Effect of smoking cessation on psoriasis vulgaris, palmoplantar pustulosis and generalized pustular psoriasis.

BACKGROUND: Smoking is a known risk factor for psoriasis; however, the impact of smoking cessation on psoriasis has seldom been evaluated. OBJECTIVES: We aimed to examine the effects of smoking cessation on the development of psoriasis vulgaris (PsV), palmoplantar pustulosis (PPP) and generalized pustular psoriasis (GPP). METHODS: Using the Korean National Health Insurance Service database, we retrospectively compiled a cohort of 5 784 973 participants without psoriasis, analysed their changes in smoking status from 2004 to 2007 and followed up new cases of psoriasis until 2021. The psoriasis risks were compared with those of sustained smokers, smoking quitters, sustained ex-smokers and never smokers using multivariate Cox proportional hazard models. RESULTS: The mean age of the participants was 47.1 years (SD 13.5) and 3 092 426 (53.5%) were male. During 77 990 688 person-years, 67 364 psoriasis cases were identified. Compared with sustained smokers, smoking quitters showed a reduced risk of developing psoriasis [adjusted hazard ratio (aHR) 0.91; 95% confidence interval (CI) 0.87-0.95], specifically PsV (aHR 0.92; 95% CI 0.88-0.97) and PPP (aHR 0.71; 95% CI 0.63-0.79). The reduction in risk due to smoking cessation was more prominent in sustained ex-smokers (psoriasis: aHR 0.77, 95% CI 0.74-0.79; PsV: aHR 0.76, 95% CI 0.73-0.79; PPP: aHR 0.56, 95% CI 0.51-0.61; GPP: aHR 0.64; 95% CI 0.52-0.78). When conducting sensitivity analyses to address the potential for changes in smoking habits after 2007, the results and trends were consistent with the main findings, and a more pronounced significance was observed. CONCLUSIONS: Compared with continuous smoking, smoking cessation was associated with a decreased risk of developing psoriasis. The risk-reducing effect of smoking cessation was more pronounced in those maintaining a smoke-free status. Smoking cessation and the maintenance of a smoke-free status should be encouraged to prevent the development of psoriasis and all other smoking-related diseases.

Psoriasis vulgaris (PsV) is a chronic inflammatory skin condition that causes scaly plaques on the body. Pustular psoriasis [including palmoplantar pustulosis (PPP) and generalized pustular psoriasis (GPP)] is a variant characterized by sterile pustules. Limited evidence exists on how quitting smoking affects psoriasis and its subtypes. In this study conducted in South Korea, we aimed to investigate how changes in smoking habits, especially quitting smoking, could impact the development of psoriasis. We used medical claims records from the Korean National Health Insurance Service database, which included data from over 5.7 million people participating in health checkups between 2004 and 2007. We divided people into four groups based on their smoking habits: sustained smokers, smoking quitters, sustained ex-smokers and never smokers. We found that smoking quitters had a lower risk of developing psoriasis, especially PsV and PPP. Even people who had quit smoking and remained smoke-free for an extended period (sustained ex-smokers) showed a more pronounced reduction in the risk of psoriasis, including PsV, PPP and GPP. Our findings remained consistent across various groups of people, considering factors such as age, sex, weight and overall health. The results suggest that encouraging people to quit smoking and maintain a smoke-free lifestyle may help to prevent the onset of psoriasis. In conclusion, this large-scale study from South Korea provides real-world evidence to suggest that quitting smoking could reduce the risk of developing psoriasis. These findings are valuable for public health initiatives, emphasizing the benefits of quitting smoking for skin health.

A Comprehensive Landscape of De Novo Malignancy After Double Lung Transplantation.

