Environmental impact of single-use and reusable flexible cystoscopes.

OBJECTIVES: To compare the carbon footprint and environmental impact of single-use and reusable flexible cystoscopes. MATERIALS AND METHODS: We analysed the expected clinical lifecycle of single-use (Ambu aScope™ 4 Cysto) and reusable (Olympus CYF-V2) flexible cystoscopes, from manufacture to disposal. Performance data on cumulative procedures between repairs and before decommissioning were derived from a high-volume multispecialty practice. We estimated carbon expenditures per-case using published data on endoscope manufacturing, energy consumption during transportation and reprocessing, and solid waste disposal. RESULTS: A fleet of 16 reusable cystoscopes in service for up to 135 months averaged 207 cases between repairs and 3920 cases per lifecycle. Based on a manufacturing carbon footprint of 11.49 kg CO2 /kg device for reusable flexible endoscopes and 8.54 kg CO2 /kg device for single-use endoscopes, the per-case manufacturing cost was 1.37 kg CO2 for single-use devices and 0.0017 kg CO2 for reusable devices. The solid mass of single-use and reusable devices was 0.16 and 0.57 kg, respectively. For reusable devices, the energy consumption of reusable device reprocessing using an automated endoscope reprocessor was 0.20 kg CO2 , and per-case costs of device repackaging and repair were 0.005 and 0.02 kg CO2 , respectively. The total estimated per-case carbon footprint of single-use and reusable devices was 2.40 and 0.53 kg CO2 , respectively, favouring reusable devices. CONCLUSION: In this lifecycle analysis, the environmental impact of reusable flexible cystoscopes is markedly less than single-use cystoscopes. The primary contributor to the per-case carbon cost of reusable devices is energy consumption of reprocessing.

Protective Effects and Mechanism of Polysaccharides from Edible Medicinal Plants in Alcoholic Liver Injury: A Review.

Alcohol use accounts for a large variety of diseases, among which alcoholic liver injury (ALI) poses a serious threat to human health. In order to overcome the limitations of chemotherapeutic agents, some natural constituents, especially polysaccharides from edible medicinal plants (PEMPs), have been applied for the prevention and treatment of ALI. In this review, the protective effects of PEMPs on acute, subacute, subchronic, and chronic ALI are summarized. The pathogenesis of alcoholic liver injury is analyzed. The structure-activity relationship (SAR) and safety of PEMPs are discussed. In addition, the mechanism underlying the hepatoprotective activity of polysaccharides from edible medicinal plants is explored. PEMPs with hepatoprotective activities mainly belong to the families Orchidaceae, Solanaceae, and Liliaceae. The possible mechanisms of PEMPs include activating enzymes related to alcohol metabolism, attenuating damage from oxidative stress, regulating cytokines, inhibiting the apoptosis of hepatocytes, improving mitochondrial function, and regulating the gut microbiota. Strategies for further research into the practical application of PEMPs for ALI are proposed. Future studies on the mechanism of action of PEMPs will need to focus more on the utilization of multi-omics approaches, such as proteomics, epigenomics, and lipidomics.

Self-reported quality of life as a predictor of mortality in renal cell carcinoma.

BACKGROUND: This study evaluated the utility of self-reported quality of life (QOL) metrics in predicting mortality among all-comers with renal cell carcinoma (RCC) and externally tested the findings in a registry of patients with small renal masses. METHODS: The Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) captured QOL metrics composed of mental component summary (MCS) and physical component summary (PCS) scores. Regression models assessed associations of MCS and PCS with all-cause, RCC-specific, and non-RCC-specific mortality. Harrell's concordance statistic (the C-index) and the Akaike information criterion (AIC) determined predictive accuracy and parsimony, respectively. Findings were tested in the prospective Delayed Intervention and Surveillance for Small Renal Masses (DISSRM) registry. RESULTS: In SEER-MHOS, 1494 patients had a median age of 73.4 years and a median follow-up time of 5.6 years. Each additional MCS and PCS point reduced the hazard of all-cause mortality by 1.3% (95% CI, 0.981-0.993; P < .001) and 2.3% (95% CI, 0.971-0.984; P < .001), respectively. Models with QOL metrics demonstrated higher predictive accuracy (C-index, 72.3% vs 70.1%) and parsimony (AIC, 9376.5 vs 9454.5) than models without QOL metrics. QOL metrics exerted a greater effect on non-RCC-specific mortality than RCC-specific mortality. External testing in the DISSRM registry confirmed these findings with similar results for all-cause mortality. CONCLUSIONS: Models with self-reported QOL metrics predicted all-cause mortality in patients with RCC with higher accuracy and parsimony than those without QOL metrics. Physical health was a stronger predictor of mortality than mental health. The findings support the incorporation of QOL metrics into prognostic models and patient counseling for RCC.

