Thromboprophylaxis for outpatients with COVID-19: a Systematic Review and Meta-analysis.

Patients with COVID-19 develop an increased risk of thromboembolism. Thromboprophylaxis is recommended for hospitalized COVID-19 patients, but the role of thromboprophylaxis in outpatients with COVID-19 is less well defined. We conducted a systematic review and meta-analysis to evaluate the safety and efficacy of thromboprophylaxis among outpatients with COVID-19. We searched PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science, and Scopus from inception to August 2023. The outcomes of interest were venous thromboembolic events including deep venous thrombosis and pulmonary embolism, all-cause mortality, cardiovascular events, hospitalization, major bleeding events, and non-major bleeding events. We included 6 trials comprising 3352 patients. Patients who received thromboprophylaxis had an approximately 70% reduction in venous thromboembolism (RR, 0.28 [95% CI, 0.08 to 0.93]) compared to patients who did not receive thromboprophylaxis. The risk of mortality (RR, 0.79 [95% CI, 0.35 to 1.77]), cardiovascular events (RR, 0.91 [95% CI, 0.30 to 2.73]), and hospitalization (RR, 1.09 [95% CI, 0.81 to 1.47]) were similar between the two groups. Patients who received thromboprophylaxis had a higher risk of non-major bleeding (RR, 3.48 [95% CI, 1.72 to 7.05) compared to patients who did not receive thromboprophylaxis. Thromboprophylaxis reduced the risk of venous thromboembolism but not mortality, cardiovascular events, or hospitalization among outpatients with COVID-19.

Analysis of mutation profiles in extranodal NK/T-cell lymphoma: clinical and prognostic correlations.

The molecular pathogenesis of extranodal NK/T-cell lymphoma (NKTCL) remains obscured despite the next-generation sequencing (NGS) studies explored on ever larger cohorts in the last decade. We addressed the highly variable mutation frequencies reported among previous studies with comprehensive amplicon coverage and enhanced sequencing depth to achieve higher genomic resolution for novel genetic discovery and comparative mutational profiling of the oncogenesis of NKTCL. Targeted exome sequencing was conducted to interrogate 415 cancer-related genes in a cohort of 36 patients with NKTCL, and a total of 548 single nucleotide variants (SNVs) and 600 Copy number variances (CNVs) were identified. Recurrent amplification of the MCL1 (67%) and PIM1 (56%) genes was detected in a dominant majority of patients in our cohort. Functional mapping of genetic aberrations revealed that an enrichment of mutations in the JAK-STAT signaling pathway, including the cytokine receptor LIFR (copy number loss) upstream of JAK3, STAT3 (activating SNVs), and downstream effectors of MYC, PIM1 and MCL1 (copy number gains). RNA in situ hybridization showed the significant consistence of MCL1 RNA level and copy number of MCL1 gene. We further correlated molecular and clinical parameters with overall survival (OS) of these patients. When correlations were analyzed by univariate followed by multivariate modelling, only copy number loss of LIFR gene and stage (III-IV) were independent prognostic factors of reduced OS. Our findings identified that novel loss of LIFR gene significantly correlated with the adverse clinical outcome of NKTCL patients and provided therapeutic opportunities for this disease through manipulating LIFR.

Feasibility of a promising pulsed electrostimulator for rapid motor recovery of foot drop.

