A new 4-strand tendon repair technique in a rabbit Achilles tendon model: Is 4 better than 6?

OBJECTIVE: This study aimed to present a new modification of the modified Kessler tendon repair technique and share results of an animal study scrutinizing mainly the biomechanical properties and comparing it to other techniques. METHODS: Eighteen New Zealand rabbits were used and divided into 3 groups: 1 experiment and 2 control groups. Four-strand modified Kessler and 6-strand Tang repairs were used for the control groups. The new modification was used in the experiment group. Two surgeries were conducted 8 weeks apart, repairing 1 Achilles tendon in the first, repairing the contralateral tendon and harvesting specimens in the second. The repair times were recorded. In addition, biomechanical tests were conducted to determine mechanical strength. RESULTS: There was a statistically significant difference between the 3 groups in load-to-failure values for the strength after repair model, with the experiment group superior to the other 2 (P = .002; P < .05). Although there was a noticeable difference between the mean loadto- failure values of each group in the healing model, we could not demonstrate a statistically significant difference(P > .05). The new modification took significantly less time than the other 2 techniques (P = .001). CONCLUSION: Our new modification was biomechanically stronger and faster than the other 2 techniques. The technique offers a new, suitable, practical option for human flexor tendon repair.

Prognostic value of Gustave Roussy immune score in operable pancreatic adenocarcinoma.

Background: The Gustave Roussy immune score (GRIm score) is a laboratory index developed to predict survival in nonsmall cell lung cancer patients undergoing immunotherapy and has shown that the pretreatment value is an independent prognostic factor for survival. In this study, we aimed to determine prognostic significance of GRIm score for pancreatic adenocarcinoma that have not been determined in the literature for pancreatic cancer before. The reason for choosing this scoring is to show that the immune scoring system works as a prognostic marker in pancreatic cancer known as immune-desert tumor via immune properties of microenvironment. Methods: Medical records of patients with histologically confirmed pancreatic ductal adenocarcinoma, who were treated and followed up between December 2007 and July 2019 at our clinic, were reviewed retrospectively. GRIm scores of each patient were calculated at the time of diagnosis. Survival analysis were performed according to risk groups. Results: A total of 138 patients were included in the study. While 111 (80.4%) patients were in the low-risk group; 27 (19.6%) were in high-risk group according to GRIm score. Median OS was 36.9 months (95% Confidence interval (CI): 25.42-48.56) in lower GRIm scores, and it was 11.1 months (95% CI: 6.83-15.44) in higher GRIm scores (P = 0.002). One-two-three-year OS rates were 85% versus 47%, 64% versus 39%, 53% versus 27% for low versus high GRIm scores, respectively. The multivariate analysis revealed that high GRIm score was an independent poor prognostic factor. Conclusion: GRIm can be used as a noninvasive, easily applicable, practical prognostic factor in pancreatic cancer patients.

Case Report of a Successful Pediatric Central Venovenous Extracorporeal Life Support via Right Atrium-Pulmonary Artery Cannulation for Severe Chest Trauma and Hemorrhagic Shock.

Hypoxemic arrests due to severe traumatic pulmonary injury may not respond to usual medical support. Extracorporeal life support (ECLS) can be life-saving; adequate flows are needed in this setting along with a careful choice of anticoagulation strategies to minimize bleeding. A 44 month old child, who presented with severe blunt chest trauma after being run over by a truck was resuscitated with active compressions and code medications seven times before arrival to the intensive care unit. Failure to adequately oxygenate led to an unconventional approach with cannulations of the right atrium (RA) and pulmonary artery (PA) via sternotomy. Anticoagulation regimen started after bleeding had slowed down with active transfusion of blood products and consisted of low-dose heparin and alprostadil infusions for the initial 48 hours. Heparin was adjusted per institutional guidelines thereafter. Physiologically veno-venous central approach enabled fast stabilization due to full oxygenation without recirculation. Additionally, the dual anticoagulation regimen was safe for circuit maintenance. The described method can be considered in small children with similar risks and conditions.

Deep learning models for predicting RNA degradation via dual crowdsourcing.

