Screening of malnutrition using Patient‐Generated Subjective Global Assessment tool and hand muscle strength in subjects with pancreatitis

BackgroundPancreatitis patients are at an increased risk of malnutrition due to impaired digestion, absorption, and metabolism. The degree of malnutrition is dependent on the duration, viz. acute or chronic. Studies on nutritional status in patients with pancreatitis are limited. Prevalence of nutritional status, physical functioning, and muscle strength among the subjects are scarce globally. The main aim of this study was to screen the status of malnutrition using appropriate screening tools and to assess hand muscle strength among subjects.MethodA cross‐sectional study was conducted on 64 subjects (18–80 years old, 59 males and 5 females) in Mysore city, Karnataka. The patients were screened for malnutrition using a standard tool Patient‐Generated Subjective Global Assessment (PG‐SGA) and handgrip strength on both dominant and nondominant hands.ResultsThe majority of patients (n = 44) were categorized as moderately malnourished/suspected malnutrition (Stage B) according to PG‐SGA. A significant difference (p < 0.005) in handgrip strength was seen in men aged 31–40 (t = −3.287) and 41–50 (t = −5.487) years compared to healthy adults.ConclusionThis study was able to identify patients at risk of malnutrition when the PG‐SGA tool was used along with handgrip strength and other anthropometric parameters.     

Altered asymmetries of resting‐state MRI in the left thalamus of first‐episode schizophrenia

BackgroundSchizophrenia (SCZ) is a complex psychiatric disorder associated with widespread alterations in the subcortical brain structure. Hemispheric asymmetries are a fundamental organizational principle of the human brain and relate to human psychological and behavioral characteristics. We aimed to explore the state of thalamic lateralization of SCZ.MethodsWe used voxel‐based morphometry (VBM) analysis, whole‐brain analysis of low‐frequency fluctuations (ALFF), fractional amplitude of low‐frequency fluctuations (fALFF), and resting‐state seed‐based functional connectivity (FC) analysis to investigate brain structural and functional deficits in SCZ. Also, we applied Pearson''s correlation analysis to validate the correlation between Positive and Negative Symptom Scale (PANSS) scores and them.ResultsCompared with healthy controls, SCZ showed increased gray matter volume (GMV) of the left thalamus (t = 2.214, p = 0.029), which positively correlated with general psychosis (r = 0.423, p = 0.010). SCZ also showed increased ALFF in the putamen, the caudate nucleus, the thalamus, fALFF in the nucleus accumbens (NAc), and the caudate nucleus, and decreased fALFF in the precuneus. The left thalamus showed significantly weaker resting‐state FC with the amygdala and insula in SCZ. PANSS negative symptom scores were negatively correlated with the resting‐state FC between the thalamus and the insula (r = −0.414, p = 0.025).ConclusionsCollectively, these results suggest the possibility of aberrant laterality in the left thalamus and its FC with other related brain regions involved in the limbic system.     

Recombinant human erythropoietin accelerated the proliferation of non‐small cell lung cancer cell lines and reduced the expression of VEGF,HIF‐1α, and PD‐L1 under a simulated hypoxic environment in vitro

