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1.
Pakistan Journal of Medical and Health Sciences ; 16(4):538-541, 2022.
Article in English | EMBASE | ID: covidwho-1887475

ABSTRACT

Introduction: Evaluation of the effectiveness of diagnostic computed tomography of the chest in differentiating between coronavirus 2019 (COVID-19) ground glass opacities and other reasons of ground glass opacities (GGO) not related to COVID-19. Place and Duration: In the department of Radiology, Miangul Abdul Haq Jahenzeb Kidney Hospital Swat for six-months duration from March 2021 to August 2021. Methods: 90 total covid-19 confirmed patients by RT-PCR having GGO (53 males and 37 females, with 47.20 ± 15.10 years mean age) and 110 patients (63 males and 47 males) who were confirmed GGO on chest CT but not due to Covid-19 were selected for the study. The experienced radiologists studied all chest CT scans after removing all descriptive information from the images. They tested negative or positive for COVID-19 and noted other features of CT of the lungs, including laterality, distribution pattern and lobe involvement. The laboratory results and clinical data were documented. Results: This study consisted of 90 COVID19 patients and 100 non-COVID-19 with ground glass opacities on CT chest. In terms of age;no statistically significant alteration was noted amid the 2 groups (p-value = 0.129). Non-COVID-19 cases with GGO;6 patients have atypical bacterial pneumonia, 42 patients have GGO after viral pneumonia, 14 patients have interstitial pneumonia, 5 patients have PJP, eosinophilic pneumonia in 3 patients, 9 patients have hypersensitivity pneumonia, 6 patients have drug-induced lung injury, 5 patients have pulmonary alveolar hemorrhage and pulmonary edema in 11 patients (cardiogenic and noncardiogenic). Conclusion: Chest CT is rational for distinguishing ground glass opacities form COVID-19 and non-COVID-19 reasons, with less specificity for distinguishing COVID-19 from viral pneumonia and intermediate specificity for distinguishing COVID-19 from other reasons of ground glass opacities.

2.
Ccs Chemistry ; 3(1):1501-1528, 2021.
Article in English | Web of Science | ID: covidwho-1887435

ABSTRACT

Coronavirus disease 2019 (COVID-19) is caused by a novel strain of coronavirus, designated as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It has caused a global pandemic rapidly sweeping across all countries, bringing social and economic hardship to millions. Most countries have implemented early warning measures to detect, isolate, and treat patients infected with SARS-CoV-2. This minireview summarizes some of those steps, in particular, testing methods and drug development in the context of chemical biology, and discusses the molecular basis of COVID-19's virulent transmissibility.

3.
Akusherstvo i Ginekologiya (Russian Federation) ; 2022(3):32-38, 2022.
Article in Russian | EMBASE | ID: covidwho-1887388

ABSTRACT

Aim: Analysis of pregnancy complications and outcomes in women with COVID-19. Materials and methods: The retrospective study included 34 pregnant women aged 16–40 years, who underwent treatment for COVID-19 in hospital. The diagnosis of COVID-19 infection was confirmed by positive PCR test results for SARS-CoV-2 RNA detection in all pregnant women. Results: Most pregnant women (52.9%) had mild symptoms, 20.7% had moderate symptoms and 17.6% had severe symptoms. Pneumonia was diagnosed in 67.1% of pregnant women. Obesity was predominant in the structure of extragenital disorders. It was in 44.1% of women. With COVID-19, iron deficiency anemia (44.2%), preeclampsia (38.2%), risk of preterm birth (35.3%) were predominant in the structure of pregnancy complications. Preterm birth occurred in 36.8% of cases. Cesarean section was performed in 73.3% of cases. The incidence of complications in newborns was 11.6%. 8.8% of newborns were referred to the neonatal intensive care unit. Conclusion: It was found that most pregnant women had mild cases of COVID-19. Pregnant women with COVID-19 had high incidence of preeclampsia, preterm birth and cesarean section versus pregnant women without COVID-19. Intrauterine vertical transmission of infection was not detected. The incidence of complications in newborns was in compliance with general population indicators.