Active Surveillance versus Immediate Intervention for Small Renal Masses: A Cost-Effectiveness and Clinical Decision Analysis.

PURPOSE: Active surveillance (AS) with the possibility of delayed intervention (DI) is emerging as a safe alternative to immediate intervention for many patients with small renal masses (SRMs). However, limited comparative data exist to inform the most appropriate management strategy for SRMs. MATERIALS AND METHODS: Decision analytic Markov modeling was performed to estimate the health outcomes and costs of 4 management strategies for 65-year-old patients with an incidental SRM: AS (with possible DI), immediate partial nephrectomy, radical nephrectomy, and thermal ablation. Mortality, direct medical costs, quality-adjusted life-years, and incremental cost-effectiveness ratios were evaluated over 10 years. RESULTS: The 10-year all-cause mortality was 22.6% for AS, 21.9% for immediate partial nephrectomy, 22.4% for immediate radical nephrectomy, and 23.7% for immediate thermal ablation. At a willingness-to-pay threshold of $100,000/quality-adjusted life-year, AS was the most cost-effective management strategy. The results were robust in univariate, multivariate, and probabilistic sensitivity analyses. Clinical decision analysis demonstrated that the tumor's metastatic potential, patient age, individual preferences, and health status were important factors influencing the optimal management strategy. Notably, if the annual probability of metastatic progression from AS was sufficiently low (under 0.35%-0.45% for most ages at baseline), consistent with the typical metastatic potential of SRMs <2 cm, AS would achieve higher health utilities than the other strategies. CONCLUSIONS: Compared to immediate intervention, AS with timely DI offers a safe and cost-effective approach to managing patients with SRMs. For patients harboring tumors of very low metastatic potential, AS may lead to better patient outcomes than immediate intervention.

Complications after open and robot-assisted radical prostatectomy and association with postoperative opioid use: an analysis of data from the PREVENTER trial.

OBJECTIVE: To evaluate perioperative complications for open radical prostatectomy (ORP) and robot-assisted RP (RARP) for patients enrolled in the PREvention of VENous ThromboEmbolism Following Radical Prostatectomy (PREVENTER; ClinicalTrials.gov Identifier: NCT03006562) trial, to determine predictors and impact on opioid consumption. PATIENTS AND METHODS: A prospective cohort of 500 patients undergoing ORP and RARP was followed to determine rates of complications and opioid use. Complications were classified 30 days after RP using the Clavien-Dindo system. Patient characteristics and outcomes were compared using appropriate statistical tests. Logistic and linear regressions were performed to identify predictors of complications and evaluate the relationship between complications and postoperative opioid use. RESULTS: A total of 124 (24.8%) men underwent ORP and 376 (75.2%) RARP, with 418 (83.6%) receiving pelvic lymph node dissection (PLND). While 83 patients (16.6%) had complications, only 19 (3.8%) were major (Clavien-Dindo Grade ≥III), with no differences by surgical approach. PLND (odds ratio [OR] 2.96, 95% confidence interval [CI] 1.25-8.71; P = 0.03) and Stage pT3b (OR 2.76, 95% CI 1.23-6.00;P = 0.01) were the only predictors of complications after controlling for potential confounders. Patients who had complications had greater inpatient (P = 0.02) and outpatient (P = 0.005) opioid use, which persisted after controlling for patient-reported pain, attending surgeon variation, surgical approach, and undergoing PLND (inpatient ß:77.2, 95% CI 17.9-136.5,P = 0.03; and outpatient ß:21.9, 95% CI 4.7-39.1,P = 0.01). CONCLUSION: In an analysis of prospectively collected data, overall and major complications rates did not differ by surgical approach. Patients receiving PLND and with Stage pT3b disease had more complications. Complications were independently associated with higher inpatient and outpatient postoperative opioid use.

A micro-costing analysis of outpatient flexible cystoscopy: implications for adoption of single-use flexible cystoscopes.

