Association between lung function and dyspnoea and its variation in the multinational Burden of Obstructive Lung Disease (BOLD) study

BACKGROUND

Dyspnoea is a common symptom of respiratory disease. However, data on its prevalence in general populations and its association with lung function are limited and are mainly from high-income countries. The aims of this study were to estimate the prevalence of dyspnoea across several world regions, and to investigate the association of dyspnoea with lung function.

METHODS

Dyspnoea was assessed, and lung function measured in 25,806 adult participants of the multinational Burden of Obstructive Lung Disease study. Dyspnoea was defined as ≥2 on the modified Medical Research Council (mMRC) dyspnoea scale. The prevalence of dyspnoea was estimated for each of the study sites and compared across countries and world regions. Multivariable logistic regression was used to assess the association of dyspnoea with lung function in each site. Results were then pooled using random-effects meta-analysis.

RESULTS

The prevalence of dyspnoea varied widely across sites without a clear geographical pattern. The mean prevalence of dyspnoea was 13.7 % (SD=8.2 %), ranging from 0 % in Mysore (India) to 28.8 % in Nampicuan-Talugtug (Philippines). Dyspnoea was strongly associated with both spirometry restriction (FVC

CONCLUSION

The prevalence of dyspnoea varies substantially across the world and is strongly associated with lung function impairment. Using the mMRC scale in epidemiological research should be discussed.

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Key Words

• Breathlessness
• Dyspnoea
• Lung function
• Spirometry

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Affiliation(s)

A Müller Ludwig Boltzmann Institute for Lung Health, Vienna, Austria; Care and Public Health Research Institute, Faculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
E F Wouters Ludwig Boltzmann Institute for Lung Health, Vienna, Austria; Sigmund Freud University, Faculty of Medicine, Vienna, Austria; Department of Respiratory Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
P Koul Department of Pulmonary Medicine, Sheri Kashmir Institute of Medical Sciences, Srinagar, India
T Welte Department of Respiratory Medicine/Infectious Disease, Member of the German Centre for Lung Research, Hannover School of Medicine, Hannover, Germany
I Harrabi Faculté de Médecine, Sousse, Tunisia
A Rashid RCSI and UCD Malaysia Campus, Penang, Malaysia
L C Loh RUMC, Penang, Malaysia
M Al Ghobain King Abdullah International Medical Research Center, King Saud ben Abdulaziz University for Health Science, Riyadh, Saudi Arabia
A Elsony The Epidemiological Laboratory, Khartoum, Sudan
R Ahmed The Epidemiological Laboratory, Khartoum, Sudan
J Potts National Heart and Lung Institute, Imperial College London, London, UK
K Mortimer University of Cambridge, Cambridge, UK; Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
F Rodrigues Pulmonology Department, Lisbon North Hospital Centre, Lisbon, Portugal; Institute of Environmental Health, Associate Laboratory TERRA, Lisbon Medical School, Lisbon University, Lisbon, Portugal
S N Paraguas Philippine College of Chest Physicians, Manila, Philippines
S Juvekar KEM Hospital Research Centre, Pune, India
D Agarwal KEM Hospital Research Centre, Pune, India
D Obaseki Department of Medicine, Obafemi Awolowo University, Nigeria; Faculty of Medicine, University of British Columbia, Canada
T Gislason Faculty of Medicine, University of Iceland, Reykjavik, Iceland; Department of Sleep, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
T Seemungal Faculty of Medical Sciences, University of West Indies, St Augustine, Trinidad and Tobago
A A Nafees Aga Khan University, Karachi, Pakistan
C Jenkins Woolcock Institute of Medical Research, Sydney, Australia
H B Dias Escola Superior de Tecnologia da Saúde de Lisboa, Politecnico de Lisboa, Lisbon, Portugal
F M E Franssen Department of Respiratory Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Research and Development, Ciro, Horn, the Netherlands
M Studnicka Department of Pulmonary Medicine, Paracelsus Medical University, Salzburg, Austria
C Janson Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
H H Cherkaski Faculty of Medicine, University Badji Mokhtar, Annaba, Algeria
M El Biaze Department of Respiratory Medicine, Faculty of Medicine, Mohammed Ben Abdellah University, Fes, Morocco
P A Mahesh Department of Respiratory Medicine, JSS Medical College and Hospital, Mysore, Karnataka, India
J Cardoso Pulmonology Department, Centro Hospitalar Universitário de Lisboa Central, Lisboa, Portugal; NOVA Medical School, Nova University Lisbon, Lisboa, Portugal
P Burney National Heart and Lung Institute, Imperial College London, London, UK
S Hartl Ludwig Boltzmann Institute for Lung Health, Vienna, Austria; Sigmund Freud University, Faculty of Medicine, Vienna, Austria
D J A Janssen Care and Public Health Research Institute, Faculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands; Department of Research and Development, Ciro, Horn, the Netherlands
A F S Amaral National Heart and Lung Institute, Imperial College London, London, UK; NIHR Imperial Biomedical Research Centre, London, UK

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Difficulties in Emotion Regulation and Problematic Pornography Use: The Mediating Role of Loneliness

Objectives

To analyze the association between difficulties in emotion regulation and problematic pornography use (PPU) and test the mediating effect of loneliness.

Methods

All 339 participants (M = 28.53 years, SD = 10.32) completed online self-report scales assessing difficulties in emotion regulation, PPU, and loneliness.

Results

Difficulties in emotion regulation are positively correlated with PPU. Loneliness partially mediates the relationship between difficulties in emotion regulation and PPU. Gender and intimate relationship status had moderating effects on the tested mediation model.

Conclusions

Greater difficulties in emotion regulation have a significant indirect effect on PPU through loneliness.