Purpose: Foot drop still occurs in clinical practice, including in our case. Treatments for foot drop vary based on its etiology and severity of symptoms. Hence, in intractable foot drop cases, an invasive surgical intervention is needed. Here, we introduce a special noninvasive technique to treat our patient's foot drop. In this approach, we applied STIMPOD NMS460 neuromuscular stimulator device (STIMPOD NMS460), which is a low-frequency (10 Hz or less) transcutaneous electrical nerve stimulation (TENS) device with a pulsed radiofrequency (PRF) component. We are eager to know how effective the device is in treating foot drop, and we compared it with two kinds of surgical interventions. Materials and methods: The device settings are 5 Hz in frequency and 30mA in current amplitude. The device was applied on her left side at the L4 and L5 regions and at the fibular head. Each therapy session consists of individual 15-min treatments on these two body areas, and it only takes a total of 30 minutes. We recorded the change in ankle dorsiflexion degrees and muscle strength of our patient. Results and Conclusions: To our surprise, our patient's actual treatment status through STIMPOD NMS460 showed more effective recovery and no specific side effects than surgical interventions in similar conditions. Besides, after a three-month intervention, her affected ankle dorsiflexion recovered to almost her usual status. The reason why this device has such an effect may be that it has the benefits of TENS and PRF. Besides, some studies have revealed the nerve-repair effect of TENS and PRF. In conclusion, we believe that this device is fairly promising and may be qualified to be used in other patients with foot drop.

Resveratrol attenuates advanced glycation end product-induced senescence and inflammation in human gingival fibroblasts.

Background/purpose: The accumulation of advanced glycation end products (AGEs) lead to a series of immune responses such as: increased oxidative stress and inflammation which contribute to the development of diabetic complications and periodontal disease. Resveratrol is a natural compound that has anti-oxidant and anti-inflammatory effects. Studies have found that diabetes-induced periodontitis is mainly caused by oxidative stress, aging and increased inflammation. In view of resveratrol has been proposed to have the ability in anti-oxidant and anti-inflammation in a variety of tissues. However, the role of resveratrol in diabetic periodontitis remains to be investigated. In this study, we aimed to investigate the role of resveratrol in preventing and treating diabetic periodontitis. Materials and methods: First, cell proliferation was measured in AGEs-treated human gingival fibroblast with or without resveratrol. We examined the reactive oxygen species (ROS) generation, senescence-associated beta-galactosidase (SA-ß-gal) and senescence marker p16 in human gingival fibroblasts (HGFs) stimulated with AGEs with or without the treatment of resveratrol. To determine whether resveratrol has the potential to regulate inflammaging which is mediated via the NF-κB signaling pathway and, the expression of p65 and p-IκB were also investigated. Furthermore, the concentration of interleukin (IL)-6 and IL-8 were also measured in AGEs-stimulated HGFs treated with or without resveratrol. Results: ROS generation, cell senescence, and the secretion of IL-6 and IL-8 were significantly upregulated following the treatment of AGEs. However, the administration of resveratrol suppresses the generation of IL-6 and IL-8 and cell senescence via inhibiting NF-κB signaling pathway. Our results revealed that resveratrol inhibits inflammaging by downregulating NF-κB signaling pathway. Conclusion: According to our findings, AGEs increase senescence and the production of proinflammatory cytokines in the gingiva, while the administration of resveratrol impedes inflammaging via suppressing NF-κB signaling pathway.

The impact of sodium-glucose cotransporter-2 inhibitors on outcome of patients with diabetes mellitus and colorectal cancer.

BACKGROUND AND AIM: Patients with type 2 diabetes mellitus (T2DM) have a higher risk of colorectal cancer (CRC), and those with diagnosed CRC have a poorer prognosis compared with individuals with normal glucose levels. The inhibition of sodium-glucose cotransporter 2 (SGLT2) channels has been associated with a reduction in tumor proliferation in preclinical studies. We aimed to investigate the impact of sodium-glucose cotransporter 2 inhibitors (SGLT2i) on the outcome of T2DM patients with colorectal cancer. METHODS: We performed a retrospective cohort study comprising adult patients with T2DM and colorectal adenocarcinoma. SGLT2i recipients were matched to non-SGLT2i recipients in a 1:1 ratio based on age, sex, and cancer stage. The primary outcome was overall survival (OS) and progression-free survival (PFS), and the secondary outcomes were previously reported serious adverse events associated with SGLT2i. RESULTS: We identified 1347 patients with T2DM and colorectal adenocarcinoma, from which 92 patients in the SGLT2i cohort were matched to the non-SGLT2i cohort. Compared to non-SGLT2i recipients, SGLT2i recipients had a higher rate of 5-year OS (86.2% [95% CI: 72.0-93.5] vs 62.3% [95% CI: 50.9-71.8], P = 0.013) and 5-year PFS (76.6% [95% CI: 60.7-86.7] vs 57.0% [95% CI: 46.2-66.4], P = 0.021). In Cox proportional hazard analyses, SGLT2i were associated with a 50-70% reduction in all-cause mortality and disease progression. SGLT2i were not associated with an increased risk of serious adverse events. CONCLUSION: SGLT2i were associated with a higher rate of survival in T2DM patients with colorectal cancer.

