Background: We aimed to reveal lung volume, lesion volume and thorax diameters in patients with Covid-19 positive in CT images according to gender and presence of ground glass opacity. Materials and Methods: We included CT images of 113 people (male;58, female;55) diagnosed with Covid-19 positive in our study. CT images of each patient were imported the DICOM datasets and thorax diameter measurements were performed by using MicroDicom. Moreover, lung volume and lesion volume parameters were calculated from the CT images using the three-dimensional imaging method (Vitrea). All measurement parameters were compared according to gender and ground glass opacity appearance. Results: The 113 patients (male;58, female;55) with a mean age of 44.57±14.59 diagnosed with Covid-19 were included in our study. There was a significant difference between the gender in the mean values of lung volume (males; 3530.90±1454.99 ml and females; 3149.92±1335.16 ml) and lesion volume (males; 434.59±664.19 ml and females; 557.10±671.99 ml) parameters. In addition, a significant difference in lung volume (p<0.001) and lesion volume (p<0.001) was obtained between the groups with ground glass opacity and without ground glass opacity. Moreover, A significant difference (p=0.001) in thorax anteroposterior diameter length was obtained between the groups the with/without ground glass opacity. However, there was no significant difference (p=0.542) between genders in thorax diameters. Conclussion: In our study, we found that in the females may have more lung damage from Covid-19. We believe that our work in the light of the available data, we believe that the findings of our study will contribute to early stages of the pandemic, in which vaccination has not yet , and the long-term effects of post-covid.
{"title":"Covid 19 Pozitif Hastaların Akciğer ve Göğüs Hacminin Incelenmesi","authors":"Ayşe Gül KABAKCI, Yeşim TAŞOVA, Memduha Gülhal BOZKIR","doi":"10.35440/hutfd.1293941","DOIUrl":"https://doi.org/10.35440/hutfd.1293941","url":null,"abstract":"Background: We aimed to reveal lung volume, lesion volume and thorax diameters in patients with Covid-19 positive in CT images according to gender and presence of ground glass opacity. Materials and Methods: We included CT images of 113 people (male;58, female;55) diagnosed with Covid-19 positive in our study. CT images of each patient were imported the DICOM datasets and thorax diameter measurements were performed by using MicroDicom. Moreover, lung volume and lesion volume parameters were calculated from the CT images using the three-dimensional imaging method (Vitrea). All measurement parameters were compared according to gender and ground glass opacity appearance. Results: The 113 patients (male;58, female;55) with a mean age of 44.57±14.59 diagnosed with Covid-19 were included in our study. There was a significant difference between the gender in the mean values of lung volume (males; 3530.90±1454.99 ml and females; 3149.92±1335.16 ml) and lesion volume (males; 434.59±664.19 ml and females; 557.10±671.99 ml) parameters. In addition, a significant difference in lung volume (p&lt;0.001) and lesion volume (p&lt;0.001) was obtained between the groups with ground glass opacity and without ground glass opacity. Moreover, A significant difference (p=0.001) in thorax anteroposterior diameter length was obtained between the groups the with/without ground glass opacity. However, there was no significant difference (p=0.542) between genders in thorax diameters. Conclussion: In our study, we found that in the females may have more lung damage from Covid-19. We believe that our work in the light of the available data, we believe that the findings of our study will contribute to early stages of the pandemic, in which vaccination has not yet , and the long-term effects of post-covid.","PeriodicalId":500438,"journal":{"name":"Harran Üniversitesi týp fakültesi dergisi","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136036639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BACKGROUND: Intensive care units (ICU) are multidisciplinary departments where patients with life-threatening diseases, major surgical interventions, respiratory failure, coma condition, hemodynamic insufficiency, and ≥1 organ failure are admitted for relevant diagnoses and treatment. AIM: The present study sought to investigate pathogens causing infections in patients admitted to our respiratory ICU and their antibiotic resistance patterns. MATERİALS and METHOD: The antibiogram results and clinical data of all patient samples submitted between January 1, 2008, and December 31, 2010, were retrospectively reviewed. RESULT: In total, 248 patients with 561 culture results were included in the study. Microbial growth was detected in the following samples: blood, 336 (59.9%); deep tracheal aspirate, 104 (18.6%); urine, 89 (15.9%); wound drain, 12 (2.1%); central venous catheter liquid, 7 (1.3%); phlegm, 10 (1.8%); Foley tip liquid, 1 (0.2%); and pleural effusion, and 1 (0.2%). Rapid growth was most frequently noted in the cultures of coagulase-negative staphylococci (25.3%), Acinetobacter spp. (23.1%), and Escherichia coli (12.6%). STATISTICAL ANALYSIS Descriptive statistics for continuous variables were expressed as means and standard deviations. The intermittent variables were converted into cross-tables and analyzed using Fisher’s exact and Pearson’s chi-square tests. The normal distribution of the study data was assessed using Kolmogorov–Smirnov test. The mean values of the variables were analyzed using Student’s t-test. Bidirectional hypotheses were used, and a p-value of <0.05 was considered statistically significant. The IBM Statistical Package for the Social Sciences Ver. 18.0 for Windows (SPSS Inc., Chicago, IL, USA) software was used for statistical analyses. IN CONCLUSION, the present study revealed microorganisms’ resistance profiles similar to those of other relevant studies. The study provides important insights into the selection of empiric antibiotic therapy for patients admitted in intensive care unit. Keywords: respiratory intensive care unit, intensive care infections, antibiotic resistance, antibiotic susceptibility
背景:重症监护室(Intensive care units, ICU)是一种多学科科室，在重症疾病、重大手术干预、呼吸衰竭、昏迷状态、血流动力学功能不全、≥1个器官衰竭的患者中进行相关诊断和治疗。目的:本研究旨在调查引起呼吸道ICU患者感染的病原体及其抗生素耐药模式。MATERİALS和方法:回顾性分析2008年1月1日至2010年12月31日期间提交的所有患者样本的抗生素谱结果和临床资料。结果:共纳入248例患者，561例培养结果。以下标本中检出微生物生长:血液336例(59.9%);深气管抽吸104例(18.6%);尿89例(15.9%);伤口引流12例(2.1%);中心静脉置管液体，7个(1.3%);痰10例(1.8%);Foley尖端液体，1 (0.2%);胸腔积液，1例(0.2%)。在凝固酶阴性葡萄球菌(25.3%)、不动杆菌(23.1%)和大肠杆菌(12.6%)的培养中最常见的是快速生长。连续变量的描述性统计量用均值和标准差表示。将间歇性变量转换为交叉表，并使用Fisher精确检验和Pearson卡方检验进行分析。采用Kolmogorov-Smirnov检验评估研究数据的正态分布。各变量的均值采用学生t检验进行分析。采用双向假设，p值为<0.05认为具有统计学意义。使用IBM Statistical Package for The Social Sciences Ver. 18.0 for Windows (SPSS Inc.， Chicago, IL, USA)软件进行统计分析。总之，本研究揭示的微生物耐药谱与其他相关研究相似。该研究为重症监护病房收治的患者选择经验性抗生素治疗提供了重要见解。关键词:呼吸重症监护病房;重症监护感染;抗生素耐药
{"title":"Solunumsal Yoğun Bakım Ünitesinde İzole Edilen Mikroorganizmalar ve Antibiyotik Direnç Durumlarının Yıllara Göre Değişimi ve Mortaliteye Etkisi","authors":"Hamdiye TURAN, Cengizhan SEZGİ, Abdurrahman ABAKAY, Cetin TANRİKULU","doi":"10.35440/hutfd.1281480","DOIUrl":"https://doi.org/10.35440/hutfd.1281480","url":null,"abstract":"BACKGROUND: Intensive care units (ICU) are multidisciplinary departments where patients with life-threatening diseases, major surgical interventions, respiratory failure, coma condition, hemodynamic insufficiency, and ≥1 organ failure are admitted for relevant diagnoses and treatment. AIM: The present study sought to investigate pathogens causing infections in patients admitted to our respiratory ICU and their antibiotic resistance patterns. MATERİALS and METHOD: The antibiogram results and clinical data of all patient samples submitted between January 1, 2008, and December 31, 2010, were retrospectively reviewed. RESULT: In total, 248 patients with 561 culture results were included in the study. Microbial growth was detected in the following samples: blood, 336 (59.9%); deep tracheal aspirate, 104 (18.6%); urine, 89 (15.9%); wound drain, 12 (2.1%); central venous catheter liquid, 7 (1.3%); phlegm, 10 (1.8%); Foley tip liquid, 1 (0.2%); and pleural effusion, and 1 (0.2%). Rapid growth was most frequently noted in the cultures of coagulase-negative staphylococci (25.3%), Acinetobacter spp. (23.1%), and Escherichia coli (12.6%). STATISTICAL ANALYSIS Descriptive statistics for continuous variables were expressed as means and standard deviations. The intermittent variables were converted into cross-tables and analyzed using Fisher’s exact and Pearson’s chi-square tests. The normal distribution of the study data was assessed using Kolmogorov–Smirnov test. The mean values of the variables were analyzed using Student’s t-test. Bidirectional hypotheses were used, and a p-value of &lt;0.05 was considered statistically significant. The IBM Statistical Package for the Social Sciences Ver. 18.0 for Windows (SPSS Inc., Chicago, IL, USA) software was used for statistical analyses. IN CONCLUSION, the present study revealed microorganisms’ resistance profiles similar to those of other relevant studies. The study provides important insights into the selection of empiric antibiotic therapy for patients admitted in intensive care unit. Keywords: respiratory intensive care unit, intensive care infections, antibiotic resistance, antibiotic susceptibility","PeriodicalId":500438,"journal":{"name":"Harran Üniversitesi týp fakültesi dergisi","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135314782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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