AI vs FRCR: What it means for the future

A recent work by Shelmerdine et al. was published in the Christmas edition of the BMJ. The authors were inspired by George Hinton's statement that artificial intelligence (AI) would supersede radiologists, and ventured to investigate whether the AI software Milvue Suite which had been trained on a few hundred thousand chest and musculoskeletal x-rays, could pass the rapid reporting section of the FRCR - an exam which must be passed in order to practice as a consultant radiologist in the UK. This brief comment sums up the company's opinions and perspective from the practical AI developmental angle and also its translation into a commercially viable and clinically useful tool. Hoping this will provide a fair and balanced view of the role of AI in radiology.

SUBUNGUAL HEMATOMA OVERLAPPING WITH SUBUNGUAL LOCATED FOCAL MELANOCYTIC HYPERPLASIA: DERMATOSURGICAL APPROACH AS OPTIMAL TREATMENT CHOICE

Subungual lesions present a serious challenge for clinicians. The following factors can cause certain problems in interpreting the data: 1) Changes in lesion morphology over time: It may indicate the presence of a malignant lesion (increased pigmentation over time and lack of distal growth) but may actually be a benign lesion (chronic persistent subungual hematoma). 2) Patient's medical history can be misleading or difficult to verify, especially in problematic patients, or those with mental health problems or communication disorders (e.g., Asperger's syndrome, autism, schizoid psychosis, etc.). 3) The morphology of the lesion itself can be difficult to determine in the presence of simultaneously overlapping lesions. These patient dilemmas primarily concern the differentiation between subungual hematomas from subungual melanomas. The clinicians's concerns are based on the potential for metastasis and the risk of significantly worse prognosis for patients affected by nail biopsy. We present a 19-year-old patient with a subungual pigmented lesion with a clinical/dermatoscopic suspicion for subungual melanoma. Primary complaints for about 3-4 months. Intensified pigmentation and increase in size within two months led to a partial surgical resection of the nail plate and nail bed, followed by adaptation of the wound edges with single interrupted sutures. The histopathological finding was indicative of a subungual hematoma located above a focal melanocytic hyperplasia of the nail bed, clear resection lines. After a literature review, we believe that this is the first case of a patient with simultaneously present subungual benign focal melanocytic hyperplasia overlapping with a chronic persistent subungual hematoma.

CONGRESS REPORT OF THE 5TH NATIONAL CONGRESS OF THE BULGARIAN SOCIETY FOR DERMATOLOGIC SURGERY, SOFIA, 11TH MARCH 2023 WITH MAIN TOPICS: NITROSAMINES AS MOST POWERFUL TRIGGER FOR SKIN CANCER DEVELOPMENT AND PROGRESSION/PERSONALISED ONE STEP MELANOMA SURGERY AS POSSIBLE SKIN CANCER TREATMENT OPTION

Deciphering the mutational pattern of skin tumours, remains a major challenge for clinicians and researchers. Over 80% of mutations in tumours are acquired, which in practice also means preventable. The surgical treatment of skin cancer and cancer in general is a worldwide, unsolved but at the same time not unsolvable problem. The problem concerning the dilemma of acquired mutations lies in the circumstance of their being allowed and subsequently treated. A more logical solution would be to eliminate the problem by making contact with mutagens in drugs public, clarifying it, studying it in detail and definitively stopping it. At present, there is an alarming and unexplained tendency worldwide : 1) Potential acquired mutations, caused in all probability by contact with known exogenous mutagens- the nitrosamines in most commonly prescribed drugs, are allowed to occur. 2) And subsequently, the diseases generated by them- treated (at a later stage) by multiple surgical interventions and unjustifiably expensive targeted therapy; 3) Mutagens - such as nitrosamines for example, to be in a permissive or possibly permissive availability regime. Moreover, this permissible availability turns out to be ubiquitous and affects the most common medicines worldwide: metformin, ranitidine, propranolol, rifampicin, irbesartan, olmesartan, valsartan, telmisartan, eprosartan, losartan, ACE inhibitors, thiazide diuretics, etc. In certain geographical regions, there is almost no patient taking this type of medication who has not had at least one tumour detected. These significant correlations (nitrosamines/cancer) are labeled by the regulatory institutions as possible, probable, or not currently relevant. But in spite of ˝this inconclusiveness˝, the drugs, containing nitrosamines, are withdrawn from the pharmaceutical market: quickly and quietly, despite the fact that ˝they did not pose a threat˝. The FDA was the only organization and the most important regulatory body worldwide, which lifted the veil from this ominous picture back in 2018: nitrosamines in blood medicines and cancer risk. Unfortunately, at the moment, the problems with this issue are proving to be more than the solutions, and at the same time it remains completely unclear who is to blame for this 'sporadic contamination': the packaging of the drug, the humidity in the rooms where the preparations are stored or the synthesis process itself - the explanations are divergent, the responsibility is blurred. This fuzzy liability does not affect the manufacturers and distributors of the preparations/nitrosamines themselves in the manner required by law for this (mis)act. The Bulgarian Society of Dermatological Surgery remains to be the only organization worldwide that for the 5th consecutive year continues to seek solutions to the above-mentioned problems by: 1) Officialising all cases of skin tumors (but not only) occurring after intake of nitrosamine-contaminated drugs, 2) also officialising a significant number of cases of patients with cutaneous melanomas treated by the one-stage surgical removal method within one surgical session (OSMS). The main priorities of the organization remain: 1) the complete elimination of nitrosamines from drugs worldwide, 2) the optimization of melanoma surgical treatment guidelines with the goal of treatment within 1 surgical session: for thin melanomas, dysplastic nevi and melanoma in situ, a surgical margin of safety of 1 cm in all directions and without detection and removal of the draining sentinel lymph node. Whereas for medium and thick melanomas, the focus should be directed to the following recommendation: 2 cm surgical margin of safety plus detection and removal of the draining lymph node within one surgical session. The indication for the surgical removal of these lesions should be made on the basis of radically different criteria from those used to date by the AJCC/EJC, namely: based on 1) clinical presentation/ clinical morphology, 2) dermatoscopic finding, and if there is a melanoma suspected lesion with possible tumour thickness greater than 1 mm , 3) ultrasonographic measurement for preoperative determination of tumor thickness should be additionally performed. The methodology is applicable in up to 80% of cases, excluding only some rare findings such as: amelanotic cutaneous melanomas, cutaneous melanomas with regression zones or those with localization in the neck and head. However, after careful individual assessment and a subsequent selected approach, even these exceptions could be included in the innovative algorithm for one step surgical removal of cutaneous melanomas. The resulting problems of not resolving these two dilemmas could lead to: 1) Generation of skin cancer (but not only), through the availability of nitrosamines in drugs. 2) Unnecessary and stressful /surgeries for the patients- 2 in number, which not infrequently lead to complication of their status (due to delay of histopathological analysis/ desire for second opinion/ delay regarding the timeframe for the second surgical intervention/ uncertainty regarding the resection lines within the first intervention/ failure to respect the recommended surgical security resection margins already within the first surgical session, etc.). 3) Huge additional costs to health care systems on the order of probably/roughly calculated about $50 billion per year. Resolution of these two dilemmas would likely result in a dramatic drop in cancer incidence worldwide and a significant improvement in the effectiveness/efficiency of surgical treatment for cutaneous melanoma.