Microwave quantum diode.

The fragile nature of quantum circuits is a major bottleneck to scalable quantum applications. Operating at cryogenic temperatures, quantum circuits are highly vulnerable to amplifier backaction and external noise. Non-reciprocal microwave devices such as circulators and isolators are used for this purpose. These devices have a considerable footprint in cryostats, limiting the scalability of quantum circuits. As a proof-of-concept, here we report a compact microwave diode architecture, which exploits the non-linearity of a superconducting flux qubit. At the qubit degeneracy point we experimentally demonstrate a significant difference between the power levels transmitted in opposite directions. The observations align with the proposed theoretical model. At - 99 dBm input power, and near the qubit-resonator avoided crossing region, we report the transmission rectification ratio exceeding 90% for a 50 MHz wide frequency range from 6.81 GHz to 6.86 GHz, and over 60% for the 250 MHz range from 6.67 GHz to 6.91 GHz. The presented architecture is compact, and easily scalable towards multiple readout channels, potentially opening up diverse opportunities in quantum information, microwave read-out and optomechanics.

Impact of different corticosteroids on severe community-acquired pneumonia: a systematic review and meta-analysis.

OBJECTIVES: Randomised controlled trials (RCTs) have demonstrated conflicting results regarding the effects of corticosteroids on the treatment of severe community-acquired pneumonia (CAP). We aimed to investigate the efficacy and safety of different corticosteroids on patients who were hospitalised for severe CAP. METHODS: We performed a systematic search through PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science, and Scopus from inception to May 2023. The primary outcome was all-cause mortality. Data analysis was performed using a random-effects model. RESULTS: A total of 10 RCTs comprising 1962 patients were included. Corticosteroids were associated with a lower rate of all-cause mortality (risk ratio (RR), 0.70 (95% CI 0.54 to 0.90); I2=0.00%). When stratified into different corticosteroid types, hydrocortisone was associated with an approximately 50% lower mortality risk (RR, 0.48 (95% CI 0.32 to 0.72); I2=0.00%). However, dexamethasone, methylprednisolone or prednisolone were not associated with an improvement in mortality. Furthermore, hydrocortisone was associated with a reduction in the rate of mechanical ventilation, acute respiratory distress syndrome, shock and duration of intensive care unit stay. These trends were not observed for dexamethasone, methylprednisolone or prednisolone. Corticosteroids were not associated with an increased risk of adverse events including gastrointestinal bleeding, secondary infection or hyperglycaemia. CONCLUSIONS: The use of hydrocortisone, but not other types of corticosteroids, was associated with a reduction in mortality and improvement in pneumonia outcomes among patients hospitalised with severe CAP.PROSPERO registration numberCRD42023431360.

Role of Fenofibrate Use in Dyslipidemia and Related Comorbidities in the Asian Population: A Narrative Review.

