop Biomed, 2020 Jun 01;37(2):357-362.
PMID: 33612804

Leptospirosis is a common febrile illness in Malaysia. The disease is caused by pathogenic bacteria called leptospires that are transmitted directly or indirectly from animals to humans via contaminated water or soil. It is a potentially serious but treatable disease. Its symptoms may mimic those of other unrelated febrile illnesses such as dengue, influenza, meningitis, hepatitis or viral haemorrhagic fevers. The spectrum of the disease is extremely wide, ranging from subclinical infection to a severe syndrome of multiorgan infection with high mortality. The diagnosis requires high suspicion with history of exposure to water or environment possibly contaminated with infected animal urine. This is a case of a 13 year-oldgirl with no known medical illness, and a history of exposure to outdoor activities. However, paired sera for leptospirosis serology was not diagnostic. She then developed septic shock on day 14 of illness. But due to high suspicion of leptospirosis, antibiotic therapy was upgraded to ceftriaxone and samples were sent for further testing which revealed that leptospires were detected in the urine, using molecular technique. She improved after treated as leptospirosis.

Matched MeSH terms: Leptospirosis/diagnosis*
Glycosylated biomarker sensors: advancements in prostate cancer diagnosis

Abd Rahman SF, Md Arshad MK, Gopinath SCB, Fathil MFM, Sarry F, Ibau C

Chem Commun (Camb), 2021 Sep 23;57(76):9640-9655.
PMID: 34473143 DOI: 10.1039/d1cc03080a

Prostate cancer is currently diagnosed using the conventional gold standard methods using prostate-specific antigen (PSA) as the selective biomarker. However, lack of precision in PSA screening has resulted in needless biopsies and delays the treatment of potentially fatal prostate cancer. Thus, identification of glycans as novel biomarkers for the early detection of prostate cancer has attracted considerable attention due to their reliable diagnostic platform compared with the current PSA systems. Therefore, biosensing technologies that provide point-of-care diagnostics have demonstrated the ability to detect various analytes, including glycosylated micro- and macro-molecules, thereby enabling versatile detection methodologies. This highlight article discusses recent advances in the biosensor-based detection of prostate cancer glycan biomarkers and the innovative strategies for the conjugation of nanomaterials adapted to biosensing platforms. Finally, the article is concluded with prospects and challenges of prostate cancer biosensors and recommendations to overcome the issues associated with prostate cancer diagnosis.

Matched MeSH terms: Prostatic Neoplasms/diagnosis*
Fulltext Qualitative and quantitative exfoliative cytology of normal oral mucosa in type 2 diabetic patients

Shareef BT, Ang KT, Naik VR

Med Oral Patol Oral Cir Bucal, 2008 Nov;13(11):E693-6.
PMID: 18978708

Objective: The main purpose of this study is to emphasize the relevance of exfoliative cytology as an additional tool to aid in the diagnosis of diabetes mellitus.

Materials & methods: This is a comparative cross-sectional study. Oral smears were obtained from 10 diabetic patients and 10 healthy individuals. These smears were stained with Papanicolaou stain. The nuclear (NA) and cytoplasmic (CA) areas of 20 integral cells predominant in the buccal mucosa were measured using the Leica Qwin Version 2.1 image analysis system (LEICA GMBH GERMANY).The cytoplasmic/nuclear ratio (C/N) was then calculated. For comparing cytomorphometric parameters (NA, CA & C/N ratio) the Mann-Whitney test was used. Significance was set at P < or = 0.05.

Results: The morphologic alterations seen in buccal mucosal epithelial cells of the diabetic group were nuclear enlargement, karyorrhexis, binucleation and infiltration of polymorphonuclear leukocytes. The NA was significantly higher (P < 0.05) in the diabetic group. The CA between these two groups were not significantly different (P > 0.05). The C/N mean was significantly lower (P < 0.05) in the diabetic group.

Conclusion: Exfoliative cytology is useful as an additional tool to aid in the diagnosis of diabetes mellitus.