The Liver Tumor Segmentation Benchmark (LiTS)

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017 and 2018. The image dataset is diverse and contains primary and secondary tumors with varied sizes and appearances with various lesion-to-background levels (hyper-/hypo-dense), created in collaboration with seven hospitals and research institutions. Seventy-five submitted liver and liver tumor segmentation algorithms were trained on a set of 131 computed tomography (CT) volumes and were tested on 70 unseen test images acquired from different patients. We found that not a single algorithm performed best for both liver and liver tumors in the three events. The best liver segmentation algorithm achieved a Dice score of 0.963, whereas, for tumor segmentation, the best algorithms achieved Dices scores of 0.674 (ISBI 2017), 0.702 (MICCAI 2017), and 0.739 (MICCAI 2018). Retrospectively, we performed additional analysis on liver tumor detection and revealed that not all top-performing segmentation algorithms worked well for tumor detection. The best liver tumor detection method achieved a lesion-wise recall of 0.458 (ISBI 2017), 0.515 (MICCAI 2017), and 0.554 (MICCAI 2018), indicating the need for further research. LiTS remains an active benchmark and resource for research, e.g., contributing the liver-related segmentation tasks in http://medicaldecathlon.com/. In addition, both data and online evaluation are accessible via https://competitions.codalab.org/competitions/17094.

Predicting mortality in acutely hospitalised older patients: the impact of model dimensionality

BACKGROUND

The prediction of long-term mortality following acute illness can be unreliable for older patients, inhibiting the delivery of targeted clinical interventions. The difficulty plausibly arises from the complex, multifactorial nature of the underlying biology in this population, which flexible, multimodal models based on machine learning may overcome. Here, we test this hypothesis by quantifying the comparative predictive fidelity of such models in a large consecutive sample of older patients acutely admitted to hospital and characterise their biological support.

METHODS

A set of 804 admission episodes involving 616 unique patients with a mean age of 84.5 years consecutively admitted to the Acute Geriatric service at University College Hospital were identified, in whom clinical diagnoses, blood tests, cognitive status, computed tomography of the head, and mortality within 600 days after admission were available. We trained and evaluated out-of-sample an array of extreme gradient boosted trees-based predictive models of incrementally greater numbers of investigational modalities and modelled features. Both linear and non-linear associations with investigational features were quantified.

RESULTS

Predictive models of mortality showed progressively increasing fidelity with greater numbers of modelled modalities and dimensions. The area under the receiver operating characteristic curve rose from 0.67 (sd = 0.078) for age and sex to 0.874 (sd = 0.046) for the most comprehensive model. Extracranial bone and soft tissue features contributed more than intracranial features towards long-term mortality prediction. The anterior cingulate and angular gyri, and serum albumin, were the greatest intracranial and biochemical model contributors respectively.

CONCLUSIONS

High-dimensional, multimodal predictive models of mortality based on routine clinical data offer higher predictive fidelity than simpler models, facilitating individual level prognostication and interventional targeting. The joint contributions of both extracranial and intracranial features highlight the potential importance of optimising somatic as well as neural functions in healthy ageing. Our findings suggest a promising path towards a high-fidelity, multimodal index of frailty.

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

Domain Adaptation (DA) has recently been of strong interest in the medical imaging community. While a large variety of DA techniques have been proposed for image segmentation, most of these techniques have been validated either on private datasets or on small publicly available datasets. Moreover, these datasets mostly addressed single-class problems. To tackle these limitations, the Cross-Modality Domain Adaptation (crossMoDA) challenge was organised in conjunction with the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). CrossMoDA is the first large and multi-class benchmark for unsupervised cross-modality Domain Adaptation. The goal of the challenge is to segment two key brain structures involved in the follow-up and treatment planning of vestibular schwannoma (VS): the VS and the cochleas. Currently, the diagnosis and surveillance in patients with VS are commonly performed using contrast-enhanced T1 (ceT₁) MR imaging. However, there is growing interest in using non-contrast imaging sequences such as high-resolution T2 (hrT₂) imaging. For this reason, we established an unsupervised cross-modality segmentation benchmark. The training dataset provides annotated ceT₁ scans (N=105) and unpaired non-annotated hrT₂ scans (N=105). The aim was to automatically perform unilateral VS and bilateral cochlea segmentation on hrT₂ scans as provided in the testing set (N=137). This problem is particularly challenging given the large intensity distribution gap across the modalities and the small volume of the structures. A total of 55 teams from 16 countries submitted predictions to the validation leaderboard. Among them, 16 teams from 9 different countries submitted their algorithm for the evaluation phase. The level of performance reached by the top-performing teams is strikingly high (best median Dice score - VS: 88.4%; Cochleas: 85.7%) and close to full supervision (median Dice score - VS: 92.5%; Cochleas: 87.7%). All top-performing methods made use of an image-to-image translation approach to transform the source-domain images into pseudo-target-domain images. A segmentation network was then trained using these generated images and the manual annotations provided for the source image.