BackgroundAs erythropoietin (EPO) has been used to treat anemia in cancer patients, negative controversy has continued. Unfortunately, its effects on non‐small‐cell lung carcinoma (NSCLC) cell lines are uncertain and the phenomenon of inducing immune escape of tumor cells remains to be explored. This study aimed to provide an important basis for the application of exogenous EPO in the treatment of tumor‐associated anemia.MethodsCells were cultured in 1% O₂, 5% CO₂, and 94% N₂ to simulate a hypoxic environment of the tumor. A549 cell line (lower expression EPOR) and NCI‐H838 cell line (higher expression EPOR) were treated with 2 and 8 U/ml recombinant human EPO (rhEPO). CCK‐8 method was used to determine the logarithmic growth phase of the cells and to detect cell proliferation. The expression levels of VEGF, HIF‐1α, and PD‐L1 were determined by western blot. One‐way ANOVA was used for statistical analysis between groups, with p < 0.05 indicating a significant difference.ResultsHypoxia itself could decrease the survival rate of NSCLC cells. Under the hypoxic condition, rhEPO induced tumor cells proliferation, especially in the NCI‐H838 cell line, where 2 U/ml rhEPO increased the total number of surviving cells (Hypoxia + rhEPO 2 U/ml vs. Hypoxia, p < 0.05). Western blot analysis showed that hypoxia upregulated the expression of VEGF, HIF‐1α, and PD‐L1 in NSCLC cell lines (Normoxia vs. Hypoxia, p < 0.05), but may not be dependent on the expression levels of EPOR. RhEPO decreased the expression levels of VEGF and HIF‐1α. In the A549 cell line, it depended on the concentration of rhEPO and was particularly obvious in HIF‐1α (Hypoxia vs. Hypoxia + rhEPO 2 U/ml vs. Hypoxia + rhEPO 8 U/ml, p < 0.05). A low concentration of rhEPO may not reduce VEGF expression. In the NCI‐H838 cell line, the effect of rhEPO on VEGF was more obvious, but it may be independent of rhEPO concentrations. The downregulation of PD‐L1 expression by rhEPO was only presented in the A549 cell line and required higher rhEPO concentrations (Hypoxia + rhEPO 8 U/ml vs. Hypoxia&Hypoxia + rhEPO 2 U/ml, p < 0.05).ConclusionThe effect of prolonged high concentrations of rhEPO under hypoxic conditions resulted in accelerated cells proliferation of non‐small‐cell lung cancer and was independent of EPOR expression levels on the cell lines surface. Hypoxia resulted in increased expression of VEGF, HIF‐1α, and PD‐L1 on the NSCLC cell lines. Under normoxic conditions, rhEPO did not affect the expression of VEGF, HIF‐1α, and PD‐L1; but under hypoxic conditions, the application of rhEPO reduced the expression of VEGF, HIF‐1α, and PD‐L1, producing an impact on the biological behavior of tumor cells.     

Cognitive deficiency,parental relationship,and coping strategies are related with anxiety and depression among parents of children with epilepsy

BackgroundThe diagnosis of epilepsy in a child often and understandably causes psychological adjustment difficulties in the parents. To help parents of children with epilepsy cope with stress, it is important to understand how parents cope with the sickness of their child. The objective of this study was to assess factors related to the state of anxiety and depression among parents of children with epilepsy.MethodsThe present study was a cross‐sectional study, and the data were collected through an anonymous, Internet‐based survey platform between October 2018 and October 2019 from 250 participants aged 22–65 years. Participants were invited to fill questionnaires include socioeconomic questionnaire, anxiety, depression, and coping strategies scale.ResultAmong the parents of children with epilepsy, 48.8% (122/250) had depressive symptoms (Patient Health Questionnaire‐9 [PHQ‐9] score >4) and 46.4% (116/250) had anxiety symptoms (7‐item Generalized Anxiety Disorder [GAD‐7] score >5). Depression among parents of children with epilepsy was significantly associated with comorbidity (odds ratio [OR] = 0.392, 95% CI = 0.182–0.846), a poor parental relationship (OR = 0.283, 95% CI = 0.130–0.614), positive coping (OR = 0.947, 95% CI = 0.903–0.992), and negative coping (OR = 1.287, 95% CI = 1.179–1.405). Anxiety among parents of children with epilepsy was significantly associated with a poor parental relationship (OR = 0.416, 95% CI = 0.207–0.835) and negative coping (OR = 1.155, 95% CI = 1.087–1.228).ConclusionsThe present study indicates the importance of couple support and providing effective coping to make parents of children with epilepsy more resilient in the presence of negative life events, especially for parents of children with comorbidity with cognitive deficiency.     