Matched MeSH terms: Diabetes Mellitus, Type 2/diagnosis*
Fulltext Using neural networks and just nine patient-reportable factors of screen for AMI

Bulgiba AM, Fisher MH

Health Informatics J, 2006 Sep;12(3):213-25.
PMID: 17023409 DOI: 10.1177/1460458206066665

The study investigated the effect of different input selections on the performance of artificial neural networks in screening for acute myocardial infarction (AMI) in Malaysian patients complaining of chest pain. We used hospital data to create neural networks with four input selections and used these to diagnose AMI. A 10-fold cross-validation and committee approach was used. All the neural networks using various input selections outperformed a multiple logistic regression model, although the difference was not statistically significant. The neural networks achieved an area under the ROC curve of 0.792 using nine inputs, whereas multiple logistic regression achieved 0.739 using 64 inputs. Sensitivity levels of over 90 per cent were achieved using low output threshold levels. Specificity levels of over 90 per cent were achieved using threshold levels of 0.4-0.5. Thus neural networks can perform as well as multiple logistic regression models even when using far fewer inputs.

Matched MeSH terms: Myocardial Infarction/diagnosis*
Type B patent ductus arteriosus

Wong A, Shahboden M, Pauzi W, Ibrahim W

Pediatr Cardiol, 2007 Jan-Feb;28(1):74-5.
PMID: 17318711 DOI: 10.1007/s00246-006-1398-9
Matched MeSH terms: Ductus Arteriosus, Patent/diagnosis*
Noninvasive Tests in the Assessment of NASH and NAFLD Fibrosis: Now and Into the Future

Adams LA, Chan WK

Semin Liver Dis, 2020 11;40(4):331-338.
PMID: 32526784 DOI: 10.1055/s-0040-1713006

Noninvasive serum and imaging methods offer accessible, accurate, and safe assessment of fibrosis severity in nonalcoholic fatty liver disease. In contrast, current serum and imaging methods for the prediction of nonalcoholic steatohepatitis are not sufficiently accurate for routine clinical use. Serum fibrosis markers that incorporate direct measures of fibrogenesis (for example, hyaluronic acid) or fibrinolysis are generally more accurate than biomarkers not incorporating direct measures of fibrogenesis. Elastography methods are more accurate than serum markers for fibrosis assessment and particularly for the determination of cirrhosis, but have a significant failure and/or unreliability rate in obese individuals. To overcome this, combining serum and elastography methods in a sequential manner minimizes indeterminate results and maintains accuracy. The accuracy of current noninvasive methods for monitoring fibrosis response to treatment are limited; however, new tools derived from "omic" methodologies offer promise for the future.

Matched MeSH terms: Liver Cirrhosis/diagnosis
Fulltext Plasmon-Enhanced Biosensing for Multiplexed Profiling of Extracellular Vesicles

Min J, Son T, Hong JS, Cheah PS, Wegemann A, Murlidharan K, et al.

Adv Biosyst, 2020 12;4(12):e2000003.
PMID: 32815321 DOI: 10.1002/adbi.202000003

Extracellular vesicles (EVs)-nanoscale phospholipid vesicles secreted by cells-present new opportunities for molecular diagnosis from non-invasive liquid biopsies. Single EV protein analysis can be extremely valuable in studying EVs as circulating cancer biomarkers, but it is technically challenging due to weak detection signals associated with limited amounts of epitopes and small surface areas for antibody labeling. Here, a new, simple method that enables multiplexed analyses of EV markers with improved sensitivities is reported. Specifically, plasmon-enhanced fluorescence detection is implemented that amplifies fluorescence signals using surface plasmon resonances excited by periodic gold nanohole structures. It is shown that fluorescence signals in multiple channels are amplified by one order of magnitude, and both transmembrane and intravesicular markers can be detected at the single EV level. This approach can offer additional insight into understanding subtypes, heterogeneity, and production dynamics of EVs during disease development and progression.

Matched MeSH terms: Neoplasms/diagnosis
Fulltext Inpatient Case-mix Cost Vs Average Cost for Health Care Services in King Fahd Central Hospital, Saudi Arabia: A Comparative Study

Mehmood A, Ahmed Z, Ghilan K, Damad A, Azeez FK

Inquiry, 2021 11 20;58:469580211056060.
PMID: 34796754 DOI: 10.1177/00469580211056060

Health care systems aim to deliver high-quality medical care while considering efficient resource usage and cost-effective forms of interventions. Such purposes require scientific tools or mechanisms which aid in cost assessment before the efforts of cost reduction are considered. Diagnosis-related groups based costing methodology (Case-mix) is considered one of the preferred costing approaches in the health care sector. King Fahd Central hospital Jazan, the only tertiary hospital in the Jazan region, was selected for case-mix system-based patient-level costing of health services. The study's objective was to estimate the cost per Diagnosis-Related Group (DRG) per inpatient admission and compare it with the already established average cost of health care services for inpatients. We applied a cross-sectional retrospective approach to categorize the inpatients based on their diagnosis and procedures and then estimate the actual cost of health care services provided to inpatients during 2018 and compared it with the average cost of the health services. There was a considerable difference between DRG-based costing (SAR 269,663,897) and average costing (SAR 247,035,938). The Diagnosis Related Group costing was found to be more reliable and representative of the services provided to the patients and is recommended to be used for reimbursement purposes.

