THE EFFICIENCY OF SUCTION DRAIN USAGE IN ARTHROSCOPIC KNEE SURGERY

Aim:The study was designed to investigate the efficiency of suction drain after arthroscopic knee surgery. It is hypothesized that suction drain decreases postoperative hemarthrosis after arthroscopic knee surgery. Methods: Patients were randomized into two groups. Suction drain was used in Group I and no drain was used in Group II. The groups were compared in terms of rest and activity pain, range of motion, Lysholm and International Knee Documentation Committee (IKDC) scores, patellar shock, need for postoperative knee puncture, amount of drainage, time of hospitalization, and loss of labor. Arthroscopic interventions like meniscectomy, synovectomy, meniscus repair and microfracture were also compared for the amount of patellar shock, need for postoperative knee puncture and amount of drainage. Results: The difference for activity pain and range of motion between the two groups was statistically nonsignificant. Rest pain improved faster in control group. Lysholm and IKDC scores were improved in both groups but the amount of increase was statistically nonsignificant. The amount of patellar shock was also statistically nonsignificant between the two groups. The amount of patellar shock, need for postoperative knee puncture and amount of drainage were also statistically nonsignifiant for arthroscopic interventions like meniscectomy and synovectomy. Conclusions: Suction drain application was unnecessary in many situations after arthroscopic knee surgery in this study. Although suction drain usage delayed the recovery from postoperative pain in this study, other parameters of pain were not affected from suction drain usage. Routine usage of a suction drain after arthroscopic knee surgery was not recommended

Learning on Riemannian manifolds for interpretation of visual environments

Classical machine learning techniques provide effective methods for analyzing data when the parameters of the underlying process lie in a Euclidean space. However, various parameter spaces commonly occurring in computer vision problems violate this assumption. We derive novel learning methods for parameter spaces having Riemannian manifold structure and present several practical applications for scene analysis. The mean shift algorithm on Lie groups is a generalization of the mean shift procedure which is also an unsupervised learning technique for vector spaces. The derived procedure can be used to cluster data points which form a matrix Lie group. We present an application of the new algorithm for multiple 3D rigid motion estimation problem from noisy point correspondences in the presence of outliers. The approach performs simultaneous estimation of all the motions and does not require prior specification of the number of motion groups. We present a novel geometric framework to learn a supervised classification model for data points lying on a connected Riemannian manifold. The structure of the classifier is an additive model, where the weak learners are trained on the tangent spaces of the manifold. The derived algorithm is applied to pedestrian detection problem which is known to be among the hardest examples of the detection tasks. We describe a regression model where the response parameters form a Lie group. The model is utilized for affine tracking problem where the motion is estimated as a parameter of the image observations. We present generalization of the learning model to build an invariant object detector from an existing pose dependent detector. The proposed model can accurately detect objects in various poses, where the size of the search space is only a fraction compared to the existing detection methods. The other contributions of the thesis include a novel region descriptor and an online learning algorithm for estimating background statistics of a scene which are utilized for several challenging problems such as matching, tracking, texture classification and low frame rate tracking.Ph. D.Includes bibliographical references (p. 143-154)by Cuneyt Oncel Tuze

A Multicentered Study on Epidemiologic and Clinical Characteristics of 37 Neonates With Community-acquired COVID-19