Hypertriglyceridemia and decreased high-density lipoprotein cholesterol (HDL-C) persist despite statin therapy, contributing to residual atherosclerotic cardiovascular disease (ASCVD) risk. Asian subjects are metabolically more susceptible to hypertriglyceridemia than other ethnicities. Fenofibrate regulates hypertriglyceridemia, raises HDL-C levels, and is a recommended treatment for dyslipidemia. However, data on fenofibrate use across different Asian regions are limited. This narrative review summarizes the efficacy and safety data of fenofibrate in Asian subjects with dyslipidemia and related comorbidities (diabetes, metabolic syndrome, diabetic retinopathy, and diabetic nephropathy). Long-term fenofibrate use resulted in fewer cardiovascular (CV) events and reduced the composite of heart failure hospitalizations or CV mortality in type 2 diabetes mellitus. Fenofibrate plays a significant role in improving irisin resistance and microalbuminuria, inhibiting inflammatory responses, and reducing retinopathy incidence. Fenofibrate plus statin combination significantly reduced composite CV events risk in patients with metabolic syndrome and demonstrated decreased triglyceride and increased HDL-C levels with an acceptable safety profile in those with high CV or ASCVD risk. Nevertheless, care is necessary with fenofibrate use due to possible hepatic and renal toxicities in vulnerable individuals. Long-term trials and real-world studies are needed to confirm the clinical benefits of fenofibrate in the heterogeneous Asian population with dyslipidemia.

Robust Fuzzy Neural Network With an Adaptive Inference Engine.

Fuzzy neural networks (FNNs) have been very successful at handling uncertainty in data using fuzzy mappings and if-then rules. However, they suffer from generalization and dimensionality issues. Although deep neural networks (DNNs) represent a step toward processing high-dimensional data, their capacity to address data uncertainty is limited. Furthermore, deep learning algorithms designed to improve robustness are either time consuming or yield unsatisfactory performance. In this article, we propose a robust fuzzy neural network (RFNN) to overcome these problems. The network contains an adaptive inference engine that is capable of handling samples with high-level uncertainty and high dimensions. Unlike traditional FNNs that use a fuzzy AND operation to calculate the firing strength for each rule, our inference engine is able to learn the firing strength adaptively. It also further processes the uncertainty in membership function values. Taking advantage of the learning ability of neural networks, the acquired fuzzy sets can be learned from training inputs automatically to cover the input space well. Furthermore, the consequent layer uses neural network structures to enhance the reasoning ability of the fuzzy rules when dealing with complex inputs. Experiments on a range of datasets show that RFNN delivers state-of-the-art accuracy even at very high levels of uncertainty. Our code is available online. https://github.com/leijiezhang/RFNN.

A Connectivity-Aware Graph Neural Network for Real-Time Drowsiness Classification.

Drowsy driving is one of the primary causes of driving fatalities. Electroencephalography (EEG), a method for detecting drowsiness directly from brain activity, has been widely used for detecting driver drowsiness in real-time. Recent studies have revealed the great potential of using brain connectivity graphs constructed based on EEG data for drowsy state predictions. However, traditional brain connectivity networks are irrelevant to the downstream prediction tasks. This article proposes a connectivity-aware graph neural network (CAGNN) using a self-attention mechanism that can generate task-relevant connectivity networks via end-to-end training. Our method achieved an accuracy of 72.6% and outperformed other convolutional neural networks (CNNs) and graph generation methods based on a drowsy driving dataset. In addition, we introduced a squeeze-and-excitation (SE) block to capture important features and demonstrated that the SE attention score can reveal the most important feature band. We compared our generated connectivity graphs in the drowsy and alert states and found drowsiness connectivity patterns, including significantly reduced occipital connectivity and interregional connectivity. Additionally, we performed a post hoc interpretability analysis and found that our method could identify drowsiness features such as alpha spindles. Our code is available online at https://github.com/ALEX95GOGO/CAGNN.

Reversible Charge Transfer Doping in Atomically Thin In2O3 by Viologens.