Although the association between post-transplant malignancy (PTM) and immunosuppressive therapy after organ transplantation has been studied, an integrated review of PTM after lung transplantation is lacking. We investigated the incidence and types of de novo PTM and its impact on survival following double lung transplantation (DLT). The incidence and type of PTM as well as the annual and cumulative risks of each malignancy after DLT were analyzed. The overall survival (OS) of recipients with or without PTM was compared by the Kaplan-Meier survival method and landmark analysis. There were 5,629 cases (23.52%) with 27 types of PTMs and incidences and OS varied according to the types of PTMs. The recipients with PTM showed a significantly longer OS than those without PTM (p < 0.001). However, while the recipients with PTM showed significantly better OS at 3, and 5 years (p < 0.001, p = 0.007), it was worse at the 10-year landmark time (p = 0.013). And the single PTM group showed a worse OS rate than the multiple PTM group (p < 0.001). This comprehensive report on PTM following DLT can help understand the risks and timing of PTM to improve the implementation of screening and treatment.

Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records.

Electronic health records (EHRs) have become a platform for data-driven granular-level surveillance in recent years. In this paper, we make use of EHRs for early prevention of childhood obesity. The proposed method simultaneously provides smooth disease mapping and outlier information for obesity prevalence that are useful for raising public awareness and facilitating targeted intervention. More precisely, we consider a penalized multilevel generalized linear model. We decompose regional contribution into smooth and sparse signals, which are automatically identified by a combination of fusion and sparse penalties imposed on the likelihood function. In addition, we weigh the proposed likelihood to account for the missingness and potential nonrepresentativeness arising from the EHR data. We develop a novel alternating minimization algorithm, which is computationally efficient, easy to implement, and guarantees convergence. Simulation studies demonstrate superior performance of the proposed method. Finally, we apply our method to the University of Wisconsin Population Health Information Exchange database.

Smoking Cessation and Risk of Hidradenitis Suppurativa Development.

Importance: Although tobacco smoking is established as a risk factor for hidradenitis suppurativa (HS), studies on the effects of smoking cessation on HS are limited, and evidence is lacking. Objective: To examine the association between changes in smoking status and the development of HS. Design, Setting, and Participants: This population-based cohort study enrolled participants from the Korean National Health Insurance Service database who had undergone 2 consecutive biennial health examinations (2004-2005 and 2006-2007) as the primary cohort. Within the primary cohort, the secondary cohort comprised individuals who underwent all biennial health examinations throughout the follow-up period and maintained the same smoking status from 2006 to 2007 to the end of the follow-up period. Data were analyzed from July to December 2023. Exposures: Changes in smoking habit status. Main Outcomes and Measures: Risk of HS development. The HS risk according to change in smoking status between the 2 consecutive health examinations was estimated using a Cox proportional hazards model. Results: Of the 6 230 189 participants enrolled, the mean (SD) age was 47.2 (13.5) years, and 55.6% were male. During 84 457 025 person-years of follow-up, 3761 HS events occurred. In the primary cohort, compared to those who consistently reported active smoking at both checkups (ie, sustained smokers), lower HS risk was seen among those who were confirmed to smoke initially but quit by the second checkup (ie, smoking quitters) (adjusted hazard ratio [AHR], 0.68; 95% CI, 0.56-0.83), those who maintained cessation status throughout (AHR, 0.67; 95% CI, 0.57-0.77), and those who reported never smoking at either checkup (ie, never smokers) (AHR, 0.57; 95% CI, 0.52-0.63). Those who initially quit smoking but resumed by the second checkup and those who had no previous smoking history but started at the second checkup (ie, new smokers) exhibited similar HS risk as sustained smokers. The secondary cohort results aligned with those of the primary cohort, showing a more pronounced risk reduction with smoking cessation (AHR, 0.57; 95% CI, 0.39-0.83). Considering time-smoking interaction, the cumulative incidence and the risk of HS in smoking quitters were similar to those in sustained smokers in the early stages of observation. However, 3 to 4 years after smoking cessation, the rate decelerated, resembling that of never smokers, and there was a statistically significant decrease in the risk that persisted (between 3 and 6 years from the index date: AHR, 0.58; 95% CI, 0.36-0.92; and ≥12 years from the index date: AHR, 0.70; 95% CI, 0.50-0.97). New smokers initially paralleled never smokers but accelerated after 2 to 3 years, reaching sustained smokers' levels. Conclusions and Relevance: In this cohort study, quitting smoking and sustaining a smoke-free status were associated with a reduced risk of HS development compared to continuous smoking. In contrast, resuming or initiating smoking may have as detrimental an effect on HS development as continual smoking.