Can, Emrah/0000-0002-2163-6564; Reis, AlessanRSS/0000-0001-8486-7469WOS: 000573923900002PubMed: 32932329Background: Coronavirus disease 2019 (COVID-19) primarily affects adults and spares children, whereas very little is known about neonates. We tried to define the clinical characteristics, risk factors, laboratory, and imagining results of neonates with community-acquired COVID-19. Methods: This prospective multicentered cohort study included 24 neonatal intensive care units around Turkey, wherein outpatient neonates with COVID-19 were registered in an online national database. Full-term and premature neonates diagnosed with COVID-19 were included in the study, whether hospitalized or followed up as ambulatory patients. Neonates without severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) via reverse transcriptase-polymerase chain reaction testing or whose mothers had been diagnosed with COVID-19 during pregnancy were excluded. Results: Thirty-seven symptomatic neonates were included. the most frequent findings were fever, hypoxemia, and cough (49%, 41%, 27%, respectively). Oxygen administration (41%) and noninvasive ventilation (16%) were frequently required; however, mechanical ventilation (3%) was rarely needed. Median hospitalization was 11 days (1-35 days). One patient with Down syndrome and congenital cardiovascular disorders died in the study period. C-reactive protein (CRP) and prothrombin time (PT) levels were found to be higher in patients who needed supplemental oxygen (0.9 [0.1-8.6] vs. 5.8 [0.3-69.2]p= 0.002, 11.9 [10.1-17.2] vs. 15.2 [11.7-18.0]p= 0.01, respectively) or who were severe/critical (1.0 [0.01-8.6] vs. 4.5 [0.1-69.2]p= 0.01, 11.7 [10.1-13.9] vs. 15.0 [11.7-18.0]p= 0.001, respectively). Conclusions: Symptomatic neonates with COVID-19 had high rates of respiratory support requirements. High CRP levels or a greater PT should alert the physician to more severe disease.Turkish Neonatal SocietyThe Turkish Neonatal Society funded the online registration system of the study. Funders had no role in study design, data collection, data analysis and interpretation, writing of the report, and decision to publish of the article. the corresponding author has full access to all the data in the study and takes final responsibility for the decision to submit for publication. All authors approved the final version of the manuscript. M.K.K. wrote the first draft of the manuscript, no honorarium, grant, or other form of payment was given to anyone to produce the manuscript. To the best of our knowledge, no conflict of interest, financial or other, exists. There are no prior publications or submissions with any overlapping information, including studies and patients

Epidemiologic and clinical characteristics of neonates with late-onset COVID-19: 1-year data of Turkish Neonatal Society

The literature on neonates with SARS-CoV-2 is mainly concerned with perinatal cases, and scanty data are available about environmentally infected neonates. To fill knowledge gaps on the course and prognosis of neonatal cases, we analyzed 1-year data from the Turkish Neonatal Society in this prospective cohort study of neonates with postnatal transmission. Data from 44 neonatal intensive care units (NICUs), of neonates with positive RT-PCR results at days 5-28 of life, were extracted from the online registry system and analyzed. Of 176 cases, most were term infants with normal birth weight. Fever was the most common symptom (64.2%), followed by feeding intolerance (25.6%), and cough (21.6%). The median length of hospitalization was 9 days, with approximately one quarter of infants receiving some type of ventilatory support. Myocarditis (5.7%) was the most common complication during follow-up. Among the clinical findings, cough (odds ratio [OR]: 9.52, 95% confidence interval [CI]: 4.17-21.71), tachypnea (OR: 26.5, 95% CI: 9.59-73.19), and chest retractions (OR: 27.5, 95% CI: 5.96-126.96) were associated with more severe clinical disease. Also, there were significant differences in the C-reactive protein level, prothrombin time (PT), partial thromboplastin time, international normalized ratio, and days in the NICU (p = 0.002, p = 0.012, p = 0.034, p = 0.008, and p 0.001, respectively) between patients with mild-moderate and severe-critical presentations. A PT above 14 s was a significant predictor of severe/critical cases, with a sensitivity of 64% and specificity of 73%. Conclusions: Our data showed that late-onset COVID-19 infection in neonates who need hospitalization can be severe, showing associations with high rates of ventilatory support and myocarditis. Cough, tachypnea, and retractions on admission suggest a severe disease course

A multicenter study on epidemiological and clinical characteristics of 125 newborns born to women infected with COVID-19 by Turkish Neonatal Society (vol 46, pg 631, 2020) - [Correction]

WOS: 000561728300002PubMed: 32827274[No abstract available

A multicenter study on epidemiological and clinical characteristics of 125 newborns born to women infected with COVID-19 by Turkish Neonatal Society