Early aortic valve replacement in asymptomatic severe aortic stenosis with preserved ejection fraction

Background

Aortic stenosis (AS) is the most common valvular disease in developed countries. Specific timing of intervention for asymptomatic patients with severe aortic stenosis and preserved ejection fraction remains controversial.

Purpose

To compare the outcomes of early aortic valve replacement (AVR) versus watchful waiting (WW) in asymptomatic AS patients with preserved ejection.

Methods

We systematically searched PubMed, Embase and Cochrane databases, in November 2021, for both interventional or observational studies comparing early-AVR with WW in the treatment of asymptomatic severeAS with preserved ejection fraction criteria. Random-effects meta-analysis was performed.

Results

Eight studies were included in which two were randomized clinical trials. A total of 2672 patients were included, providing a 642 pooled death events (327 in early-AVR and 941 in watchful waiting). In our meta-analysis, early-AVR revealed a significant lower all-cause mortality (pooled OR, 0.39; 95% CI [0.30, 0.51], P<0.01; I2=47%). Additionally, the early-AVR group presented a lower rate of cardiovascular mortality (pooled OR, 0.33; 95% CI [0.19, 0.56], P<0.01; I2=64%). Both strategies had similar rate of stroke (pooled OR, 1.30; 95% CI [0.39, 4.27], P=0.67; I2=0%) and myocardial infarction (pooled OR, 0.49; 95% CI [0.14, 1.78], P=0.28; I2=0%). Heart Failure hospitalizations presented a lower trend early-AVR group (pooled OR, 0.22; 95% CI [0.05, 1.08], P=0.36; I2=36%).

Conclusion

Our pooled data suggests that early-AVR strategy is preferable for asymptomatic severe AS patients with preserved ejection fraction.

Funding Acknowledgement

Type of funding sources: None.

Early intervention versus conservative management of asymptomatic severe aortic stenosis: a systematic review and meta-analysis

Background

Aortic stenosis (AS) is the most common valvular disease in developed countries. However, the specific timing of intervention for asymptomatic patients with severe AS remains controversial.

Purpose

To compare the outcomes of early aortic valve replacement (AVR) versus watchful waiting (WW) in asymptomatic patients with AS.

Methods

We systematically searched PubMed, Embase and Cochrane databases, in December 2021, for both interventional or observational studies comparing early AVR with WW in the treatment of asymptomatic severe AS. Random-effects meta-analysis was performed.

Results

Thirteen studies were included in which two were randomised clinical trials. A total of 4,679 patients were included, providing a 1,268 pooled death events (327 in early AVR and 941 in WW). Our meta-analysis showed a significantly lower all-cause mortality for the early-AVR compared with WW group, although with a moderate amount of heterogeneity between studies in the magnitude of the effect (pooled odds ratio [OR], 0.41; 95% confidence interval [CI] 0.34, 0.50, P<0.01; I2=60%). An early surgery strategy displayed a significantly lower cardiovascular mortality (pooled OR, 0.33; 95% CI [0.19, 0.56], P<0.01; I 2=64%) and heart failure hospitalisations (pooled OR 0.19; 95% CI [0.10, 0.39], P<0.01, I2=7%). However, both groups had similar rates of stroke (pooled OR 1.30; 95% CI [0.73, 2.29], P=0.36, I2=0%) and myocardial infarction (pooled OR 0.49; 95% CI [0.19, 1.27], P=0.14, I2=0%).

Conclusions

Our pooled data suggest that an early-AVR strategy is preferable for asymptomatic patients with severe AS.

Funding Acknowledgement

Type of funding sources: None.

Concomitant tricuspid repair in mitral regurgitation surgery: a systematic review and meta-analysis

Background

Tricuspid Regurgitation (TR) is common in patients with severe mitral disease. However, the evidence is insufficient to inform a decision about whether to perform prophylactic tricuspid-valve repair during mitral-valve surgery in patients who have moderate TR or less-than-moderate regurgitation.

Purpose

To compare the outcomes of concomitant tricuspid repair in mitral valve surgery versus no concomitant tricuspid repair in less-than-severe TR patients.

Methods

We systematically searched PubMed, Embase and Cochrane databases, in December 2021, for interventional studies comparing concomitant tricuspid repair in mitral valve surgery versus no tricuspid intervention. Random-effects meta-analysis was performed.

Results

Four randomised trials were included, providing a total of 651 patients (323 in prophylactic tricuspid intervention group and 328 patients in conservative group). Our meta-analysis showed a similar all-cause mortality for concomitant prophylactic tricuspid repair compared with no tricuspid intervention (pooled OR, 0.54; 95% CI [0.25, 1.15], P=0.11; I2=0%). Additionally, there is a similar New York Heart Association (NYHA) III–IV classes in both groups, despite a lower trend in the tricuspid intervention group (pooled OR, 0.63; 95% CI [0.38, 1.06], P=0.08; I2=0%) (Figure 3). However, there was a significant lower progression of TR (pooled OR, 0.06; 95% CI [0.02, 0.24], P<0.01; I2=0%) and moderate-severe TR (pooled OR, 0.23; 95% CI [0.11, 0.46], P<0.01; I2=27%).

Conclusions

Our pooled analysis suggests that a tricuspid-valve repair at the time of mitral-valve surgery in patients with moderate or less-than-moderate TR does not impact perioperative or postoperative all-cause mortality, despite reducing TR severity and progression of TR following intervention.

Funding Acknowledgement

Type of funding sources: None.