Medicines based on messenger RNA (mRNA) hold immense potential, as evidenced by their rapid deployment as COVID-19 vaccines. However, worldwide distribution of mRNA molecules has been limited by their thermostability, which is fundamentally limited by the intrinsic instability of RNA molecules to a chemical degradation reaction called in-line hydrolysis. Predicting the degradation of an RNA molecule is a key task in designing more stable RNA-based therapeutics. Here, we describe a crowdsourced machine learning competition ('Stanford OpenVaccine') on Kaggle, involving single-nucleotide resolution measurements on 6,043 diverse 102-130-nucleotide RNA constructs that were themselves solicited through crowdsourcing on the RNA design platform Eterna. The entire experiment was completed in less than 6 months, and 41% of nucleotide-level predictions from the winning model were within experimental error of the ground truth measurement. Furthermore, these models generalized to blindly predicting orthogonal degradation data on much longer mRNA molecules (504-1,588 nucleotides) with improved accuracy compared with previously published models. These results indicate that such models can represent in-line hydrolysis with excellent accuracy, supporting their use for designing stabilized messenger RNAs. The integration of two crowdsourcing platforms, one for dataset creation and another for machine learning, may be fruitful for other urgent problems that demand scientific discovery on rapid timescales.

Cardiovascular Surgeons' Medical Perspectives Regarding Social Media Usage: a Survey Analysis

Abstract Introduction: We aimed to evaluate the use of social media among cardiovascular surgery specialists and their respective perspectives. Methods: In total, 173 cardiovascular surgeons were reached through an online survey. The surgeons surveyed were cardiovascular surgery specialists. The questionnaire consisted of 33 questions, including closed-ended and open-ended questions about social media. Results: We found that 73.4% of the participants think that social media facilitates the communication of the patient with the doctor, and 87.9% think that social media increases the publicity of the physician. Furthermore, 80.9% of the participants believe that informing through social media creates information pollution. We found that personal use of Instagram was more common in state hospital cardiac surgeons. The number of patients who contacted surgeons in private hospital for surgery via social media were found to be statistically significant, and it was found that this group benefitted more economically. Conclusion: Social media usage rates of cardiovascular surgeons were found to be high. On the other hand, it was observed that the rate of surgeons who share medical content is low. However, half the cardiovascular surgeons who participated in the study believe that their colleagues do not fully comply with the ethical rules in medical sharing.

Pulmonary artery sarcoma treated with pulmonary endarterectomy and leaflet reconstruction using Ozaki technique.

Pulmonary arterial intimal sarcomas (PAIS) are rare malignancies with a poor prognosis. Sarcomas present with signs and symptoms mimicking pulmonary thromboembolic disease, delaying the diagnosis. We present a 29-year-old male patient diagnosed with PAIS in the right and main pulmonary arteries extending to the left pulmonary leaflet. The patient was treated with pulmonary endarterectomy and pulmonary leaflet reconstruction using the Ozaki technique.

Surgical treatment of massive pulmonary thromboembolism due to renal cell carcinoma.

While renal cell carcinomas frequently invade the renal vein and inferior vena cava, the right atrial extension or formation of bilateral pulmonary massive embolism is quite unusual. A 65-year-old male patient underwent bilateral pulmonary tumor endarterectomy and total thrombectomy of the inferior vena cava combined with left nephrectomy under total circulatory arrest with antegrade cerebral perfusion. Both mediastinal and abdominal approaches facilitated the complete removal of the caval thrombus under the guidance of transesophageal echocardiography. The patient is still under follow-up for six months without metastasis. In conclusion, pulmonary thromboembolism due to renal cell carcinoma is rare, surgical treatment is possible.

Mid-term results of surgical interventions of high-grade vena cava tumor thrombus.