Astaxanthin and meclizine extend lifespan in UM-HET3 male mice; fisetin, SG1002 (hydrogen sulfide donor), dimethyl fumarate, mycophenolic acid, and 4-phenylbutyrate do not significantly affect lifespan in either sex at the doses and schedules used.

In genetically heterogeneous (UM-HET3) mice produced by the CByB6F1 × C3D2F1 cross, the Nrf2 activator astaxanthin (Asta) extended the median male lifespan by 12% (p = 0.003, log-rank test), while meclizine (Mec), an mTORC1 inhibitor, extended the male lifespan by 8% (p = 0.03). Asta was fed at 1840 ± 520 (9) ppm and Mec at 544 ± 48 (9) ppm, stated as mean ± SE (n) of independent diet preparations. Both were started at 12 months of age. The 90th percentile lifespan for both treatments was extended in absolute value by 6% in males, but neither was significant by the Wang-Allison test. Five other new agents were also tested as follows: fisetin, SG1002 (hydrogen sulfide donor), dimethyl fumarate, mycophenolic acid, and 4-phenylbutyrate. None of these increased lifespan significantly at the dose and method of administration tested in either sex. Amounts of dimethyl fumarate in the diet averaged 35% of the target dose, which may explain the absence of lifespan effects. Body weight was not significantly affected in males by any of the test agents. Late life weights were lower in females fed Asta and Mec, but lifespan was not significantly affected in these females. The male-specific lifespan benefits from Asta and Mec may provide insights into sex-specific aspects of aging.

Discrimination between genetically identical peony roots from different regions of origin based on 1H-nuclear magnetic resonance spectroscopy-based metabolomics: determination of the geographical origins and estimation of the mixing proportions of blended samples.

Sixty peony root training samples of the same age were collected from various regions in Korea and China, and their genetic diversity was investigated for 23 chloroplast intergenic space regions. All samples were genetically indistinguishable, indicating that the DNA-based techniques employed were not appropriate for determining the samples' regions of origin. In contrast, (1)H-nuclear magnetic resonance ((1)H-NMR) spectroscopy-based metabolomics coupled with multivariate statistical analysis revealed a clear difference between the metabolic profiles of the Korean and Chinese samples. Orthogonal projections on the latent structure-discrimination analysis allowed the identification of potential metabolite markers, including γ-aminobutyric acid, arginine, alanine, paeoniflorin, and albiflorin, that could be useful for classifying the samples' regions of origin. The validity of the discrimination model was tested using the response permutation test and blind prediction test for internal and external validations, respectively. Metabolomic data of 21 blended samples consisting of Korean and Chinese samples mixed at various proportions were also acquired by (1)H-NMR analysis. After data preprocessing which was designed to eliminate uncontrolled deviations in the spectral data between the testing and training sets, a new statistical procedure for estimating the mixing proportions of blended samples was established using the constrained least squares method for the first time. The predictive procedure exhibited relatively good predictability (adjusted R (2) = 0.7669), and thus has the potential to be used in the quality control of peony root by providing correct indications for a sample's geographical origins.

The association between the risk perceptions of COVID-19, trust in the government, political ideologies, and socio-demographic factors: A year-long cross-sectional study in South Korea.