Epidemiology of biopsy‐proven glomerular diseases in Chinese children: A scoping review

BackgroundGlomerular disease is the leading cause of chronic kidney disease globally. No scoping review reports have focused on China''s spectrum of glomerular diseases in children. This study aimed to systematically identify and describe retrospective studies on pediatric glomerular disease based on available data on sex, age, study period, and region.MethodsSix databases were systematically searched for relevant studies from initiation to December 2021 in PubMed, Embase, Web of Science, Global Health Library, Wangfang Database, and CNKI.ResultsThirty‐four studies were identified in the scoping review, including 40,430 patients with biopsy‐proven diagnoses. The proportion of boys was significantly higher than that of girls. In this study, 28,280 (70%) cases were primary glomerular disease, 10,547 (26.1%) cases were diagnosed as secondary glomerular disease, and 1146 (2.8%) cases were hereditary glomerular disease. Minimal change disease is the most common glomerular disease among children in China, followed by mesangial proliferative glomerulonephritis, IgA nephropathy, and purpura nephritis. We observed increments in glomerular diseases in periods 2 (2001–2010) and 3 (2011–2021). The proportion of major glomerular diseases varies significantly in the different regions of China.ConclusionThe spectrum of pediatric glomerular diseases varied across sex, age groups, study periods, and regions, and has changed considerably over the past 30 years.     

Respiratory questionnaire‐based analysis of awareness of COPD in a large multicenter rural population‐based study in India

BackgroundChronic obstructive pulmonary disease (COPD) is a more prevalent chronic lung disease with a significant health burden, and the majority of these cases receive inadequate treatment.MethodsProspective, observational, interview (questionnaire) based complete workup COPD study, screened 12,000 cases with chronic respiratory symptoms with cough, sputum production, and shortness of breath. A total of 6000 COPD cases were enrolled after the spirometry test. COPD cases were assessed as disease knowledge and methods of treatment offered by applying questionnaires to patients and treating physicians.ResultsIn the present study, 3% of study cases were aware of their COPD illness, 54% were not having knowledge about the disease, and 43% cases were not accepting the COPD diagnosis (p < 0.0001). A total of 58% of cases received inhalation treatment as levosalbutamol monotherapy in 31% cases, levosalbutamol plus beclometasone in 18% cases, and formoterol plus budesonide or salmeterol plus fluticasone only in 9% of COPD cases (p < 0.0001). Total 42% cases received oral treatment as theophylline in 16% cases, salbutamol in 7% cases, oral steroids in 19% cases (p < 0.0001).Conclusion“Doctor–patient–drug trio” discordance clubbed as “difficult doctor, difficult patient, and difficult treatment” is a very crucial issue observed during diagnosis and management of COPD in peripheral settings in India.     

Changes in body composition in relation to estimated glomerular filtration rate and physical activity in predialysis chronic kidney disease

BackgroundEarly body composition changes, associated with physical inactivity and disease advancement are devastating for patient‐related outcomes in predialysis chronic kidney disease (CKD), thus warranting a detailed analysis of body composition beyond conventional measures.MethodsThe study included 40 subjects diagnosed with CKD; recruited between January to May 2021. Body composition was measured using the multifrequency analyzer, InBody 770. International Physical Activity Questionnaire‐Short Form was used to assess physical activity. Suitable statistical analyses were performed using SPSS 21.0.ResultsThe mean age of the subjects was 58.68 ± 12.24 years. Sarcopenic obesity was prevalent in 62.5% of the subjects. Body mass index under identified obesity by 15% compared to percent body fat, especially in subjects with low muscle mass. The decline in a unit of estimated glomerular filtration rate (eGFR) significantly correlated with a decrease in weight (p = 0.02), body fat mass (p = 0.05), visceral fat area (p = 0.05), and phase angle (p = 0.01) with marginal changes in waist–hip ratio and extracellular water/total body water. The effect of physical activity on skeletal muscle mass was homogeneous between low and moderate levels, but significantly different from high activity level.ConclusionChanges in fat and fluid compartment were associated with eGFR decline, whereas higher physical activity positively affected body composition.     