Background: This study aims to investigate whether the coexistence of advanced renal cell carcinoma and inferior vena cava tumor thrombus could be treated with a multidisciplinary approach and teamwork and to evaluate early and mid-term results. Methods: Between January 2017 and December 2020, a total of 33 patients (28 males, 5 females; mean age: 55.8±13.2 years; range, 27 to 76 years) who underwent radical nephrectomy and thrombectomy of the inferior vena cava were retrospectively analyzed. Demographic characteristics of the patients, types of operations, postoperative data, mortality and morbidity rates were recorded. Results: Of the patients, 12% (n=4) had Stage 2 tumor thrombus, 60.6% (n=20) had Stage 3 tumor thrombus, and 27% (n=9) had Stage 4 tumor thrombus. A total of 55% (n=19) of the patients had right-sided renal cell carcinoma, while 45% (n=14) of them had a left-sided mass. Totally, 66% (n=22) of the patients underwent primary inferior vena cava repair. The thrombectomy procedure and a Dacron® patch was applied with patch plasty in 24% (n=8) of the patients, and Dacron® graft interposition was applied to the inferior vena cava in 9% (n=3) of the patients. The mean follow-up was 20.3±13.0 (range, 2 to 70) months. Deep vein thrombosis was detected in the follow-up of seven (21%) patients, and no pulmonary thromboembolism was observed during the postoperative follow-up period. The mean length of stay in the intensive care unit was 1.39±0.6 (range, 1 to 3) days. The 30-day mortality rate was 3%, due to the loss of one patient from massive pulmonary embolism intraoperatively. Conclusion: Vascular surgical procedures performed regardless of the stage of the tumor thrombus provide satisfactory mid-term results in patients with advanced renal cell cancer.

Cardiovascular Surgeons' Medical Perspectives Regarding Social Media Usage: a Survey Analysis.

INTRODUCTION: We aimed to evaluate the use of social media among cardiovascular surgery specialists and their respective perspectives. METHODS: In total, 173 cardiovascular surgeons were reached through an online survey. The surgeons surveyed were cardiovascular surgery specialists. The questionnaire consisted of 33 questions, including closed-ended and open-ended questions about social media. RESULTS: We found that 73.4% of the participants think that social media facilitates the communication of the patient with the doctor, and 87.9% think that social media increases the publicity of the physician. Furthermore, 80.9% of the participants believe that informing through social media creates information pollution. We found that personal use of Instagram was more common in state hospital cardiac surgeons. The number of patients who contacted surgeons in private hospital for surgery via social media were found to be statistically significant, and it was found that this group benefitted more economically. CONCLUSION: Social media usage rates of cardiovascular surgeons were found to be high. On the other hand, it was observed that the rate of surgeons who share medical content is low. However, half the cardiovascular surgeons who participated in the study believe that their colleagues do not fully comply with the ethical rules in medical sharing.

Prognostic Value of Tissue-Resident Memory T Cells and Tumor Microenvironmental Features in Resected Pancreatic Adenocarcinoma

Background: Pancreatic ductal adenocarcinoma differs from other solid tumors with its unique immunosuppressive microenvironment and non-immunogenic feature. There are not many studies in the literature investigating the effect of these features on prognosis. Aims: To investigate the prognostic value of tissue-resident memory T cells, tumor microenvironment features, and tumor-associated immune cells in resected pancreatic ductal adenocarcinomas. Study Design: Retrospective cross-sectional study. Methods: Of 138 patients diagnosed with pancreatic ductal adenocarcinoma between 2011 and 2018, 81 were included in the study. Specimens from operated patients were reassessed separately as peritumoral and intratumoral areas for tissue resident memory cells and tumor microenvironmental elements (tumor infiltrating lymphocytes, tumor stroma, CD204+ macrophages, PDL1+ immune cells). Disease-free survival and overall survival were defined from the date of operation to the date of recurrence and the date of first diagnosis to the date of death, respectively. If the patient was alive, the last visit date was taken into account. Results: The median age at diagnosis was 63 (range: 40-78). The median follow-up period was 18.9 months (range: 1.4-80.4 months). Median overall survival was 23.7 months (1.4-80.4 months) and median disease-free survival was 10.8 months (1.4-74.4 months). Patients with higher intra-tumoral tissue-resident memory cell counts had a longer survival trend than those having lower values (25.6 months vs. 18 months, respectively, P = .84). According to microenvironmental evaluations, lower stromal score (defined as stroma having less desmoplasia and rich in cells) and presence of peritumoral Crohn's-like inflammatory response were associated with higher survival (29.2 months vs. 19.7 months for low vs. high stromal scores, respectively, P = .16 and 30.2 months vs. 18.1 months for the presence of Crohn's-like inflammatory response P = .13). Decreased survival was observed in tumors with increased CD204+ tumor-associated macrophages which were immunosuppressive elements of the microenvironment (12 months vs. 26.3 months for intra-tumoral assessment, P = .29). Conclusion: Tissue-resident memory T cells and other microenvironmental features may be prognostic in resectable pancreatic ductal adenocarcinomas. Further studies with larger cohorts are needed for validation.