Risk perception research, targeting the general public, necessitates the study of the multi-faceted aspects of perceived risk through a holistic approach. This study aimed to investigate the association between the two dimensions of risk perception of COVID-19, i.e., risk as a feeling and analysis, trust in the current government, political ideologies, and socio-demographic factors in South Korea. This study used a year-long repeated cross-sectional design, in which a national sample (n = 23,018) participated in 23 consecutive telephone surveys from February 2020 to February 2021. Most factors differed in the magnitude and direction of their relationships with the two dimensions of risk perception. However, trust in the current government, alone, delineated an association in the same direction for both dimensions, i.e., those with a lower level of trust exhibited higher levels of cognitive and affective risk perception. Although these results did not change significantly during the one-year observation period, they are related to the political interpretation of risk. This study revealed that affective and cognitive risk perceptions addressed different dimensions of risk perception. These findings could help governments and health authorities better understand the nature and mechanisms of public risk perception when implementing countermeasures and policies in response to the COVID-19 pandemic and other public health emergencies.

Identifying patients with deteriorating generalized pustular psoriasis: Development of a prediction model.

Generalized pustular psoriasis (GPP) is a life-threatening condition; however, little is known about the factors that can predict GPP patients manifesting a deteriorating course. To investigate the demographics and clinical features of adult inpatient GPP and propose a prediction model for detecting fatal GPP (fGPP) and GPP requiring intensive care unit admission (iGPP) patients, a nationwide population-based retrospective cohort study was conducted. The adult inpatients with GPP from January 2007 to December 2020 were assessed. The 800 cases were aged 51.0 years (median [interquartile range, 37.0-64.0]). Overall, 21 iGPP (64.0 years [54.0-77.0]) and 17 fGPP (75.0 years [68.0-77.0]) cases were identified as deteriorating GPP. Renal disease (odds ratio [OR], 7.31), myocardial infarction history (OR, 4.29), liver disease (OR, 2.82), and diabetes mellitus (OR, 2.34) were identified as predictors for iGPP. For fGPP, myocardial infarction history (OR, 5.10) and psoriasis history (OR, 3.13) were established as predictors. A prediction model with scores ranging 0-11 points showed a reliable diagnostic value in detecting deteriorating GPP (area under the curve = 0.75 for iGPP and 0.83 for fGPP). In conclusion, this study provides the clinical features of deteriorating GPP. A prediction model may help physicians to identify patients with deteriorating GPP.

Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score.

With the increasing adoption of electronic health records, there is an increasing interest in developing individualized treatment rules, which recommend treatments according to patients' characteristics, from large observational data. However, there is a lack of valid inference procedures for such rules developed from this type of data in the presence of high-dimensional covariates. In this work, we develop a penalized doubly robust method to estimate the optimal individualized treatment rule from high-dimensional data. We propose a split-and-pooled de-correlated score to construct hypothesis tests and confidence intervals. Our proposal adopts the data splitting to conquer the slow convergence rate of nuisance parameter estimations, such as non-parametric methods for outcome regression or propensity models. We establish the limiting distributions of the split-and-pooled de-correlated score test and the corresponding one-step estimator in high-dimensional setting. Simulation and real data analysis are conducted to demonstrate the superiority of the proposed method.

The association between immunosuppressants use and COVID-19 adverse outcomes: national COVID-19 cohort in South Korea.