Informative and Reliable Tract Segmentation for Preoperative Planning

Identifying white matter (WM) tracts to locate eloquent areas for preoperative surgical planning is a challenging task. Manual WM tract annotations are often used but they are time-consuming, suffer from inter- and intra-rater variability, and noise intrinsic to diffusion MRI may make manual interpretation difficult. As a result, in clinical practice direct electrical stimulation is necessary to precisely locate WM tracts during surgery. A measure of WM tract segmentation unreliability could be important to guide surgical planning and operations. In this study, we use deep learning to perform reliable tract segmentation in combination with uncertainty quantification to measure segmentation unreliability. We use a 3D U-Net to segment white matter tracts. We then estimate model and data uncertainty using test time dropout and test time augmentation, respectively. We use a volume-based calibration approach to compute representative predicted probabilities from the estimated uncertainties. In our findings, we obtain a Dice of ≈0.82 which is comparable to the state-of-the-art for multi-label segmentation and Hausdorff distance <10mm. We demonstrate a high positive correlation between volume variance and segmentation errors, which indicates a good measure of reliability for tract segmentation ad uncertainty estimation. Finally, we show that calibrated predicted volumes are more likely to encompass the ground truth segmentation volume than uncalibrated predicted volumes. This study is a step toward more informed and reliable WM tract segmentation for clinical decision-making.

The Difficulties in Emotion Regulation Scale - Short Form (DERS-SF): psychometric properties and invariance between genders

Background

The understanding of how individuals manage their emotional experiences has flourished dramatically over the last decades, including assessing of emotion (dys)regulation. The Difficulties in Emotion Regulation Scale (DERS) is a well-validated and extensively used self-report instrument for emotion regulation problems. Despite the wide use of DERS in both clinical and research settings, its length potentially increases fatigue and frustration in respondents and limits its inclusion in brief research protocols. Consequently, a short-form version of the DERS (DERS-SF) was developed, which requires cross-cultural adaptations and the study of its reliability and validity.

Objectives

In order to address this issue, this study aimed to analyze the factorial structure and psychometric properties of the Portuguese version of DERS-SF and examine the DERS-SF factor structure invariance between men and women.

Methods

The sample comprised 646 participants aged between 18 and 66 years (M = 29.93, SD = 11.71).

Results

The correlated six-factor structure of the original version has an acceptable fit, good reliability, and convergent validity. Our results also suggested the invariance of the factor structure of the DERS-SF across genders.

Conclusion

The DERS-SF has good psychometric properties, and it may be useful for future research and clinical work to use this six-factor brief version and improve emotion regulation assessment.

Predictors of Pornography Use: Difficulties in Emotion Regulation and Loneliness

BACKGROUND

Pleasure-seeking reasons are the main drivers of pornography use (PU), but the regulation of unpleasant states, namely distraction from or suppression of negative emotions and stress relief, are other potential predictors of this behavior.

AIM

Our main objective is to develop an explanatory model of problematic PU, assessing difficulties in emotion regulation, loneliness, perceived stress, as well as age and gender as predictors.

METHODS

A cross-sectional study was conducted that included a total of 340 participants (M = 28.50 years, SD = 10.32). Self-report inventories were administered that measured problematic PU (PPCS), difficulties in emotion regulation (DERS-SF), loneliness (UCLALS-3), and perceived stress (PSS-10).

RESULTS

The findings were indicative of recreational PU, with only a small number of participants (4.6%) reporting a possible problematic PU. There were statistically significant gender differences (F(1,337) = 33.306, P ≤ .001), namely that men were more likely to report problematic PU (M = 36.03, SD = 21.30) than women (M = 25.32, SD = 9.24). Problematic PU was significantly and positively correlated either with difficulties in emotion regulation, loneliness, perceived stress and age. Stepwise multiple linear regression analysis showed that difficulties in emotion regulation (β = 0.259, P ≤ .001), loneliness (β = 0.209, P = .001), and gender (β = -0.377, P ≤ .001) define the best subset of predictors of problematic PU. Age and perceived stress were not selected as predictors in this subset.

CLINICAL TRANSLATION

The promotion of better emotion regulation abilities and strategies for adaptive coping with loneliness must be taken into consideration, namely in cases of problematic PU or compulsive sexual behavior disorder.

STRENGTHS & LIMITATIONS

Being a cross-sectional study with a convenience sample and the fact that these variables explain only a part of the explained variance of the problematic PU are the main limitations. Despite the limitations, the principal contribution of this study is the understanding that gender, difficulties in emotion regulation, and loneliness remain as main predictors of problematic PU, even when combined in the explanatory model.

CONCLUSION

The current study provides a better understanding of the predictors of problematic PU related with the reduction or avoidance of unpleasant states. Emotion regulation, loneliness, and perceived stress, studied simultaneously, provide a better understanding of the complex relationships between these factors and problematic PU. Difficulties in emotion regulation and loneliness are predictors of higher problematic PU, as well as the expected gender effect. Cardoso J, Ramos C, Brito J, et al. Predictors of Pornography Use: Difficulties in Emotion Regulation and Loneliness. J Sex Med 2022;19:620-628.

A Survey of AIOps Methods for Failure Management

Modern society is increasingly moving toward complex and distributed computing systems. The increase in scale and complexity of these systems challenges O&M teams that perform daily monitoring and repair operations, in contrast with the increasing demand for reliability and scalability of modern applications. For this reason, the study of automated and intelligent monitoring systems has recently sparked much interest across applied IT industry and academia. Artificial Intelligence for IT Operations (AIOps) has been proposed to tackle modern IT administration challenges thanks to Machine Learning, AI, and Big Data. However, AIOps as a research topic is still largely unstructured and unexplored, due to missing conventions in categorizing contributions for their data requirements, target goals, and components. In this work, we focus on AIOps for Failure Management (FM), characterizing and describing 5 different categories and 14 subcategories of contributions, based on their time intervention window and the target problem being solved. We review 100 FM solutions, focusing on applicability requirements and the quantitative results achieved, to facilitate an effective application of AIOps solutions. Finally, we discuss current development problems in the areas covered by AIOps and delineate possible future trends for AI-based failure management.