PURPOSE: To evaluate the total cost of outpatient flexible cystoscopy associated with reusable device purchase, maintenance, and reprocessing, and to assess potential cost benefits of single-use flexible cystoscopes. METHODS: Cost data regarding the purchasing, maintaining, and reprocessing of reusable flexible cystoscopes were collected using a micro-costing approach at a high-volume outpatient urology clinic. We estimated the costs to facilities with a range of annual procedure volumes (1000-3000) performed with a fleet of cystoscopes ranging from 10 to 25. We also compared the total cost per double-J ureteral stent removal procedure performed using single-use flexible cystoscopes versus reusable devices. RESULTS: The cost associated with reusable flexible cystoscopes ranged from $105 to $224 per procedure depending on the annual procedure volume and cystoscopes available. As a practice became more efficient by increasing the ratio of procedures performed to cystoscopes in the fleet, the proportion of the total cost due to cystoscope reprocessing increased from 22 to 46%. For ureteral stent removal procedures, the total cost per procedure using reusable cystoscopes (range $165-$1469) was higher than that using single-use devices ($244-$420), unless the annual procedure volume was sufficiently high relative to the number of reusable cystoscopes in the fleet (≥ 350 for a practice with ten reusable cystoscopes, ≥ 700 for one with 20 devices). CONCLUSION: The cost of reprocessing reusable cystoscopes represents a large fraction of the total cost per procedure, especially for high-volume facilities. It may be economical to adopt single-use cystoscopes specifically for stent removal procedures, especially for lower-volume facilities.

A prospective comparative study of routine versus deferred pelvic drain placement after radical prostatectomy: impact on complications and opioid use.

PURPOSE: To evaluate the association of post-RP drain placement with post-operative complications and opioid use at a high-volume institution. METHODS: A prospective, comparative cohort study of patients undergoing robot-assisted or open RP was conducted. Patients for two surgeons did not routinely receive pelvic drains ("No Drain" arm), while the remainder routinely placed drains ("Drain" arm). Outcomes were evaluated at 30 days including Clavien-Dindo complications and opioid use. Intention-to-treat primary analysis and additional secondary analyses were performed using appropriate statistical tests and logistic regression. RESULTS: Of 498 total patients, 144 (28.9%) were in the No Drain arm (all robot-assisted) and 354 (71.1%) in the Drain arm. In the No Drain arm, 19 (13.2%) intraoperatively were chosen to receive drains. There was no difference in overall or major (Clavien ≥ 3) complications between groups (p = 0.2 and 0.4, respectively). Drain deferral did not predict complications on multivariable analysis adjusted for age, BMI, comorbidities, clinical risk, surgical approach, operating time, lymphadenectomy, and number of nodes removed [OR 0.61, 95% CI 0.34-1.11, p = 0.10]; nor did it predict symptomatic fluid collection, adjusting for lymphadenectomy and nodes removed [OR 1.14, 95% CI 0.43-3.60, p = 0.8]. Drain deferral did not decrease opioid use (p = 0.5). Per protocol analysis and restriction to robot-assisted cases demonstrated similar results. CONCLUSION: There was no difference in adverse events, complications, symptomatic collections, or opioid use with deferral of routine drain placement after RP. Experienced surgeons may safely defer drain placement in the majority of robot-assisted RP cases.

Binary Neural Network for Automated Visual Surface Defect Detection.

As is well-known, defects precisely affect the lives and functions of the machines in which they occur, and even cause potentially catastrophic casualties. Therefore, quality assessment before mounting is an indispensable requirement for factories. Apart from the recognition accuracy, current networks suffer from excessive computing complexity, making it of great difficulty to deploy in the manufacturing process. To address these issues, this paper introduces binary networks into the area of surface defect detection for the first time, for the reason that binary networks prohibitively constrain weight and activation to +1 and -1. The proposed Bi-ShuffleNet and U-BiNet utilize binary convolution layers and activations in low bitwidth, in order to reach comparable performances while incurring much less computational cost. Extensive experiments are conducted on real-life NEU and Magnetic Tile datasets, revealing the least OPs required and little accuracy decline. When classifying the defects, Bi-ShuffleNet yields comparable results to counterpart networks, with at least 2× inference complexity reduction. Defect segmentation results indicate similar observations. Some network design rules in defect detection and binary networks are also summarized in this paper.

Downgrading of grade group 2 intermediate-risk prostate cancer from biopsy to radical prostatectomy: Comparison of outcomes and predictors to identify potential candidates for active surveillance.