Integrated statistical and machine learning analysis provides insight into key influencing symptoms for distinguishing early‐onset type 2 diabetes

BackgroundBeing able to predict with confidence the early onset of type 2 diabetes from a suite of signs and symptoms (features) displayed by potential sufferers is desirable to commence treatment promptly. Late or inconclusive diagnosis can result in more serious health consequences for sufferers and higher costs for health care services in the long run.MethodsA novel integrated methodology is proposed involving correlation, statistical analysis, machine learning, multi‐K‐fold cross‐validation, and confusion matrices to provide a reliable classification of diabetes‐positive and ‐negative individuals from a substantial suite of features. The method also identifies the relative influence of each feature on the diabetes diagnosis and highlights the most important ones. Ten statistical and machine learning methods are utilized to conduct the analysis.ResultsA published data set involving 520 individuals (Sylthet Diabetes Hospital, Bangladesh) is modeled revealing that a support vector classifier generates the most accurate early‐onset type 2 diabetes status predictions with just 11 misclassifications (2.1% error). Polydipsia and polyuria are among the most influential features, whereas obesity and age are assigned low weights by the prediction models.ConclusionThe proposed methodology can rapidly predict early‐onset type 2 diabetes with high confidence while providing valuable insight into the key influential features involved in such predictions.     

Advancement of deep learning in pneumonia/Covid‐19 classification and localization: A systematic review with qualitative and quantitative analysis

Around 450 million people are affected by pneumonia every year, which results in 2.5 million deaths. Coronavirus disease 2019 (Covid‐19) has also affected 181 million people, which led to 3.92 million casualties. The chances of death in both of these diseases can be significantly reduced if they are diagnosed early. However, the current methods of diagnosing pneumonia (complaints + chest X‐ray) and Covid‐19 (real‐time polymerase chain reaction) require the presence of expert radiologists and time, respectively. With the help of deep learning models, pneumonia and Covid‐19 can be detected instantly from chest X‐rays or computerized tomography (CT) scans. The process of diagnosing pneumonia/Covid‐19 can become faster and more widespread. In this paper, we aimed to elicit, explain, and evaluate qualitatively and quantitatively all advancements in deep learning methods aimed at detecting community‐acquired pneumonia, viral pneumonia, and Covid‐19 from images of chest X‐rays and CT scans. Being a systematic review, the focus of this paper lies in explaining various deep learning model architectures, which have either been modified or created from scratch for the task at hand. For each model, this paper answers the question of why the model is designed the way it is, the challenges that a particular model overcomes, and the tradeoffs that come with modifying a model to the required specifications. A grouped quantitative analysis of all models described in the paper is also provided to quantify the effectiveness of different models with a similar goal. Some tradeoffs cannot be quantified and, hence, they are mentioned explicitly in the qualitative analysis, which is done throughout the paper. By compiling and analyzing a large quantum of research details in one place with all the data sets, model architectures, and results, we aimed to provide a one‐stop solution to beginners and current researchers interested in this field.     

Grayscale image statistics of COVID‐19 patient CT scans characterize lung condition with machine and deep learning

BackgroundGrayscale image attributes of computed tomography (CT) of pulmonary scans contain valuable information relating to patients with respiratory ailments. These attributes are used to evaluate the severity of lung conditions of patients confirmed to be with and without COVID‐19.MethodFive hundred thirteen CT images relating to 57 patients (49 with COVID‐19; 8 free of COVID‐19) were collected at Namazi Medical Centre (Shiraz, Iran) in 2020 and 2021. Five visual scores (VS: 0, 1, 2, 3, or 4) are clinically assigned to these images with the score increasing with the severity of COVID‐19‐related lung conditions. Eleven deep learning and machine learning techniques (DL/ML) are used to distinguish the VS class based on 12 grayscale image attributes.ResultsThe convolutional neural network achieves 96.49% VS accuracy (18 errors from 513 images) successfully distinguishing VS Classes 0 and 1, outperforming clinicians’ visual inspections. An algorithmic score (AS), involving just five grayscale image attributes, is developed independently of clinicians’ assessments (99.81% AS accuracy; 1 error from 513 images).ConclusionGrayscale CT image attributes can be successfully used to distinguish the severity of COVID‐19 lung damage. The AS technique developed provides a suitable basis for an automated system using ML/DL methods and 12 image attributes.     