The psychological determinants of internet gaming disorder: Vulnerability to stress, psychological well-being, and comorbidity

Introduction

A variety of psychological determinants, such as vulnerability to stress, low levels of psychological well-being and several comorbidities, have been hypothesized to play a role in the development, and maintenance of Internet Gaming Disorder (IGD). However, evidence has been insufficient to sustain an overarching model of the causal pathways leading to IGD.

Objectives

. This study aimed to depict a model of the causal links between vulnerability to stress, psychological well-being, and symptoms of common mental disorders (e.g., depression, generalized anxiety, phobic anxiety, obsessive-compulsive disorder, somatization, and hostility).

Methods

. A community-based sample of Portuguese gamers (N = 153; Mage = 21.92; 15.29% female) completed measures of IGD (IGDS9-SF), mental health (SCL-90-R), psychological well-being (EBEP), and vulnerability to stress (23QVS). A machine learning algorithm – Greedy Fast Causal Inference – was used to infer a model of the causal pathways linking those psychological determinants to IGD.

Results

. Hostility and psychological well-being were directly involved with a subgroup of IGD symptoms (i.e., gaming used as escape, tolerance, withdrawal, and loss of control). Stress vulnerability and symptoms of mental disorders were only indirectly implicated in the causal pathways leading to IGD.

Conclusions

. It is likely that several psychological factors implicated in the causal pathways leading to IGD, have not been yet identified. Future research should directly test specific models of the causal pathways involved in the development and maintenance of IGD symptoms.

Disclosure

No significant relationships.

A population-based study of head injury, cognitive function and pathological markers

Objective

To assess associations between head injury (HI) with loss of consciousness (LOC), ageing and markers of later‐life cerebral pathology; and to explore whether those effects may help explain subtle cognitive deficits in dementia‐free individuals.

Methods

Participants (n = 502, age = 69–71) from the 1946 British Birth Cohort underwent cognitive testing (subtests of Preclinical Alzheimer Cognitive Composite), ¹⁸F‐florbetapir Aβ‐PET and MR imaging. Measures include Aβ‐PET status, brain, hippocampal and white matter hyperintensity (WMH) volumes, normal appearing white matter (NAWM) microstructure, Alzheimer’s disease (AD)‐related cortical thickness, and serum neurofilament light chain (NFL). LOC HI metrics include HI occurring: (i) >15 years prior to the scan (ii) anytime up to age 71.

Results

Compared to those with no evidence of an LOC HI, only those reporting an LOC HI>15 years prior (16%, n = 80) performed worse on cognitive tests at age 69–71, taking into account premorbid cognition, particularly on the digit‐symbol substitution test (DSST). Smaller brain volume (BV) and adverse NAWM microstructural integrity explained 30% and 16% of the relationship between HI and DSST, respectively. We found no evidence that LOC HI was associated with Aβ load, hippocampal volume, WMH volume, AD‐related cortical thickness or NFL (all p > 0.01).

Interpretation

Having a LOC HI aged 50’s and younger was linked with lower later‐life cognitive function at age ~70 than expected. This may reflect a damaging but small impact of HI; explained in part by smaller BV and different microstructure pathways but not via pathology related to AD (amyloid, hippocampal volume, AD cortical thickness) or ongoing neurodegeneration (serum NFL).

Preliminary Minimum Reporting Requirements for In-Vivo Neural Interface Research: I. Implantable Neural Interfaces

The pace of research and development in neuroscience, neurotechnology, and neurorehabilitation is rapidly accelerating, with the number of publications doubling every 4.2 years. Maintaining this progress requires technological standards and scientific reporting guidelines to provide frameworks for communication and interoperability. The present lack of such neurotechnology standards limits the transparency, repro-ducibility, and meta-analysis of this growing body of literature, posing an ongoing barrier to research, clinical, and commercial objectives. Continued neurotechnological innovation requires the development of some minimal standards to promote integration between this broad spectrum of technologies and therapies. To preserve design freedom and accelerate the translation of research into safe and effective technologies with maximal user benefit, such standards must be collaboratively co-developed by the full range of neuroscience and neurotechnology stakeholders. This paper summarizes the preliminary recommendations of IEEE P2794 Standards Working Group, developing a Reporting Standard for in-vivo Neural Interface Research (RSNIR).

A Position Statement on the Utility of Interval Imaging in Standard of Care Brain Tumour Management: Defining the Evidence Gap and Opportunities for Future Research

Objectiv e

To summarise current evidence for the utility of interval imaging in monitoring disease in adult brain tumours, and to develop a position for future evidence gathering while incorporating the application of data science and health economics.

Methods

Experts in 'interval imaging' (imaging at pre-planned time-points to assess tumour status); data science; health economics, trial management of adult brain tumours, and patient representatives convened in London, UK. The current evidence on the use of interval imaging for monitoring brain tumours was reviewed. To improve the evidence that interval imaging has a role in disease management, we discussed specific themes of data science, health economics, statistical considerations, patient and carer perspectives, and multi-centre study design. Suggestions for future studies aimed at filling knowledge gaps were discussed.

Results

Meningioma and glioma were identified as priorities for interval imaging utility analysis. The "monitoring biomarkers" most commonly used in adult brain tumour patients were standard structural MRI features. Interval imaging was commonly scheduled to provide reported imaging prior to planned, regular clinic visits. There is limited evidence relating interval imaging in the absence of clinical deterioration to management change that alters morbidity, mortality, quality of life, or resource use. Progression-free survival is confounded as an outcome measure when using structural MRI in glioma. Uncertainty from imaging causes distress for some patients and their caregivers, while for others it provides an important indicator of disease activity. Any study design that changes imaging regimens should consider the potential for influencing current or planned therapeutic trials, ensure that opportunity costs are measured, and capture indirect benefits and added value.