BACKGROUND: A proportion of men with grade group (GG) 2 intermediate risk (IR) prostate cancer are downgraded to GG1 or harbor favorable pathology (FP, defined as GG1 or GG2 with <5% Gleason pattern 4) at radical prostatectomy (RP). Prediction of downgrading or FP may help identify potential active surveillance candidates within this group that have outcomes similar to biopsy low-risk (LR) disease. METHODS: We performed a comparative cohort study of biopsy LR and IR men who underwent RP at The Johns Hopkins Hospital and Bayview Medical Center between 2005 and 2018. We evaluated pathological outcomes at RP and recurrence-free survival (RFS). Multivariable logistic regression and Cox proportional hazards regression were applied and individual predicted probabilities were calculated. RESULTS: Among 2943 biopsy GG2 IR patients, 223 (7.6%) were downgraded to GG1, while 525 (17.8%) had FP; 730 of 1325 biopsy LR patients (55.1%) were upgraded (GG >1). Concordance statistics for final predictive regression models were 0.76 for downgrading and 0.70 for upgrading. Biopsy GG2 IR patients downgrading to GG1 or harboring FP had similar RFS to biopsy LR patients. A cutoff of >10% predicted probability of downgrading (24.7% of patients; hazard ratio [HR], 1.55; 95% CI, 0.89-2.68) or >20% predicted probability of FP (37.0% of patients; HR, 1.35; 95% CI, 0.81-2.24) led to similar RFS to biopsy LR patients. CONCLUSION: GG2 IR patients who experience downgrading or harbor FP had similar oncologic outcomes as LR patients. The developed models may serve as tools to inform patients about the risks of pathological downgrading/upgrading and help identify a segment of GG2 IR patients who would consider pursuing active surveillance based on predicted probability cutoffs.

Optimal Rates for Phylogenetic Inference and Experimental Design in the Era of Genome-Scale Data Sets.

With the rise of genome-scale data sets, there has been a call for increased data scrutiny and careful selection of loci that are appropriate to use in an attempt to resolve a phylogenetic problem. Such loci should maximize phylogenetic information content while minimizing the risk of homoplasy. Theory posits the existence of characters that evolve at an optimum rate, and efforts to determine optimal rates of inference have been a cornerstone of phylogenetic experimental design for over two decades. However, both theoretical and empirical investigations of optimal rates have varied dramatically in their conclusions: spanning no relationship to a tight relationship between the rate of change and phylogenetic utility. Herein, we synthesize these apparently contradictory views, demonstrating both empirical and theoretical conditions under which each is correct. We find that optimal rates of characters-not genes-are generally robust to most experimental design decisions. Moreover, consideration of site rate heterogeneity within a given locus is critical to accurate predictions of utility. Factors such as taxon sampling or the targeted number of characters providing support for a topology are additionally critical to the predictions of phylogenetic utility based on the rate of character change. Further, optimality of rates and predictions of phylogenetic utility are not equivalent, demonstrating the need for further development of comprehensive theory of phylogenetic experimental design. [Divergence time; GC bias; homoplasy; incongruence; information content; internode length; optimal rates; phylogenetic informativeness; phylogenetic theory; phylogenetic utility; phylogenomics; signal and noise; subtending branch length; state space; taxon and character sampling.].

Management of Chronic Bacterial Prostatitis.

PURPOSE OF REVIEW: We conducted a review of the literature describing the most up-to-date diagnosis and treatment options of chronic bacterial prostatitis. RECENT FINDINGS: Recurrence after oral antimicrobial therapy is common, due in part to the rising rates of antimicrobial resistance and inability to completely clear the offending bacteria from the prostate following prostatitis. Recent literature has described various treatment options for chronic bacterial prostatitis refractory to conventional antimicrobial agents, including the use of alternative agents such as fosfomycin, direct antimicrobial injections into the prostate, surgical removal of infected prostatic tissue, chronic oral antibiotic suppression, and an emerging novel therapy utilizing bacteriophages to target antibiotic resistant bacteria. Management of chronic bacterial prostatitis, especially recurrence after oral antimicrobial treatment, remains challenging. This review highlights an urgent need for further evidence assessing the efficacy and safety of treatment modalities for chronic bacterial prostatitis refractory to conventional oral antimicrobials.

National trends in hydroxyurea and opioid prescribing for sickle cell disease by office-based physicians in the United States, 1997-2017.