Countrywide cardiovascular disease prevention and control in 49 countries with different socio‐economic status

BackgroundCardiovascular disease (CVD) is the major noncommunicable disease (NCD) accounting for 17.9 million deaths. If current trends continue, the annual number of deaths from CVD will rise to 22.2 million by 2030. The United Nations General Assembly adopted a sustainable development goal (SDG) by 2030 to reduce NCD mortality by one‐third. The purpose of this study was to analyze the CVD mortality trends in different countries implementing World Health Organization (WHO) NCD Action Plan and emphasize effective ways to achieve SDG.MethodsWHO statistics, based on the Member‐States unified mortality and causes‐of‐death reports were used for analyzing trends and different interventions.ResultsReduction of CVD mortality from 2000 to 2016 in 49 countries was achieved for stroke at 43% and ischemic heart disease at 30%. Smoking prevalence and raised blood pressure (RBP) decreased in 84% and 55% of the countries. Eighty‐nine percent of high‐income countries (HIC) demonstrated a decline in tobacco smoking against 67% in middle‐income countries (MIC). Sixty‐nine percent of HIC demonstrated a decline in RBP against 15% in MIC. CVD management, tobacco, and unhealthy diet reduction measures are significantly better in HIC. The air pollution level was higher in MIC.ConclusionBuilding partnerships between countries could enhance their efforts for CVD prevention and successful achievement of SDG.     

Decrease with aging of the microcirculatory function of the lumbar vertebral marrow preceding the loss of bone material density and the onset of intervertebral discal degeneration: A study about the potential cause

ObjectiveUsing a dynamic computed tomographic perfusion (CTP) imaging method to explore the age-related distribution of the microcirculation perfusion function in the vertebral marrow, the bone material density (BMD), and the intervertebral discal degeneration (IDD). Further, to discuss a possible causation relationship between them.MethodsOne hundred and eighty-six people were randomly enrolled by stratified sampling and grouped by age: ≤15, 16–25, 26–35, 36–45, 46–55, 56–65, 66–75, and ≥76 years old. The average CTP and BMD of the third and fourth lumbar vertebrae marrow were measured and the IDD incidence of the third-fourth vertebrae was assessed. The temporal–spatial distribution patterns of the age-related changes of the CTP, BMD, and IDD were described, and the correlations between them were calculated.ResultsThe microcirculatory perfusion function of the vertebral marrow develops to maturity by 25 years and is maintained until age 35, then declines with aging. The BMD grew to a peak from 26 to 45 years old, then decreased yearly. The IDD showed a sudden increase after 45 years of age. The CTP [BF (r = 0.806, P = 0.000), BV (r = 0.685, P = 0.005) and PMB (r = 0.619, P = 0.001)] showed strong positive correlations and CTP [TTP (r = −0.211, P = 0.322) and MTT (r = −0.598, P = 0.002)] showed negative correlations with BMD. The CTP [BF (r = −0.815, P = 0.000), BV (r = −0.753, P = 0.000) and PMB (r = −0.690, P = 0.000)] had strong negative correlations, and CTP [TTP (r = 0.323, P = 0.126) and MTT (r = 0.628, P = 0.001)] had positive correlations with the incidence of IDD.ConclusionThe decrease with aging of the microcirculatory perfusion in the lumbar vertebral marrow preceded, and is a potential causative factor for the loss of BMD and the onset of IDD.     