BACKGROUND: There is uncertainty of the effect of immunosuppression, including corticosteroids, before COVID-19 infection on COVID-19 outcomes. The aim of this study was to investigate the relationship between prehospitalization immunosuppressants use (exposure) and COVID-19 patient outcomes. METHODS: We conducted a population-based retrospective cohort study using a nationwide healthcare claims database of South Korea as of May 15, 2020. Confirmed COVID-19 infection in hospitalized individuals aged 40 years or older were included for analysis. We defined exposure variable by using inpatient and outpatient prescription records of immunosuppressants from the database. Our primary endpoint was a composite endpoint of all-cause death, intensive care unit (ICU) admission, and mechanical ventilation use. Inverse probability of treatment weighting (IPTW)-adjusted logistic regression analyses were used, to estimate odds ratio (OR) and 95% confidence intervals (CI), comparing immunosuppressants users and non-users. RESULTS: We identified 4,349 patients, for which 1,356 were immunosuppressants users and 2,993 were non-users. Patients who used immunosuppressants were at increased odds of the primary endpoint of all-cause death, ICU admission and mechanical ventilation use (IPTW OR =1.32; 95% CI: 1.06-1.63), driven by higher odds of all-cause mortality (IPTW OR =1.63; 95% CI: 1.21-2.26). Patients who used corticosteroids (n=1,340) were at increased odds of the primary endpoint (IPTW OR =1.33; 95% CI: 1.07-1.64). CONCLUSIONS: Immunosuppressant use was associated with worse outcomes among COVID-19 patients. These findings support the latest guidelines from the CDC that people on immunosuppressants are at high risk of severe COVID-19 and that immunocompromised people may benefit from booster COVID-19 vaccinations.

The prognostic role of anticoagulants in COVID-19 patients: national COVID-19 cohort in South Korea.

BACKGROUND: There currently exists a paucity of data on whether pre-admission anticoagulants use may have benefits among COVID-19 patients by preventing COVID-19 associated thromboembolism. The aim of this study was to assess the association between pre-admission anticoagulants use and COVID-19 adverse outcomes. METHODS: We conducted a population-based cohort studying using the Health Insurance Review and Assessment Service (HIRA) claims data released by the South Korean government. Our study population consisted of South Koreans who were aged 40 years or older and hospitalized with COVID-19 between 1 January 2020 through 15 May 2020. We defined anticoagulants users as individuals with inpatient and outpatient prescription records in 120 days before cohort entry. Our primary endpoint was a composite of all-cause death, intensive care unit (ICU) admission, and mechanical ventilation use. Individual components of the primary endpoint were secondary endpoints. We compared the risk of endpoints between the anticoagulants users and non-users by logistic regression models, with the standardized mortality ratio weighting (SMRW) adjustment. RESULTS: In our cohort of 4,349 patients, for the primary endpoint of mortality, mechanical ventilation and ICU admission, no difference was noted between anticoagulants users and non-users (SMRW OR 1.11, 95% CI: 0.60-2.05). No differences were noted, among individual components. No effect modification was observed by age, sex, history of atrial fibrillation and thromboembolism, and history of cardiovascular disease. When applying the inverse probability of treatment weighting (IPTW) and SMRW with doubly robust methods in sensitivity analysis, anticoagulants use was associated with increased odds of the primary endpoint. CONCLUSIONS: Pre-admission anticoagulants were not determined to have a protective role against severe COVID-19 outcomes.

The association between statin and COVID-19 adverse outcomes: national COVID-19 cohort in South Korea.

BACKGROUND: There currently exist limited and conflicting clinical data on the use of statins in coronavirus disease 2019 (COVID-19) patients. The aim of this paper was to compare hospitalized patients with COVID-19 who did and did not receive statins. METHODS: We performed a population-based retrospective cohort study using South Korea's nationwide healthcare claim database. We identified consecutive patients hospitalized with COVID-19 and aged 40 years or older. Statin users were individuals with inpatient and outpatient prescription records of statins in the 240 days before cohort entry to capture patients who are chronic statin users and, therefore, receive statin prescriptions as infrequently as every 8 months. Our primary endpoint was a composite of all-cause death, intensive care unit (ICU) admission, mechanical ventilation use and cardiovascular outcomes [myocardial infarction (MI), transient cerebral ischemic attacks (TIA) or stroke]. We compared the risk of outcomes between statin users and non-users using logistic regression models after inverse probability of treatment weighting (IPTW) adjustment. RESULTS: Of 234,427 subjects in the database, 4,349 patients were hospitalized with COVID-19 and aged 40+ years. In total, 1,115 patients were statin users (mean age =65.9 years; 60% female), and 3,234 were non-users (mean age =58.3 years; 64% female). Pre-hospitalization statin use was not significantly associated with increased risk of the primary endpoint [IPTW odds ratio (OR) 0.82; 95% confidence interval (CI): 0.60-1.11]. Subgroup analysis showed a protective role of antecedent statin use for individuals with hypertension (IPTW OR 0.40; 95% CI: 0.23-0.69, P for interaction: 0.0087). CONCLUSIONS: Pre-hospitalization statin use is not detrimental and may be beneficial amongst hypertensive COVID-19 patients. Further investigation into statin is needed for more conclusive effects of statins for treatment of COVID-19.