PURPOSE: To identify trends in physician drug prescribing practices for sickle cell disease (SCD). METHODS: We used data from the National Disease and Therapeutic Index to evaluate medications prescribed to children (definition: aged 19 years or younger) and adults (20 years or older) with SCD by office-based physicians in the United States during 1997 to 2017. Prescriptions were evaluated in 3-year intervals. RESULTS: The proportion of SCD visits that included new/continued hydroxyurea prescriptions increased from less than or equal to 8% before 2009 to 33% in 2015 to 2017. The increase was significant in visits by children (2.5% in 1997-1999 to 47% in 2015-2017; P = .003 by Spearman's rank-order correlation) but not in adults (6.9% to 11%; P = .12). Opioids, started/continued in 13% (lowest 3-year average) to 35% (highest) of visits by children and 55% to 81% of visits by adults, remained the most frequently prescribed medications for SCD overall. There were no significant changes over time in opioid prescribing for adults (P = .64) or children (P = .38). Hematologists/oncologists accounted for a higher proportion of visits by children (67.2% over 1997-2017) than adults (25.2%), while emergency medicine visits were higher in adults (14.0%) than children (2.6%). CONCLUSIONS: This study suggests a robust increase in hydroxyurea prescribing for children with SCD. The BABY HUG trial, which demonstrated safety and efficacy of starting hydroxyurea in infancy and informed current SCD guidelines recommending broader use in children, may have contributed to this increase. However, hydroxyurea prescribing for adults remains infrequent and considerably lower than opioids. Barriers in access to specialist care persist for adults with SCD.

Integrative Analysis of Expression Profiles of MicroRNAs and mRNAs in Treatment of Acute Myocardial Infarction with Compound Longmaining Decoction.

BACKGROUND This study identified microRNAs (miRNAs) and mRNAs associated with Compound Longmaining (CLMN) treatment of acute myocardial infarction (AMI). Our results provide a theoretical framework to guide AMI treatment and improve myocardial injury. MATERIAL AND METHODS The myocardial tissues of the sham operation group (S), the model group (M), and the CLMN treatment group (T) were obtained. The mRNA and miRNA expression profiles were identified using RNA-sequencing analysis. The sequencing results were verified by quantitative real-time PCR (qRT-PCR). Bioinformatics was used to predict the function of differentially expressed genes (DEGs) and related signal transduction pathways. The target genes of miRNAs were predicted by software analysis, and the relationship between miRNA and mRNA was studied by network analysis. RESULTS RNA-sequencing revealed 22 differentially expressed miRNAs (DEMs) and 76 DEGs in myocardial tissue. Six DEMs and 9 DEGs were randomly selected for qRT-PCR validation, and corroborating results were obtained. The results of Gene ontology (GO) showed that DEGs participated in different biological processes. Through the combined analysis of miRNAs and mRNAs expression, it was confirmed that a single miRNA is involved in the regulation of multiple genes, and also multiple miRNAs can target one gene. CONCLUSIONS The analysis based on the miRNA-mRNA network can not only help to elucidate the potential molecular mechanism of CLMN treatment of AMI, but can also help in identifying novel therapeutic targets.

Utility of characters evolving at diverse rates of evolution to resolve quartet trees with unequal branch lengths: analytical predictions of long-branch effects.

BACKGROUND: The detection and avoidance of "long-branch effects" in phylogenetic inference represents a longstanding challenge for molecular phylogenetic investigations. A consequence of parallelism and convergence, long-branch effects arise in phylogenetic inference when there is unequal molecular divergence among lineages, and they can positively mislead inference based on parsimony especially, but also inference based on maximum likelihood and Bayesian approaches. Long-branch effects have been exhaustively examined by simulation studies that have compared the performance of different inference methods in specific model trees and branch length spaces. RESULTS: In this paper, by generalizing the phylogenetic signal and noise analysis to quartets with uneven subtending branches, we quantify the utility of molecular characters for resolution of quartet phylogenies via parsimony. Our quantification incorporates contributions toward the correct tree from either signal or homoplasy (i.e. "the right result for either the right reason or the wrong reason"). We also characterize a highly conservative lower bound of utility that incorporates contributions to the correct tree only when they correspond to true, unobscured parsimony-informative sites (i.e. "the right result for the right reason"). We apply the generalized signal and noise analysis to classic quartet phylogenies in which long-branch effects can arise due to unequal rates of evolution or an asymmetrical topology. Application of the analysis leads to identification of branch length conditions in which inference will be inconsistent and reveals insights regarding how to improve sampling of molecular loci and taxa in order to correctly resolve phylogenies in which long-branch effects are hypothesized to exist. CONCLUSIONS: The generalized signal and noise analysis provides analytical prediction of utility of characters evolving at diverse rates of evolution to resolve quartet phylogenies with unequal branch lengths. The analysis can be applied to identifying characters evolving at appropriate rates to resolve phylogenies in which long-branch effects are hypothesized to occur.