Association of hemoglobin with arterial stiffness evaluated by carotid-femoral pulse wave velocity among Chinese adults

ObjectiveIncreased hemoglobin (Hb) levels are known to be associated with increased cardiovascular events and mortalities. Therefore, we assumed that high Hb levels were associated with arterial stiffness. Pulse wave velocity (PWV) is a simple and noninvasive method for measuring arterial stiffness to assess cardiovascular disease in general populations. Accordingly, we conducted a cross-sectional study to explore the association of Hb with PWV.MethodsA total of 6642 adults aged 54.5 ± 11.2 years undergoing physical examinations were enrolled, 71.7% of whom were males. Arterial stiffness was evaluated by carotid-femoral PWV (cfPWV). Multivariable regression analyses were performed to determine the relationship between Hb and increased cfPWV.ResultsIn this study, the mean Hb (per 10 g/L increase) was 144.7 ± 13.9 g/L, and the mean cfPWV was 15.1 ± 3.1 m/s. cfPWV was significantly higher in high hemoglobin groups ≥15.4 g/L (Quartile 4) than in the lowest hemoglobin group (Quartile 1 ≤ 13.6 g/L; P < 0.001). Multiple linear regression analysis revealed that Hb positively correlated with cfPWV (β = 0.16, P < 0.01). Univariate Logistic regression analysis revealed that Hb was associated with increased cfPWV, with an odd ratio (OR) of 1.46 (95% confidence interval [CI], 1.39–1.54). After adjusting for potential confounders, Hb and the highest Hb quartile group were also independently associated with increased cfPWV, with a fully adjusted OR of 1.11 (95% CI, 1.02–1.20) and 1.45 (95% CI, 1.01–2.08), respectively.ConclusionThis study demonstrated that Hb levels significantly correlate with increased cfPWV.     

Lifestyle intervention for gestational diabetes mellitus prevention: A?cluster-randomized controlled study

ObjectiveThe study was to examine whether gestational diabetes mellitus (GDM) can be prevented by early trimester lifestyle counseling in a high-risk population.MethodsFrom September 2012 to January 2013, 1664 pregnancies in the Department of Obstetrics and Gynecology of First Hospital of Peking University were enrolled in the study during their first prenatal care visit before the 8 gestational weeks visit and asked to fill out a questionnaire on GDM risk evaluation. According to the questionnaire and medical records, those with at least one risk factor of GDM were included in the intervention study and randomly allocated to two groups, intervention group and control group. Routine prenatal care was offered, while standardized two-step lifestyle intervention was provided to the intervention group during 6–8 gestational weeks, and at 12–13 gestational weeks, enforcement intervention based on maternal anthropometrics were offered. Both groups were followed until 75 g oral glucose tolerance test (OGTT) testing at 24–28 gestational weeks. The weight gain after intervention and the prevalence of GDM were used to evaluate the effect.Results(1) According to the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria, the positive rate of GDM for the intervention group was 17.16% (23/134), lower than the control group which was 23.91% (33/138), P = 0.168. (2) The weight gain during the first and second trimester for the intervention group was (1.38 ± 2.34) kg and (5.51 ± 2.18) kg, lower than in the control group which was (1.41 ± 2.58) kg and (5.66 ± 2.25) kg, (P = 0.905, P = 0.567). (3) Positive rate of GDM for those fasting plasma glucose (FPG) ≥5.1 mmol/L during early pregnancy was 11/36 (30.55%) for the intervention group that was lower than 17/37 (45.95%) for the control group, but the statistical difference was not significant (P = 0.076).ConclusionThe positive rate of GDM could be reduced by a certain amount lifestyle intervention from the beginning of pregnancy. More validated effective intervention should be explored in the high-risk pregnant women.     

Clinical analysis of retroperitoneoscopic nephroureterectomy for renal tuberculosis

ObjectivesTo explore the feasibility and safety of retroperitoneoscopic nephroureterectomy for kidney tuberculosis.MethodsForty-eight retroperitoneoscopic nephroureterectomies and thirty-five nephroureterectomies for kidney tuberculosis procedures were performed from June 2008 to December 2014. The patients consisted of 53 males and 30 females with a mean age of 36 years (range: 26–51 years). The patients'' data were reviewed and analyzed.ResultsThe retroperitoneoscopic nephroureterectomy procedures were completed successfully in 48 cases with no conversions to open surgery. The mean operating time was 170 minutes (range: 121–258 minutes), the mean blood loss was 110 ml (range: 70–250 ml), and the mean hospital stay was 5.70 days (range: 5–14 days); these were all much less than nephroureterectomy procedures (P < 0.05). A total of five minor complications (10.4%) occurred, injury to the peritoneum was observed in three patients, and infection at the incision site was observed in two patients, there were no obvious difference between the two surgical methods (P > 0.05). Seventy-five patients were followed up, and the average follow-up time was 12.5 months (range: 6–20 months). All the patients recovered without any lesions remaining.ConclusionsThe results of this study indicate that retroperitoneoscopic nephroureterectomy is a feasible, safe, effective, and less invasive treatment modality for treating renal tuberculosis.     