Deep learning models for predicting RNA degradation via dual crowdsourcing.

Messenger RNA-based medicines hold immense potential, as evidenced by their rapid deployment as COVID-19 vaccines. However, worldwide distribution of mRNA molecules has been limited by their thermostability, which is fundamentally limited by the intrinsic instability of RNA molecules to a chemical degradation reaction called in-line hydrolysis. Predicting the degradation of an RNA molecule is a key task in designing more stable RNA-based therapeutics. Here, we describe a crowdsourced machine learning competition ("Stanford OpenVaccine") on Kaggle, involving single-nucleotide resolution measurements on 6043 102-130-nucleotide diverse RNA constructs that were themselves solicited through crowdsourcing on the RNA design platform Eterna. The entire experiment was completed in less than 6 months, and 41% of nucleotide-level predictions from the winning model were within experimental error of the ground truth measurement. Furthermore, these models generalized to blindly predicting orthogonal degradation data on much longer mRNA molecules (504-1588 nucleotides) with improved accuracy compared to previously published models. Top teams integrated natural language processing architectures and data augmentation techniques with predictions from previous dynamic programming models for RNA secondary structure. These results indicate that such models are capable of representing in-line hydrolysis with excellent accuracy, supporting their use for designing stabilized messenger RNAs. The integration of two crowdsourcing platforms, one for data set creation and another for machine learning, may be fruitful for other urgent problems that demand scientific discovery on rapid timescales.

Is there a relation between computed tomography findings and electrocardiography findings in COVID-19?

OBJECTIVE: COVID-19 can cause lung damage and may present with pneumonia in patients. In the present study, the correlation between the severity of pneumonia and electrocardiography parameters of COVID-19 were examined. METHODS: A total of 93 COVID-19 patients and a control group consisting of 62 volunteers were studied. Computed thorax tomography evaluation was performed; each lung was divided into three zones. For each affected zone, scores were given. The main computed thorax tomography patterns were described in line with the terms defined by the Fleischner Society and peer reviewed literature on viral pneumonia. We compared Computed thorax tomography of patients with corrected QT (QTc) and P wave dispersion (Pd) time. RESULTS: There is a significant difference between the patient and control groups in terms of QTc values (413.5±28.8 msec vs. 395.6±16.7 msec p<0.001). Likewise, the Pd value of the patient group is statistically significantly higher than that of the control group (50.0±9.6 ms computed thorax tomography ec vs. 41.3±5.8 msec p<0.001). In the patient group, a reverse correlation was detected between computed thorax tomography score and Pd value according to partial correlation coefficient analysis (correlation coefficient: -0.232, p=0.027). In the patient group, the correlation between computed thorax tomography score and QTc value was similarly determined according to partial correlation coefficient analysis (Correlation coefficient:0.224, p=0.017). CONCLUSIONS: COVID-19 prolongs QTc and P wave dispersion values; and as the severity of pneumonia increases, QTc value increases. However, whereas the severity of pneumonia increases, P wave dispersion value decreases.

Is there a relation between computed tomography findings and electrocardiography findings in COVID-19?

SUMMARY OBJECTIVE: COVID-19 can cause lung damage and may present with pneumonia in patients. In the present study, the correlation between the severity of pneumonia and electrocardiography parameters of COVID-19 were examined. METHODS: A total of 93 COVID-19 patients and a control group consisting of 62 volunteers were studied. Computed thorax tomography evaluation was performed; each lung was divided into three zones. For each affected zone, scores were given. The main computed thorax tomography patterns were described in line with the terms defined by the Fleischner Society and peer reviewed literature on viral pneumonia. We compared Computed thorax tomography of patients with corrected QT (QTc) and P wave dispersion (Pd) time. RESULTS: There is a significant difference between the patient and control groups in terms of QTc values (413.5±28.8 msec vs. 395.6±16.7 msec p<0.001). Likewise, the Pd value of the patient group is statistically significantly higher than that of the control group (50.0±9.6 ms computed thorax tomography ec vs. 41.3±5.8 msec p<0.001). In the patient group, a reverse correlation was detected between computed thorax tomography score and Pd value according to partial correlation coefficient analysis (correlation coefficient: −0.232, p=0.027). In the patient group, the correlation between computed thorax tomography score and QTc value was similarly determined according to partial correlation coefficient analysis (Correlation coefficient:0.224, p=0.017). CONCLUSIONS: COVID-19 prolongs QTc and P wave dispersion values; and as the severity of pneumonia increases, QTc value increases. However, whereas the severity of pneumonia increases, P wave dispersion value decreases.