Atomically thin oxide semiconductors are emerging as potential materials for their potentiality in monolithic 3D integration and sensor applications. In this study, a charge transfer method employing viologen, an organic compound with exceptional reduction potential among n-type organics, is presented to modulate the carrier concentration in atomically thin In2O3 without the need of annealing. This study highlights the critical role of channel thickness on doping efficiency, revealing that viologen charge transfer doping is increasingly pronounced in thinner channels owing to their increased surface-to-volume ratio. Upon viologen doping, an electron sheet density of 6.8 × 1012 cm-2 is achieved in 2 nm In2O3 back gate device while preserving carrier mobility. Moreover, by the modification of the functional groups, viologens can be conveniently removed with acetone and an ultrasonic cleaner, making the viologen treatment a reversible process. Based on this doping scheme, we demonstrate an n-type metal oxide semiconductor inverter with viologen-doped In2O3, exhibiting a voltage gain of 26 at VD = 5 V. This complementary pairing of viologen and In2O3 offers ease of control over the carrier concentration, making it suitable for the next-generation electronic applications.

The relationship between statin administration timing and survival outcomes in patients with cancer receiving immune checkpoint blockade.

OBJECTIVE: Statins have been demonstrated to improve outcomes in patients receiving immune checkpoint blockade (ICB). This study aimed to investigate whether the timing of statin administration influences the outcomes of patients receiving ICB. METHODS: We conducted a retrospective cohort study utilizing electronic health records from two tertiary referral centers in Taiwan. We compared the overall survival (OS) and progression-free survival (PFS) of patients who received statins before and after ICB initiation. RESULTS: We included 734 patients who received ICB. Among them, 606 were non-statin users, 76 started statins after ICB initiation, and 52 started statins before ICB initiation. Post-ICB statin users demonstrated significantly prolonged OS (median 37.6 versus 10.3 versus 11.3 months, p = 0.009) and PFS (median 10.5 versus 6.3 versus 5.6 months, p = 0.024) compared to pre-ICB statin and non-statin users. Statin use after ICB initiation had a reduced risk of all-cause mortality (HR, 0.65 [95% CI: 0.45-0.94], p = 0.022) and progressive disease (HR, 0.71 [95% CI: 0.53-0.95], p = 0.021) by approximately 30-35%, compared to non-statin users. However, statin use prior to ICB initiation did not affect the risk of all-cause mortality or progressive disease. Similar results were observed after controlling for potential cofounders such as age, sex, cancer stage, and cancer type. CONCLUSIONS: These findings suggest that initiating statin therapy after the initiation of ICB, regardless of indication, is associated with improved patient prognosis.

Delay Analysis in Closed-Loop EEG Phase-Triggered Transcranial Magnetic Stimulation.

The recent development of closed-loop EEG phase-triggered transcranial magnetic stimulation (TMS) has advanced potential applications of adaptive neuromodulation based on the current brain state. Closed-loop TMS involves instantaneous acquisition of the EEG rhythm, timing prediction of the target phase, and triggering of TMS. However, the accuracy of EEG phase prediction algorithms is largely influenced by the system's transport delay, and their relationship is rarely considered in related work. This paper proposes a delay analysis that considers the delay of the closed-loop EEG phase-triggered TMS system as a primary factor in the validation of phase prediction algorithms. An in-silico validation using real EEG data was performed to compare the performance of commonly used algorithms. The experimental results indicate a significant influence of the total delay on the algorithm performance, and the performance ranking among algorithms varies at different levels of delay. We conclude that the delay analysis framework should be widely adopted in the design and validation of phase prediction algorithms for closed-loop EEG phase-triggered TMS systems.

The Effect of Exercise on Cardiotoxicity in Women with Breast Cancer Receiving Anthracycline-based chemotherapy: A Systematic Review and Meta-analysis.