Polymer-free versus permanent polymer drug eluting stents in coronary artery disease: A meta-analysis of 10 RCTs with 6575 patients

BackgroundPermanent polymer drug eluting stents (PP-DES) may induce inflammation of the vessel wall due to the existence of the polymer, which may delay intimal healing. Polymer-free DES (PF-DES) that eliminate the polymeric carrier may potentially lead to safer DES. However, the safety and efficacy of PF-DES remains controversial.MethodsRandomized controlled trials comparing PF-DES with PP-DES were searched in online database including MEDLINE, Excerpta Medica Database (EMBASE) and Cochrane Library. Studies reporting late lumen loss (LLL), all-cause death, myocardial infarction (MI), target lesion revascularization (TLR) and late stent thrombosis (LST) were enrolled and quantitatively analyzed.ResultsTen studies enrolling 6575 patients were included in this meta-analysis. The PF-DES showed a benefit in reducing all-cause death (OR = 0.77, 95% CI: 0.61 to 0.98, P = 0.03) and long-term LLL (weighted mean difference (WMD) −0.16 mm, 95% CI: −0.22 to −0.11 mm, P < 0.001), while no superiority was found in reducing short-term LLL (WMD 0.03 mm, 95% CI: −0.07–0.13 mm, P = 0.57), MI (OR = 1.12, 95% CI: 0.19 to 23.18, P = 0.39), TLR (OR = 1.19, 95% CI: 0.42 to 3.38, P = 0.83) and LST (OR = 0.92, 95% CI: 0.05 to 5.71, P = 0.74).ConclusionPF-DES showed benefits in reducing long-term LLL and mortality compared with PP-DES, but no superiority was found in short-term LLL, MI, TLR and LST. These findings provide a sound basis for the wide application of PF-DES in the future.     

Short- and long-term outcomes of kidney transplants with kidneys lavaged by retrograde perfusion technique

ObjectiveTo evaluate the clinical safety and efficacy of the retrograde perfusion technique in kidney transplantation.MethodsBetween January 2001 and June 2011, 24 cases of kidney transplantation with kidneys perfused using the retrograde perfusion technique due to renal artery variations or injury were selected as the observation group (retrograde perfussion group, RP group). Twenty-two cases of kidney transplantation via conventional perfusion were chosen as the control group (antegrade perfussion group, AP group). There were no statistically significant differences in donor data between the two groups. Cold ischemia time, warm ischemia time, renal perfusion time, amount of perfusion fluid, acute renal tubular necrosis, wound infection, urinary fistula, graft kidney function, and the 1-year, 3-year, and 5-year survival rates for the grafted kidney in both groups were observed and recorded.ResultsThe kidney perfusion time was shorter in the RP group than that in the AP group (3.14 ± 1.00 vs. 5.02 ± 1.15 min, P = 0.030). There were 10 cases of acute renal tubule necrosis in the RP group and 5 in the AP group. The length of hospital stay was 40 ± 14 d in the RP group and 25 ± 12 d in the AP group. The follow-up time was 3.5–8.5 years (mean 6.25 years). The 1-, 3-, and 5-year survival rates for the grafted kidney were 95.8%, 75.5%, and 65.5% in the RP group and 97.1%, 82.5%, and 68.4% in the AP group, respectively (P>0.05).ConclusionsThis study indicates that retrograde perfusion is safe and practicable for cadaveric kidney harvesting and can be regarded as a better alternative or remedial measure for a poorly perfused kidney due to vascular deformity or injury.     