The protective association between statins use and adverse outcomes among COVID-19 patients: A systematic review and meta-analysis.

INTRODUCTION: Statins may reduce a cytokine storm, which has been hypothesized as a possible mechanism of severe COVID-19 pneumonia. The aim of this study was to conduct a systematic review and meta-analysis to report on adverse outcomes among COVID-19 patients by statin usage. METHODS: Literatures were searched from January 2019 to December 2020 to identify studies that reported the association between statin usage and adverse outcomes, including mortality, ICU admissions, and mechanical ventilation. Studies were meta-analyzed for mortality by the subgroups of ICU status and statin usage before and after COVID-19 hospitalization. Studies reporting an odds ratio (OR) and hazard ratio (HR) were analyzed separately. RESULTS: Thirteen cohorts, reporting on 110,078 patients, were included in this meta-analysis. Individuals who used statins before their COVID-19 hospitalization showed a similar risk of mortality, compared to those who did not use statins (HR 0.80, 95% CI: 0.50, 1.28; OR 0.62, 95% CI: 0.38, 1.03). Patients who were administered statins after their COVID-19 diagnosis were at a lower risk of mortality (HR 0.53, 95% CI: 0.46, 0.61; OR 0.57, 95% CI: 0.43, 0.75). The use of statins did not reduce the mortality of COVID-19 patients admitted to the ICU (OR 0.65; 95% CI: 0.26, 1.64). Among non-ICU patients, statin users were at a lower risk of mortality relative to non-statin users (HR 0.53, 95% CI: 0.46, 0.62; OR 0.64, 95% CI: 0.46, 0.88). CONCLUSION: Patients administered statins after COVID-19 diagnosis or non-ICU admitted patients were at lower risk of mortality relative to non-statin users.

Colchicine use in patients with COVID-19: A systematic review and meta-analysis.

INTRODUCTION: Colchicine may inhibit inflammasome signaling and reduce proinflammatory cytokines, a purported mechanism of COVID-19 pneumonia. The aim of this systematic review and meta-analysis is to report on the state of the current literature on the use of colchicine in COVID-19 and to investigate the reported clinical outcomes in COVID-19 patients by colchicine usage. METHODS: The literature was searched from January 2019 through January 28, 2021. References were screened to identify studies that reported the effect of colchicine usage on COVID-19 outcomes including mortality, intensive care unit (ICU) admissions, or mechanical ventilation. Studies were meta-analyzed for mortality by the subgroup of trial design (RCT vs observational) and ICU status. Studies reporting an risk ratio (RR), odds ratio (OR) and hazard ratio (HR) were analyzed separately. RESULTS: Eight studies, reporting on 16,248 patients, were included in this review. The Recovery trial reported equivalent mortality between colchicine and non-colchicine users. Across the other studies, patients who received colchicine had a lower risk of mortality-HR of 0.25 (95% CI: 0.09, 0.66) and OR of 0.22 (95% CI: 0.09, 0.57). There was no statistical difference in risk of ICU admissions between patients with COVID-19 who received colchicine and those who did not-OR of 0.26 (95% CI: 0.06, 1.09). CONCLUSION: Colchicine may reduce the risk of mortality in individuals with COVID-19. Further prospective investigation may further determine the efficacy of colchicine as treatment in COVID-19 patients in various care settings of the disease, including post-hospitalization and long-term care.