Elevated D-dimer levels on admission are associated with severity and increased risk of mortality in COVID-19: A systematic review and meta-analysis.

BACKGROUND: In this systematic review and meta-analysis, we aimed to investigate the correlation of D-dimer levels measured on admission with disease severity and the risk of death in patients with coronavirus disease 2019 (COVID-19) pneumonia. MATERIALS AND METHODS: We performed a comprehensive literature search from several databases. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed in abstracting data and assessing validity. Quality assessment was performed using the Newcastle-Ottawa quality assessment scale (NOS). D-dimer levels were pooled and compared between severe/non-severe and surviving/non-surviving patient groups. Weighted mean difference (WMD), risk ratios (RRs) and 95% confidence intervals (CIs) were analyzed. RESULTS: Thirty-nine studies reported on D-dimer levels in 5750 non-severe and 2063 severe patients and 16 studies reported on D-dimer levels in 2783 surviving and 697 non-surviving cases. D-dimer levels were significantly higher in patients with severe clinical status (WMD: 0.45 mg/L, 95% CI: 0.34-0.56; p < 0.0001). Non-surviving patients had significantly higher D-dimer levels compared to surviving patients (WMD: 5.32 mg/L, 95% CI: 3.90-6.73; p < 0.0001). D-dimer levels above the upper limit of normal (ULN) was associated with higher risk of severity (RR: 1.58, 95% CI: 1.25-2.00; p < 0.0001) and mortality (RR: 1.82, 95% CI: 1.40-2.37; p < 0.0001). CONCLUSION: Increased levels of D-dimer levels measured on admission are significantly correlated with the severity of COVID-19 pneumonia and may predict mortality in hospitalized patients.

Prognostic significance of cardiac injury in COVID-19 patients with and without coronary artery disease.

OBJECTIVE: COVID-19 is a disease with high mortality, and risk factors for worse clinical outcome have not been well-defined yet. The aim of this study is to delineate the prognostic importance of presence of concomitant cardiac injury on admission in patients with COVID-19. METHODS: For this multi-center retrospective study, data of consecutive patients who were treated for COVID-19 between 20 March and 20 April 2020 were collected. Clinical characteristics, laboratory findings and outcomes data were obtained from electronic medical records. In-hospital clinical outcome was compared between patients with and without cardiac injury. RESULTS: A total of 607 hospitalized patients with COVID-19 were included in the study; the median age was 62.5 ± 14.3 years, and 334 (55%) were male. Cardiac injury was detected in 150 (24.7%) of patients included in the study. Mortality rate was higher in patients with cardiac injury (42% vs. 8%; P < 0.01). The frequency of patients who required ICU (72% vs. 19%), who developed acute kidney injury (14% vs. 1%) and acute respiratory distress syndrome (71%vs. 18%) were also higher in patients with cardiac injury. In multivariate analysis, age, coronary artery disease (CAD), elevated CRP levels, and presence of cardiac injury [odds ratio (OR) 10.58, 95% confidence interval (CI) 2.42-46.27; P < 0.001) were found to be independent predictors of mortality. In subgroup analysis, including patients free of history of CAD, presence of cardiac injury on admission also predicted mortality (OR 2.52, 95% CI 1.17-5.45; P = 0.018). CONCLUSION: Cardiac injury on admission is associated with worse clinical outcome and higher mortality risk in COVID-19 patients including patients free of previous CAD diagnosis.

Can Glypican-6 Level Predict Ejection Fraction Decline After Myocardial Infarction?