Conclusion

Evidence for the value, and therefore utility, of regular interval imaging is currently lacking. Ongoing collaborative efforts will improve trial design and generate the evidence to optimise monitoring imaging biomarkers in standard of care brain tumour management.

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets

Brain tissue segmentation from multimodal MRI is a key building block of many neuroimaging analysis pipelines. Established tissue segmentation approaches have, however, not been developed to cope with large anatomical changes resulting from pathology, such as white matter lesions or tumours, and often fail in these cases. In the meantime, with the advent of deep neural networks (DNNs), segmentation of brain lesions has matured significantly. However, few existing approaches allow for the joint segmentation of normal tissue and brain lesions. Developing a DNN for such a joint task is currently hampered by the fact that annotated datasets typically address only one specific task and rely on task-specific imaging protocols including a task-specific set of imaging modalities. In this work, we propose a novel approach to build a joint tissue and lesion segmentation model from aggregated task-specific hetero-modal domain-shifted and partially-annotated datasets. Starting from a variational formulation of the joint problem, we show how the expected risk can be decomposed and optimised empirically. We exploit an upper bound of the risk to deal with heterogeneous imaging modalities across datasets. To deal with potential domain shift, we integrated and tested three conventional techniques based on data augmentation, adversarial learning and pseudo-healthy generation. For each individual task, our joint approach reaches comparable performance to task-specific and fully-supervised models. The proposed framework is assessed on two different types of brain lesions: White matter lesions and gliomas. In the latter case, lacking a joint ground-truth for quantitative assessment purposes, we propose and use a novel clinically-relevant qualitative assessment methodology.

Predicting Sexual Offenders' Specialization/Versatility: The Role of Impulsivity and Moral Reasoning

The main purpose of this exploratory study was to examine the predictive ability of impulsivity and moral reasoning on offending specialization/versatility. The latter was measured using the diversity index which calculates the amount of variation within an individual's criminal history. The sample consisted of 88 individuals convicted of sexual offenses incarcerated in a Portuguese prison. Group comparisons and multiple linear regression analyses on untransformed and corrected versions of the diversity index were conducted. Overall, the different versions of the diversity index presented disparate results. Individuals were found to be generally alike, but those convicted of rape tended to be more versatile than those who molested extrafamilial children. Moral reasoning was the strongest predictor of offending specialization/versatility, while impulsivity was mostly not statistically significant. A better understanding of these predictors' roles on offending specialization/versatility, as it relates to recidivism, is important to tailor successful interventions.

Clinical evaluation of automated quantitative MRI reports for assessment of hippocampal sclerosis

OBJECTIVES

Hippocampal sclerosis (HS) is a common cause of temporal lobe epilepsy. Neuroradiological practice relies on visual assessment, but quantification of HS imaging biomarkers-hippocampal volume loss and T2 elevation-could improve detection. We tested whether quantitative measures, contextualised with normative data, improve rater accuracy and confidence.

METHODS

Quantitative reports (QReports) were generated for 43 individuals with epilepsy (mean age ± SD 40.0 ± 14.8 years, 22 men; 15 histologically unilateral HS; 5 bilateral; 23 MR-negative). Normative data was generated from 111 healthy individuals (age 40.0 ± 12.8 years, 52 men). Nine raters with different experience (neuroradiologists, trainees, and image analysts) assessed subjects' imaging with and without QReports. Raters assigned imaging normal, right, left, or bilateral HS. Confidence was rated on a 5-point scale.

RESULTS

Correct designation (normal/abnormal) was high and showed further trend-level improvement with QReports, from 87.5 to 92.5% (p = 0.07, effect size d = 0.69). Largest magnitude improvement (84.5 to 93.8%) was for image analysts (d = 0.87). For bilateral HS, QReports significantly improved overall accuracy, from 74.4 to 91.1% (p = 0.042, d = 0.7). Agreement with the correct diagnosis (kappa) tended to increase from 0.74 ('fair') to 0.86 ('excellent') with the report (p = 0.06, d = 0.81). Confidence increased when correctly assessing scans with the QReport (p < 0.001, η²_p = 0.945).

CONCLUSIONS

QReports of HS imaging biomarkers can improve rater accuracy and confidence, particularly in challenging bilateral cases. Improvements were seen across all raters, with large effect sizes, greatest for image analysts. These findings may have positive implications for clinical radiology services and justify further validation in larger groups.

KEY POINTS

• Quantification of imaging biomarkers for hippocampal sclerosis-volume loss and raised T2 signal-could improve clinical radiological detection in challenging cases. • Quantitative reports for individual patients, contextualised with normative reference data, improved diagnostic accuracy and confidence in a group of nine raters, in particular for bilateral HS cases. • We present a pre-use clinical validation of an automated imaging assessment tool to assist clinical radiology reporting of hippocampal sclerosis, which improves detection accuracy.

Victim Crossover Index Offending Patterns and Predictors in a Portuguese Sample

Sex offenders who cross over in victims' age, gender and relationship usually have a greater number of victims, which is associated with sexual recidivism. This investigation aimed to examine the prevalence of crossover index offending in Portugal, and to explore the predictive ability of sociodemographic and criminological variables on this outcome. A retrospective sample of 247 male individuals incarcerated for sex offenses in a Portuguese prison was drawn from official records. From those offenders with multiple victims (n = 94), 48% had victims of different age categories, 10% had both gendered victims, and 12% had intrafamilial and extrafamilial victims. Comparative statistics and logistic regressions were able to identify variables that distinguished noncrossover and crossover offenders and that predicted crossover, respectively. While likely underestimates of the prevalence of victim crossover, these findings are compared to previous international studies and provide a better understanding of the phenomenon.

Machine learning and glioma imaging biomarkers

AIM

To review how machine learning (ML) is applied to imaging biomarkers in neuro-oncology, in particular for diagnosis, prognosis, and treatment response monitoring.