Matched MeSH terms: Diagnosis-Related Groups*
Esophageal stricture as a late complication of Stevens-Johnson syndrome

Tan YM, Goh KL

Gastrointest Endosc, 1999 Oct;50(4):566-8.
PMID: 10502184
Matched MeSH terms: Esophageal Stenosis/diagnosis
The Potential Role of miRNAs as Predictive Biomarkers in Neurodevelopmental Disorders

Juvale IIA, Che Has AT

J Mol Neurosci, 2021 Jul;71(7):1338-1355.
PMID: 33774758 DOI: 10.1007/s12031-021-01825-7

Neurodevelopmental disorders are defined as a set of abnormal brain developmental conditions marked by the early childhood onset of cognitive, behavioral, and functional deficits leading to memory and learning problems, emotional instability, and impulsivity. Autism spectrum disorder, attention-deficit/hyperactivity disorder, Tourette syndrome, fragile X syndrome, and Down's syndrome are a few known examples of neurodevelopmental disorders. Although they are relatively common in both developed and developing countries, very little is currently known about their underlying molecular mechanisms. Both genetic and environmental factors are known to increase the risk of neurodevelopmental disorders. Current diagnostic and screening tests for neurodevelopmental disorders are not reliable; hence, individuals with neurodevelopmental disorders are often diagnosed in the later stages. This negatively affects their prognosis and quality of life, prompting the need for a better diagnostic biomarker. Recent studies on microRNAs and their altered regulation in diseases have shed some light on the possible role they could play in the development of the central nervous system. This review attempts to elucidate our current understanding of the role that microRNAs play in neurodevelopmental disorders with the hope of utilizing them as potential biomarkers in the future.

Matched MeSH terms: Autism Spectrum Disorder/diagnosis; Attention Deficit Disorder with Hyperactivity/diagnosis; Down Syndrome/diagnosis; Fragile X Syndrome/diagnosis; Tourette Syndrome/diagnosis; Early Diagnosis; Neurodevelopmental Disorders/diagnosis*
Engineered Mycobacterium tuberculosis antigen assembly into core-shell nanobeads for diagnosis of tuberculosis

Sheffee NS, Rubio-Reyes P, Mirabal M, Calero R, Carrillo-Calvet H, Chen S, et al.

Nanomedicine, 2021 06;34:102374.
PMID: 33675981 DOI: 10.1016/j.nano.2021.102374

Despite recent advances in diagnosis, tuberculosis (TB) remains one of the ten leading causes of death worldwide. Here, we engineered Mycobacterium tuberculosis (Mtb) proteins (ESAT6, CFP10, and MTB7.7) to self-assemble into core-shell nanobeads for enhanced TB diagnosis. Respective purified Mtb antigen-coated polyester beads were characterized and their functionality in TB diagnosis was tested in whole blood cytokine release assays. Sensitivity and specificity were studied in 11 pulmonary TB patients (PTB) and 26 healthy individuals composed of 14 Tuberculin Skin Test negative (TSTn) and 12 TST positive (TSTp). The production of 6 cytokines was determined (IFNγ, IP10, IL2, TNFα, CCL3, and CCL11). To differentiate PTB from healthy individuals (TSTp + TSTn), the best individual cytokines were IL2 and CCL11 (>80% sensitivity and specificity) and the best combination was IP10 + IL2 (>90% sensitivity and specificity). We describe an innovative approach using full-length antigens attached to biopolyester nanobeads enabling sensitive and specific detection of human TB.

Matched MeSH terms: Tuberculosis, Pulmonary/diagnosis*
Can smoking cessation interventions reduce disease activity in persons with chronic autoimmune inflammatory diseases? A Cochrane Review summary with commentary

Patrick Engkasan J

Int J Rheum Dis, 2020 Aug;23(8):1104-1106.
PMID: 32525275 DOI: 10.1111/1756-185X.13878
Matched MeSH terms: Autoimmune Diseases/diagnosis

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