INTRODUCTION: Breast cancer is the most common cancer in women with a 5-year survival over 90%. However, anthracycline-based chemotherapy causes significant cardiotoxicity often requiring discontinuation of chemotherapeutic regimen among breast cancer survivors. We conducted a systematic review and meta-analysis to evaluate the efficacy of exercise training in mitigating anthracycline-related cardiotoxicity among women with breast cancer. METHODS: We searched PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science, and Scopus databases. The outcomes of interest were Left ventricular ejection fraction (LVEF), global longitudinal strain (GLS), early to atrial filling velocity (E/A) ratio, maximal oxygen consumption (VO2 max), and cardiac output (CO). We used the Cochrane risk-of-bias tool for randomized trials (RoB 2) to assess the risk of bias in individual studies. RESULTS: We identified a total of 596 articles with 5 trials included in the final analysis. Exercise training was associated with an increase in VO2 max compared with no exercise training (mean difference, 3.95 [95% CI, 0.63 to 7.26]; I2 = 99.68%). Other cardiovascular outcomes such as LVEF (mean difference, 1.76 [95% CI, -1.95 to 5.46]; I2 = 99.44%), GLS (mean difference, 0.30 [95% CI, -0.49 to 1.10]; I2 = 96.63%), E/A ratio (mean difference, 0.05 [95% CI, -0.05 to 0.15]; I2 = 94.16%), and CO (mean difference, 0.38 [95% CI, -0.91 to 1.66]; I2 = 99.73%) are similar between patients who underwent exercise training and those who did not. CONCLUSIONS: Exercise was associated with an improvement in maximal oxygen uptake among women with breast cancer receiving anthracycline-based chemotherapy. .

Integrating Chemical Information into Reinforcement Learning for Enhanced Molecular Geometry Optimization.

Geometry optimization is a crucial step in computational chemistry, and the efficiency of optimization algorithms plays a pivotal role in reducing computational costs. In this study, we introduce a novel reinforcement-learning-based optimizer that surpasses traditional methods in terms of efficiency. What sets our model apart is its ability to incorporate chemical information into the optimization process. By exploring different state representations that integrate gradients, displacements, primitive type labels, and additional chemical information from the SchNet model, our reinforcement learning optimizer achieves exceptional results. It demonstrates an average reduction of about 50% or more in optimization steps compared to the conventional optimization algorithms that we examined when dealing with challenging initial geometries. Moreover, the reinforcement learning optimizer exhibits promising transferability across various levels of theory, emphasizing its versatility and potential for enhancing molecular geometry optimization. This research highlights the significance of leveraging reinforcement learning algorithms to harness chemical knowledge, paving the way for future advancements in computational chemistry.

The Association between Proton Pump Inhibitors and the Effectiveness of CDK Inhibitors in HR+/HER- Advanced Breast Cancer Patients: A Systematic Review and Meta-Analysis.

There have been many clinical questions regarding whether the use of proton pump inhibitors (PPIs) could deteriorate the effects of cyclin-dependent kinase inhibitors (CDKIs) in HR+/HER2- advanced breast cancer patients. We performed a systematic review and meta-analysis of this clinical question, including studies enrolling HR+/HER2- metastatic breast cancer patients treated with CDKIs (Palbociclib or Ribociclib) and reporting at least one comparative survival outcome, either overall survival (OS) or progression-free survival (PFS), between concomitant PPI users and non-users. Eight studies met the eligibility criteria, with a total of 2584 patients included (PPI users: 830, PPI non-users: 1754), demonstrating that concomitant PPI use was associated with significantly higher risks of all-cause mortality (HR = 2.03; 95% CI, 1.49 to 2.77; I2 = 0%) and disease progression (HR = 1.75; 95% CI, 1.26 to 2.43; I2 = 59%) in breast cancer patients taking Palbociclib. In contrast, there were no significant survival impacts of PPIs on Ribociclib (HR = 1.46; 95% CI, 0.91 to 2.34; I2 = 36%). Additionally, there was no significant difference in the risk associated with CDKI dose reduction due to drug toxicity (RR = 1.12; 95% CI, 0.97 to 1.29). Therefore, when HR+/HER2- advanced breast cancer patients require the use of PPIs, it may be reasonable to consider using Ribociclib.