Discovery of xanthine oxidase inhibitors and/or α-glucosidase inhibitors by carboxyalkyl derivatization based on the flavonoid of apigenin.

Three series of apigenin derivatives have been prepared by coupling the carboxyl alkyl group to 4'-, 5- or 7-hydroxyl groups of apigenin respectively. Preliminary biological evaluation in vitro revealed that xanthine oxidase inhibitory activity was improved by modifications at 4'-position and decreased by similar modifications at 5-, 7-positions while α-glucosidase inhibitory activity was maintained by modifications at 5-, 7-positions but lost by modifications at 4'-position. Administration (ip) of 7e markedly lowered serum uric acid levels in potassium oxonate induced hyperuricemic mouse model and administration (p.o.) of 11d or 11e effectively suppressed the elevation of serum glucose in the oral sucrose tolerance test in mice, while apigenin were not significantly effective in both tests.

Providing prescheduled appointments as a strategy for improving follow-up compliance after community-based glaucoma screening: results from an urban underserved population.

To determine if receiving a prescheduled appointment is associated with an increased likelihood of complying with follow-up eye care among individuals identified as at risk for glaucoma during community-based glaucoma screening in an urban underserved population. This study sampled 362 individuals aged ≥30 years without known glaucoma from low-income, predominantly black/Hispanic neighborhoods in New Haven, Connecticut presenting to one of twelve community-based glaucoma screening events from May 2010 to October 2012. A quasi-experimental design systematically assigned 63 individuals identified as at risk for glaucoma into either intervention or control group with a 1:2 ratio. Individuals in the control group (n = 41) received counseling on glaucoma and a recommendation for obtaining a follow-up appointment at the eye department of a local community health center, which offers affordable health services with income-adjusted fee discounts to uninsured, low-income patients. Those in the intervention group (n = 22) received the same counseling and a prescheduled appointment at the community health center. The overall rate of follow-up compliance within 3 months of screening was 30 % (41 % in the intervention group; 24 % in the control group). Multivariate logistic regression analysis adjusting for sex, age, ethnicity, health insurance status, car access, living situation, and smoking status found that follow-up compliance was significantly associated with intervention (adjusted odds ratio 4.8; 95 % confidence interval 1.1-20.9). Providing prescheduled appointments can improve follow-up compliance after community-based glaucoma screening. This finding may be potentially applicable to community-based health screening for other preventable diseases.

Assessing Impact of Community Health Nurses on Improving Primary Care Use by Homeless/Marginally Housed Persons.

This study invited a cross-sectional sample of 112 homeless/marginally housed adults in New Haven, CT to respond to a structured survey questionnaire. Seventy-six individuals responded. Among them, 39 (51%) had utilized primary care services during the preceding 2 years. Multivariate logistic regression analysis adjusting for age, sex, ethnicity, housing status, health insurance status, and self-reported health status found that having utilized primary care services was significantly associated with having regular contact with a community health nurse. This finding indicates that community health nurses may have a significant influence in increasing primary care service utilization by homeless and marginally housed individuals.

Advancing Real-World Image Dehazing: Perspective, Modules, and Training.

Restoring high-quality images from degraded hazy observations is a fundamental and essential task in the field of computer vision. While deep models have achieved significant success with synthetic data, their effectiveness in real-world scenarios remains uncertain. To improve adaptability in real-world environments, we construct an entirely new computational framework by making efforts from three key aspects: imaging perspective, structural modules, and training strategies. To simulate the often-overlooked multiple degradation attributes found in real-world hazy images, we develop a new hazy imaging model that encapsulates multiple degraded factors, assisting in bridging the domain gap between synthetic and real-world image spaces. In contrast to existing approaches that primarily address the inverse imaging process, we design a new dehazing network following the "localization-and-removal" pipeline. The degradation localization module aims to assist in network capture discriminative haze-related feature information, and the degradation removal module focuses on eliminating dependencies between features by learning a weighting matrix of training samples, thereby avoiding spurious correlations of extracted features in existing deep methods. We also define a new Gaussian perceptual contrastive loss to further constrain the network to update in the direction of the natural dehazing. Regarding multiple full/no-reference image quality indicators and subjective visual effects on challenging RTTS, URHI, and Fattal real hazy datasets, the proposed method has superior performance and is better than the current state-of-the-art methods. See more results: https://github.com/fyxnl/KA Net.