An analysis of general surgery-related complications in a series of 412 minilaparotomic anterior lumbosacral procedures.

OBJECT: Anterior lumbar surgery is associated with certain perioperative visceral and vascular complications. The aim of this study was to document all general surgery-related adverse events and complications following minilaparotomic retroperitoneal lumbar procedures and to discuss strategies for their management or prevention. METHODS: The authors analyzed data obtained in 412 patients who underwent anterior lumbosacral surgery between 2003 and 2005. The series comprised 114 men and 298 women whose mean age was 56 years (range 34-79 years). Preoperative diagnoses were as follows: isthmic spondylolisthesis (32%), degenerative spondylolisthesis (24%), instability/stenosis (15%), degenerative disc disease (15%), failed-back surgery syndrome (7%), and lumbar degenerative kyphosis or scoliosis (7%). A single level was exposed in 264 patients (64%), 2 in 118 (29%), and 3 or 4 in 30 (7%). The average follow-up period was 16 months. RESULTS: Overall, 52 instances of complications and adverse events occurred in 50 patients (12.1%), including sympathetic dysfunction in 25 (6.06%), vascular injury repaired with/without direct suture in 12 (2.9%), ileus lasting > 3 days in 5 (1.2%), pleural effusion in 4 (0.97%), wound dehiscence in 2 (0.49%), symptomatic retroperitoneal hematoma in 2 (0.49%), angina in 1 (0.24%), and bowel laceration in 1 patient (0.24%). There was no instance of retrograde ejaculation in male patients, and most complications had no long-term sequelae. CONCLUSIONS: This report presents a detailed analysis of complications related to anterior lumbar surgery. Although the incidence of complications appears low considering the magnitude of the procedure, surgeons should be aware of these potential complications and their management.

Mini-transforaminal lumbar interbody fusion versus anterior lumbar interbody fusion augmented by percutaneous pedicle screw fixation: a comparison of surgical outcomes in adult low-grade isthmic spondylolisthesis.

STUDY DESIGN: Retrospective clinical data analysis. OBJECTIVE: To compare clinical results with radiologic results of 2 fusion techniques for adult low-grade isthmic spondylolisthesis. SUMMARY OF BACKGROUND DATA: There is clear evidence that lumbar interbody fusion using anterior and posterior approaches provides a high fusion rate, good sagittal alignment, and good clinical outcomes. However, there are no recent studies that compare these 2 fusion techniques. METHODS: Between March 2004 and December 2004, 48 patients underwent instrumented mini-anterior lumbar interbody fusion (ALIF) and 46 underwent instrumented mini-transforaminal lumbar interbody fusion (TLIF). The mean follow-up periods were 32.6 and 29.7 months, respectively. RESULTS: The mean visual analog scale (VAS) scores for back and leg pain decreased, respectively, from 7.7 and 7.5 to 2.9 and 2.7 in the ALIF group and from 7.0 and 6.3 to 2.3 and 2.2 in the TLIF group. The mean Oswestry disability index (ODI) scores improved from 51.4% to 23.2% in the ALIF group and from 52% to 14.4% in the TLIF group. In both groups, the VAS and ODI scores significantly changed preoperatively to postoperatively (P<0.001). However, statistical analysis showed no significant difference in postoperative VAS/ODI scores between groups. Radiologic evidence of fusion was noted in 95.8% and 92.3% of the patients in the ALIF group and the TLIF group, respectively. In both the groups, changes in the disc height, segmental lordosis, degree of listhesis, and whole lumbar lordosis (WL) between the preoperative and postoperative periods were significant except for WL in the TLIF group. The amount of change between preoperative and postoperative disc height, segmental lordosis, and WL demonstrated significant intergroup differences (P<0.05). CONCLUSIONS: The mini-ALIF group demonstrated key radiographic advantages compared with the mini-TLIF group for adult low-grade isthmic spondylolisthesis. However, clinical and functional outcomes did not demonstrate significant differences between groups.