The main goals in the treatment of acute coronary syndrome are to prevent myocardial ischemia, damage, and possible complications. Accordingly, we evaluated the predictive value of glypican-6 (GPC6) for cardiac remodeling after myocardial infarction (MI). Baseline plasma GPC6 levels were measured in patients who underwent primary percutaneous coronary intervention (PCI) for acute MI. Left ventricular ejection fraction (LVEF) was measured at baseline and at 6 months with transthoracic echocardiography. Reduced LVEF persisted in 89 out of 276 patients after 6 months. The majority of the patients were male (n = 198, 72%) and the mean age was 57.8 ± 10.8 years. Glypican-6, N-terminal pro-brain natriuretic peptide (NT-proBNP), and high-sensitive troponin levels were significantly lower in the improved LVEF group compared with the low LVEF group (10.54 ± 4.46 vs 6.98 ± 3.34 ng/mL, P < .001; 500 pg/mL [range, 300-600 pg/mL] vs 350 pg/mL [range, 200-550 pg/mL], P = .008; 396 pg/mL [range, 159-579 pg/mL] vs 300 pg/mL [range, 100-500 pg/mL], P = .016, respectively). Logistic regression analysis revealed the SYNTAX Score 2, GPC6, and NT-proBNP as significant independent predictors of low LVEF (hazard ratio [HR]: 1.064, P = .041; HR: 1.215, P < .001; HR: 1.179, P < .001). Glypican-6 may prove to be useful for the detection of low LVEF development in patients undergoing PCI following MI.

Interpretation of arrhythmogenic effects of COVID-19 disease through ECG.

OBJECTIVE: We aimed to detect the malignant arrhythmic potential of COVID-19 with surface electrocardiographic (ECG) markers. MATERIAL AND METHOD: Of the ECG parameters PR, QT, QTc, QTd, TPe, and Tpe/QTc were measured in 51 COVID-19 patients and 40 in control subjects. RESULTS: Compared to control group mean QTc (410.8 ± 24.3 msec vs. 394.6 ± 20.3 msec, p < .001) and Tpe/QTc (0.19 ± 0.02 vs. 0.18 ± 0.04, p = .036) and median QTd (47.52 vs. 46.5) values were significantly higher in COVID-19 patients. Troponin levels were significantly correlated with heart rate (r = 0.387, p = .006) but not with ECG parameters. CONCLUSION: Several ventricular arrhythmia surface ECG predictors including QTc, QTd, and Tpe/QTc are increased in COVID-19 patients. Since medications used in COVID-19 patients have the potential to affect these parameters, giving importance to these ECG markers may have a significant contribution in decreasing disease-related arrhythmias.

Multilayer longitudinal strain can help predict the development of no-reflow in patients with acute coronary syndrome without ST elevation.

No-reflow (NR) is one of the major complications of primary percutaneous coronary intervention (PCI) in patients with non-ST-segment elevation myocardial infarction (NSTEMI). We aim to assess the value of multilayer longitudinal strain parameter to predict NR in patients with NSTEMI and preserved ejection fraction. 230 consecutive patients who were admitted to the emergency department and diagnosed with NSTEMI were prospectively included in this study. Echocardiography was performed 1 h before angiography. Specific analysis for endocardial, mid-myocardial and epicardial layers were performed by two-dimensional (2D) speckle tracking echocardiography (STE) for multilayer longitudinal strain. NR was described as flow grade of ≤ TIMI 2 when mechanical occlusions like dissection, intimal tear, arterial spasm and thromboembolism during angiography were excluded. 49 of 168 patients admitted to the study had NR. No significant differences were observed between the groups regarding age and gender. Multilayer longitudinal strain imaging (endocard, midmyocard and epicard) revealed lower strain values particularly in endocardial layer in patients with NR (GLS-endocard: - 14.14 ± 1.39/- 17.41 ± 2.34, p < 0.001; GLS-midmyocard: - 14.81 ± 1.40/17.81 ± 2.22, p < 0.001; GLS-epicard: - 16.14 ± 1.38/18.22 ± 2.00, p < 0.001). GLS-endocard, GLS-midmyocard, GLS-epicard and ST depression were found to be statistically significant independents parameters respectively to predict NR phenomenon (GLS-endocard: OR: 2.193, p < 0.001; GLS-midmyocard: OR: 1.510, p: 0.016; GLS-epicard: OR: 1.372, p: 0.035; ST depression: OR: 3.694, p: 0.014). We revealed that left ventricular strain study with speckle tracking echocardiography predicts NR formation. This noninvasive method may be useful for detecting NR formation in patients with NSTEMI.