Laser-Assisted Minimally Invasive Nonsurgical Therapy in Treating Severely Periodontally Compromised Teeth: A Case Series.

Minimally invasive nonsurgical treatment (MINST) aims to remove an etiology with minimal damage to the healthy periodontium and provide the ideal healing environment. This case series introduces the novel protocol of laser-assisted MINST (LAMINST), combining minimally invasive surgery with a dental laser. A total of 25 patients (32 teeth) with advanced periodontal disease were enrolled and received periodontal treatment by following the LAMINST protocol. Probing depth (PD), recession, clinical attachment level (CAL), bleeding on probing (BOP), plaque presence, and site mobility were evaluated preoperatively and at 6 months. Based on the periodontal evaluations, all cases were diagnosed as stage III grade C periodontitis. Six months after LAMINST, the average PD reduction was 4.44 mm and CAL improved by 4.38 mm. Baseline mobility scores of 1 (6 teeth), 2 (9 teeth), and 3 (3 teeth) decreased to 1 (5 teeth) or 0 (13 teeth). The initial prognoses of 5 (hopeless; 15 teeth), 4 (questionable; 13 teeth), and 3 (poor; 4 teeth), improved to 4 (5 teeth), 3 (12 teeth), 2 (fair; 13 teeth), and 1 (good; 2 teeth). The number of BOP sites reduced from 179 to 12, and the number of plaque sites reduced from 173 to 9. All clinical parameters were improved after LAMINST. The application of LAMINST may overcome the traditional limitations of nonsurgical treatment, such as poor accessibility.

Reliability of Cone Beam Computed Tomography in Predicting Implant Treatment Outcomes in Edentulous Patients.

Since the development of CBCT has been utilized in dentistry, the images of the CBCT can assist the surgeon to evaluate the anatomy carefully. Despite the value of radiology evaluation, implant procedures may require additional consideration rather than only evaluating the anatomical factors. The purpose of this study is to evaluate the predictability of using CBCT alone to plan for implant placement in edentulous patients digitally. CBCT images were analyzed by clinicians, measuring the maxillary and mandibular ridge heights and widths digitally of four predetermined implant sites in the maxillary and two selected implant sites in the mandibular arches of 91 patients planning for implant-supported overdenture. A total of 47 patients out of the 91 had completed implant placement on the edentulous ridge, contributing to 55 upper and/or lower arches (136 dental implants). Both predictabilities are low, implying that CBCT planning for implant placement on the edentulous ridge is not a good index and is insufficient to predict the surgical procedures as a solo method. The findings of this study indicate that digital planning by CBCT is insufficient to serve as an individual tool to predict implant procedures. Further information and evaluation must be considered for implant placement in the edentulous ridge.

A Modern Approach to Treat Molar/Incisor Pattern Periodontitis-Review.

Molar-incisor pattern periodontitis (MIPP) is a severe form of periodontal disease characterized by rapid attachment loss and bone destruction affecting the molars and incisors. Formerly referred to as aggressive periodontitis, the terminology for this condition was revised after the 2017 workshop on the classification of periodontal and peri-implant diseases and conditions. Despite the modification in nomenclature, the treatment strategies for MIPP remain a critical area of investigation. The core principles of MIPP treatment involve controlling local and systemic risk factors, managing inflammation, and arresting disease progression. Traditional non-surgical periodontal therapy, including scaling and root planing, is commonly employed as an initial step together with the prescription of antibiotics. Surgical intervention may be necessary to address the severe attachment loss. Surgical techniques like resective and regenerative procedures can aid in achieving periodontal health and improving esthetic outcomes. This review article aims to provide an overview of the current understanding and advancements in the treatment modalities of MIPP. Through an extensive analysis of the existing literature, we discuss various modern therapeutic approaches that have been explored for managing this challenging periodontal condition.