Limited data are available on pregnant women with COVID-19 and their neonates. We aimed to evaluate the epidemiological and clinical characteristics of newborns born to women infected with COVID-19. A multicenter cohort study was conducted among newborns born to mothers with COVID-19 in 34 neonatal intensive care units (NICUs) in Turkey. Pregnant women (n = 125) who had a positive RT-PCR test and their newborns were enrolled. Cesarean section, prematurity, and low-birthweight infant rates were 71.2%, 26.4%, and 12.8%, respectively. Eight of 125 mothers (6.4%) were admitted to an intensive care unit for mechanical ventilation, among whom six died (4.8%). Majority of the newborns (86.4%) were followed in isolation rooms in the NICU. Four of 120 newborns (3.3%) had a positive RT-PCR test result. Although samples taken on the first day were negative, one neonate became positive on the second day and the other two on the fifth day. Sample from deep tracheal aspirate was positive on the first day in an intubated case

Serotype distribution of Streptococcus pneumoniae in children with invasive diseases in Turkey: 2008-2014

WOS: 000371745700019PubMed ID: 26325175Successful vaccination policies for protection from invasive pneumococcal diseases (IPD) dependent on determination of the exact serotype distribution in each country. We aimed to identify serotypes of pneumococcal strains causing IPD in children in Turkey and emphasize the change in the serotypes before and after vaccination with 7-valent pneumococcal conjugate vaccine (PCV-7) was included and PCV-13 was newly changed in Turkish National Immunization Program. Streptococcus pneumoniae strains were isolated at 22 different hospitals of Turkey, which provide healthcare services to approximately 65% of the Turkish population. Of the 335 diagnosed cases with S. pneumoniae over the whole period of 2008-2014, the most common vaccine serotypes were 19F (15.8%), 6B (5.9%), 14 (5.9%), and 3 (5.9%). During the first 5y of age, which is the target population for vaccination, the potential serotype coverage ranged from 57.5 % to 36.8%, from 65.0% to 44.7%, and from 77.4% to 60.5% for PCV-7, PCV-10, and PCV-13 in 2008-2014, respectively. The ratio of non-vaccine serotypes was 27.2% in 2008-2010 whereas was 37.6% in 2011-2014 (p=0.045). S. penumoniae serotypes was less non-susceptible to penicillin as compared to our previous results (33.7vs 16.5 %, p=0.001). The reduction of those serotype coverage in years may be attributed to increasing vaccinated children in Turkey and the increasing non-vaccine serotype may be explained by serotype replacement. Our ongoing IPD surveillance is a significant source of information for the decision-making processes on pneumococcal vaccination.PfizerPfizerThis study was supported by Pfizer

Serotype distribution ofStreptococcus pneumoniain children with invasive disease in Turkey: 2015-2018

Objectives To determine the serotype distribution of pneumococcus causing invasive pneumococcal disease (meningitidis, bacteremia and empyema) in children in Turkey, and to observe potential changes in this distribution in time to guide effective vaccine strategies. Methods We surveyedS. pneumoniaewith conventional bacteriological techniques and with real-time polymerase chain reaction (RT-PCR) in samples of cerebrospinal fluid (CSF), blood and pleural fluid.S. pneumoniaestrains were isolated from 33 different hospitals in Turkey, which are giving health services to approximately 60% of the Turkish population. Results A total of 167 cases were diagnosed with invasive pneumococcal disease between 2015 and 2018. We diagnosed 52 (31.1%) patients with meningitis, 104 (62.2%) patients with bacteremia, and 11 (6.6%) patients with empyema. Thirty-three percent of them were less than 2 years old and 56% less than 5 years old. Overall PCV13 serotypes accounted for 56.2% (94/167). The most common serotypes were 19 F (11.9%), 1 (10.7%) and 3 (10.1%). Conclusions Besides the increasing frequency of non-vaccine serotypes, vaccine serotypes continue to be a problem for Turkey despite routine and high-rate vaccination with PCV13 and significant reduction reported for the incidence of IPD in young children. Since new candidate pneumococcal conjugate vaccines with more serotype antigens are being developed, continuing IPD surveillance is a significant source of information for decision-making processes on pneumococcal vaccination