Machine learning models based on the dimensionality reduction of standard automated perimetry data for glaucoma diagnosis.

INTRODUCTION: Visual field testing via standard automated perimetry (SAP) is a commonly used glaucoma diagnosis method. Applying machine learning techniques to the visual field test results, a valid clinical diagnosis of glaucoma solely based on the SAP data is provided. In order to reflect structural-functional patterns of glaucoma on the automated diagnostic models, we propose composite variables derived from anatomically grouped visual field clusters to improve the prediction performance. A set of machine learning-based diagnostic models are designed that implement different input data manipulation, dimensionality reduction, and classification methods. METHODS: Visual field testing data of 375 healthy and 257 glaucomatous eyes were used to build the diagnostic models. Three kinds of composite variables derived from the Garway-Heath map and the glaucoma hemifield test (GHT) sector map were included in the input variables in addition to the 52 SAP visual filed locations. Dimensionality reduction was conducted to select important variables so as to alleviate high-dimensionality problems. To validate the proposed methods, we applied four classifiers-linear discriminant analysis, naïve Bayes classifier, support vector machines, and artificial neural networks-and four dimensionality reduction methods-Pearson correlation coefficient-based variable selection, Markov blanket variable selection, the minimum redundancy maximum relevance algorithm, and principal component analysis- and compared their classification performances. RESULTS: For all tested combinations, the classification performance improved when the proposed composite variables and dimensionality reduction techniques were implemented. The combination of total deviation values, the GHT sector map, support vector machines, and Markov blanket variable selection obtains the best performance: an area under the receiver operating characteristic curve (AUC) of 0.912. CONCLUSION: A glaucoma diagnosis model giving an AUC of 0.912 was constructed by applying machine learning techniques to SAP data. The results show that dimensionality reduction not only reduces dimensions of the input space but also enhances the classification performance. The variable selection results show that the proposed composite variables from visual field clustering play a key role in the diagnosis model.

Anterior debridement and fusion followed by posterior pedicle screw fixation in pyogenic spondylodiscitis: autologous iliac bone strut versus cage.

OBJECT: An anterior approach for debridement and fusion with autologous bone graft has been recommended as the gold standard for surgical treatment of pyogenic spondylodiscitis. The use of anterior foreign body implants at the site of active infection is still a challenging procedure for spine surgeons. Several authors have recently introduced anterior grafting with titanium mesh cages instead of autologous bone strut in the treatment of spondylodiscitis. The authors present their experience of anterior fusion with 3 types of cages followed by posterior pedicle screw fixation. They also compare their results with the use of autologous iliac bone strut. METHODS: The authors retrospectively reviewed the cases of 60 patients with pyogenic spondylodiscitis treated by anterior debridement between January 2003 and April 2005. Fusion using either cages or iliac bone struts was performed during the same course of anesthesia followed by posterior fixation. Twenty-three patients underwent fusion with autologous iliac bone strut, and 37 patients underwent fusion with 1 of the 3 types of cages. RESULTS: The infections resolved in all patients, as noted by normalization of their erythrocyte sedimentation rates and C-reactive protein levels. Patients in both groups were evaluated in terms of their preoperative and postoperative clinical and imaging findings. CONCLUSIONS: Single-stage anterior debridement and cage fusion followed by posterior pedicle screw fixation can be effective in the treatment of pyogenic spondylodiscitis. There was no difference in clinical and imaging outcomes between the strut group and cage group except for the subsidence rate. The subsidence rate was higher in the strut group than in the cage group. The duration until subsidence was also shorter in the strut group than in the cage group.

Lymphocele formation after anterior lumbar interbody fusion at L4-5. Case report.

In this report, the authors present the case of patient with a lymphocele in the retroperitoneal area following anterior lumbar interbody fusion at L4-5. A lymphocele is a rare complication of spinal operations, especially lower lumbar spinal surgeries. The authors discuss this complicating factor and describe its features and treatments.