A meta-analysis of the prognosis in patients with breast cancer with ipsilateral supraclavicular lymph node metastasis versus patients with stage IIIb/c or IV breast cancer

ObjectiveTo systematically evaluate the prognosis in patients with breast cancer with ipsilateral supraclavicular lymph node metastasis (SLNM) versus patients with stage IIIb/c or IV breast cancer, so as to provide evidence for clinical practice and research.MethodsComputer retrieval from PubMed, Cochrane Libratory, CNKI (China National Knowledge Infrastructure), CBM and Wanfang Database with the assistance of other retrieval tools. All the studies evaluating the prognosis in patients with breast cancer with ipsilateral supraclavicular lymph node metastasis versus patients with stage IIIb/c or IV breast cancer were collected. Quality assessment was performed for the included data based on the quality assessment criteria appropriate for this study. Meta-analysis was performed using RevMan 5.3 software.ResultsA total of four references (1277 patients) were included. Assessment of influences on prognosis: As compared to the stage IIIb/c group, the 5-year survival rate was slightly lower in the SLNM group (relative risk (RR) 0.79; 95% confidence interval (CI) 0.59–1.06; Z = 1.55, P = 0.12), but there was no statistical significance; in contrast, the 5-year survival rate was significantly increased in the SLNM group as compared to the stage IV group (RR = 2.70; 95%CI: 1.36–5.37; Z = 2.84, P = 0.005). As compared to the stage IIIb/c group, the 5-year disease-free survival rate was lower in the SLNM group (RR = 0.65; 95%CI: 0.40–1.05; Z = 1.75, P = 0.08); however, there was no statistical significance.ConclusionsIn patients with advanced breast cancer receiving combined therapy, the prognosis in patients with breast cancer with ipsilateral SLNM was significantly better than in those with stage IV breast cancer, and slightly worse than those with stage IIIb/c breast cancer. However, with the scarcity and poor quality of these observational studies, the long-term prognosis remains to be further verified in large-sample, high-quality studies.     

Identifying at-risk foot among hospitalized patients with type 2 diabetes: A cross-sectional study in one Chinese tertiary hospital

ObjectiveTo investigate the prevalence of diabetic at-risk foot and its associated factors.MethodsA total of 838 hospitalized patients with type 2 diabetes were screened for at-risk foot. Neural and vascular disorders were evaluated by assessing vibration perception thresholds and ankle brachial indexes (ABIs). After excluding 12 patients with abnormally high ABIs, remaining individuals with neural and/or vascular disorder were identified as at-risk patients and further classified into three subtypes: isolated neural disorder, isolated vascular disorder and mixed disorder. Potential associated factors were examined using Logistic regression models.ResultsIn the final sample of 826 individuals, the prevalence of diabetic at-risk foot was 30.6%. Among all at-risk patients, isolated neural disorders (69.6%) were more common than mixed (16.2%) or isolated vascular disorders (14.2%). Isolated neural and vascular disorders shared specific risk factors, including age per 20-year increment (odds ratio [95% CI], 3.73 [2.59–5.37] and 4.01 [1.98–8.11]), diabetic duration ≥10 years (1.69 [1.13–2.54] and 3.29 [1.49–7.24]) and systolic blood pressure ≥140 mmHg (1.96 [1.31–2.93] and 2.90 [1.38–6.10]) respectively. In addition, isolated neural disorders were associated with a heavy smoking history (95%CI 2.69 [1.15–6.31]), increased high-sensitivity C-reactive protein levels (95%CI 1.30 [1.04–1.62]) and mild obesity (95%CI 0.49 [0.20–1.24]). Isolated vascular disorders were linked with decreased high density lipoprotein (HDL) cholesterol levels (95%CI 3.42 [1.31–8.96]) and increased triglycerides levels (95%CI 2.74 [1.26–5.97]).ConclusionsDiabetic at-risk foot is epidemic among hospitalized patients with type 2 diabetes. Aging, long-term diabetes, hypertension, smoking, inflammatory response and dyslipidemia may be associated with the prevalence of diabetic at-risk foot.