MATERIALS AND METHODS

The PubMed and MEDLINE databases were searched for articles published before September 2018 using relevant search terms. The search strategy focused on articles applying ML to high-grade glioma biomarkers for treatment response monitoring, prognosis, and prediction.

RESULTS

Magnetic resonance imaging (MRI) is typically used throughout the patient pathway because routine structural imaging provides detailed anatomical and pathological information and advanced techniques provide additional physiological detail. Using carefully chosen image features, ML is frequently used to allow accurate classification in a variety of scenarios. Rather than being chosen by human selection, ML also enables image features to be identified by an algorithm. Much research is applied to determining molecular profiles, histological tumour grade, and prognosis using MRI images acquired at the time that patients first present with a brain tumour. Differentiating a treatment response from a post-treatment-related effect using imaging is clinically important and also an area of active study (described here in one of two Special Issue publications dedicated to the application of ML in glioma imaging).

CONCLUSION

Although pioneering, most of the evidence is of a low level, having been obtained retrospectively and in single centres. Studies applying ML to build neuro-oncology monitoring biomarker models have yet to show an overall advantage over those using traditional statistical methods. Development and validation of ML models applied to neuro-oncology require large, well-annotated datasets, and therefore multidisciplinary and multi-centre collaborations are necessary.

Erratum: Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis

[This corrects the article DOI: 10.1038/s41746-019-0127-8.].

Portuguese Version of the Cyber Pornography Use Inventory-9: Psychometric Properties and Gender Invariance

We aimed to analyze the factor structure and the psychometric properties of the Portuguese version of the Cyber Pornography Use Inventory-9 (CPUI-9) and to verify the invariance between men and women. A total sample of 257 university students (153 women and 104 men) participated through a web survey. The results of confirmatory factor analysis showed that the three-factor structure of the original version of the CPUI-9 has a good model fit and good convergent and discriminant validities. The findings of the multigroup confirmatory factor analysis demonstrated non-invariance on factor structure across both genders, suggesting that the CPUI-9 should be applied with caution to men and women.

Sexual Dysfunction and Satisfaction in Kidney Transplant Patients

INTRODUCTION

10% of the world's population suffers from chronic kidney disease. Kidney transplants provide an improvement in the quality of life of those patients. Sexual dysfunction is common after kidney transplantation, and its etiology is presumed to be multifactorial. It has a negative impact on sexual satisfaction and health-related quality-of-life. The integration of a new organ into the body can imply an adjustment of body image, which may eventually have a negative influence on intimacy and sexual behaviors.

AIM

To evaluate male sexual function, sexual satisfaction, and body image satisfaction among a convenience sample of patients who have had a kidney transplant.

METHODS

This is a cross-sectional study that included 460 patients, from a single healthcare center, who had undergone a kidney transplant procedure >4 weeks ago. A total of 112 respondents (mean = 55.5 years, SD = 11.4) answered the questionnaires properly.

MAIN OUTCOME MEASURES

All recruited patients answered a self-reported sociodemographic questionnaire, in addition to the International Index of Erectile function, the New Scale of Sexual Satisfaction, the Brief Symptom Inventory, and the Body Image Scale.

RESULTS

A correlation was found between sexual function and sexual satisfaction (r = 0.598, P < .001, n = 112), as well as between body image satisfaction and sexual function (r = -0.193, P = .042, n = 112). The length of time after a kidney transplant (≤ or >36 months) was not associated with a difference in sexual functioning or sexual satisfaction.

CLINICAL IMPLICATIONS

This study showed the obvious implications of sexual function on sexual satisfaction, which should alert healthcare professionals to the importance of identifying and managing sexual dysfunction in patients with chronic kidney disease, to optimize their global and sexual health satisfaction.

STRENGTH & LIMITATIONS

This study identified a high prevalence of sexual dysfunction among kidney transplant recipients. This should reinforce the need for the medical community to evaluate the quality-of-life domains of patients with chronic disease. There is still a lack of information concerning any longitudinal evaluation of kidney transplant patients' sexual function and the effects that this surgery has on sexuality.

CONCLUSIONS

This study corroborated the severe effects that kidney transplant patients often report regarding their sexuality. Among the patients who participated in the study, sexual function proved to be relevant in relation to sexual satisfaction. Mota RL, Fonseca R, Santos JC, et al. Sexual Dysfunction and Satisfaction in Kidney Transplant Patients. J Sex Med 2019;16:1018-1028.

Pornography Use by Sex Offenders at the Time of the Index Offense: Characterization and Predictors

The purpose of this study was to characterize and predict sex offenders' pornography consumption at the time of the index offense. Participants were 146 male sex offenders incarcerated in a Portuguese prison establishment. A semi-structured interview and the Wilson Sex Fantasy Questionnaire were administered. While for some individuals pornography did not appear to play a role in their offenses, there were others whose prolonged use led to more sex fantasies and urges to enact the visualized contents. As pornography does not have the same effects on all people, management officials should bear this in mind when tailoring specific treatment programs.

COPD and Cardiovascular Disease

COPD is one of the major public health problems in people aged 40 years or above. It is currently the 4th leading cause of death in the world and projected to be the 3rd leading cause of death by 2020. COPD and cardiac comorbidities are frequently associated. They share common risk factors, pathophysiological processes, signs and symptoms, and act synergistically as negative prognostic factors. Cardiac disease includes a broad spectrum of entities with distinct pathophysiology, treatment and prognosis. From an epidemiological point of view, patients with COPD are particularly vulnerable to cardiac disease. Indeed, mortality due to cardiac disease in patients with moderate COPD is higher than mortality related to respiratory failure. Guidelines reinforce that the control of comorbidities in COPD has a clear benefit over the potential risk associated with the majority of the drugs utilized. On the other hand, the true survival benefits of aggressive treatment of cardiac disease and COPD in patients with both conditions have still not been clarified. Given their relevance in terms of prevalence and prognosis, we will focus in this paper on the management of COPD patients with ischemic coronary disease, heart failure and dysrhythmia.