4.
Akusherstvo i Ginekologiya (Russian Federation) ; 2022(2):80-90, 2022.
Article in Russian | EMBASE | ID: covidwho-1887387

ABSTRACT

Aim: To make a comparative analysis of causes and rates of early neonatal mortality in the Russian Federation in 2019 and 2020. Materials and methods: This study was based on the analysis of statistical forms А-05 of the Federal State Statistics Service (Rosstat) for the years 2019–2020. These forms included medical records of perinatal deaths related to stillbirths. Stillbirth rates were calculated as the ratio of stillbirths to the total number of babies born alive and dead multiplied by 1000. Results: In 2020, the number of babies born alive decreased by 7.6%, and the number of babies born dead increased by 1.12% versus the data reported in 2019. In 2020, the rate of stillbirth (5.67‰) increased by 4.2% versus the rate in 2019 (5.44‰). Most of all, the increase in stillbirths was noted in the South and Siberian Federal Districts. In general, the most common causes of stillbirths in the Russian Federation were respiratory disorders: the number of antenatal hypoxia was 78.2 (80.5%) and fetal intrapartum hypoxia was 6.7 (5.0%) of total number of stillbirths in 2019 and 2020, respectively. The proportion of congenital anomalies as the main disease was 6.7 (5.4%) of total number of stillbirths in 2019 and 2020, respectively. It was noted, that the number of stillborn babies with unknown causes of death increased by 52.2% in 2020 (4.7% of total number of stillborn babies) versus 2019 (3.1% of total number of stillborn babies)). Significant differences between the rates of major diseases that caused stillbirths were registered in different Federal Districts of the Russian Federation. Conclusion: According to Rosstat data, in 2020 (due to COVID-19 pandemic), the absolute number of babies born dead increased by 1.1% and the rate of stillbirths increased by 4.2% compared to 2019. Increased proportion of respiratory diseases, in particular, antenatal hypoxia and congenital pneumonia, reflects the direct and indirect effects of SARS-CoV-2 infection.

5.
Cardiometry ; - (21):50-54, 2022.
Article in English | EMBASE | ID: covidwho-1887369

ABSTRACT

In the present article the relevance of using DSS under the current conditions for image recognition and, as a more specific application, for the purpose of additional assistance rendered to medical experts (radiologists) in their decision-making and preparing findings upon assessment of X-ray images is considered. The paper analyzes the requirements for some expert DSS and their main characteristics that they should have;considered and selected is the necessary software for making rapid diagnoses of diseases of the thorax. All these modern requirements and characteristics are met by the Deep Learning Studio (DLS) software, which allows using deep convolutional neural network Inception V3 to teach this network and further obtain optimal results in the recognition and diagnosis of diseases of the thorax by assessing X-ray images. As a result of this study, a ready-made DSS intended for use by medical institutions for additional assistance to radiologists to prepare findings according to X-ray images has been obtained.

6.
Journal of Obstetric Anaesthesia and Critical Care ; 12(1):34-38, 2022.
Article in English | Web of Science | ID: covidwho-1887284

ABSTRACT

Background and Aims: COVID-19 has been a globally concerning pandemic affecting more than 20 million people worldwide. Due to physiological and anatomical changes, pregnant women are more susceptible to viral respiratory infections. Although the clinical and radiological features of COVID positive pregnant and non-pregnant women are comparable, literature pertaining to the clinical presentation and the outcomes in COVID positive pregnant women are being researched upon. Aims and Objectives: The main objective is to assess the lung involvement in COVID-19 positive pregnant women based on their clinical presentation and CT imaging features. The secondary aim is to study their clinical outcomes based on the above findings. Methods: This was a retrospective study carried out on COVID-19 positive pregnant women admitted to our hospital over 6 months (from May 2020 to October 2020). The collected data were analyzed with IBM.SPSS statistics software 23.0 Version. Results: There were a total of 480 COVID positive antenatal women detected Out of 480 patients 75.8% (364) were asymptomatic, one hundred and two patients (21.3%) presented with mild symptoms such as fever, dry cough, runny nose, loss of taste/smell without any breathing difficulty. Fourteen patients (2.9%) were identified in the moderate to severe symptomatic category with lung involvement with a 95% Confidence Intervals between 1.41 and 4.42. Three patients sustained mortality, the overall Mortality rate being 0.6%. Conclusion: The majority of the COVID positive antenatal women are asymptomatic or present with mild symptoms as detected from this study. Only a small proportion (2.9%) were identified with respiratory compromise. Although their infectivity rate is quite high, 99.4% of the population were cured and discharged.

7.
Future Virology ; 17(7):27, 2022.
Article in English | Web of Science | ID: covidwho-1887073

ABSTRACT

Aim: To evaluate the efficacy and safety of corticosteroids for treating hospitalized COVID-19 patients. Materials & methods: Efficacy outcomes included time to negative SARS-CoV-2 tests, length of stay, duration and incidence of intensive unit care stay, incidence of mortality and duration and incidence of mechanical ventilation. Safety outcomes included the incidence of adverse events and severe adverse events, incidence of hyperglycemia and incidence of nosocomial infections. Results: Ninety-five randomized controlled trials (RCTs) and observational studies (n = 42,205) were included. Corticosteroids were associated with increased length of stay (based on RCT only), increased time to negative tests, decreased length of mechanical ventilation and increased odds of hyperglycemia. Conclusion: Corticosteroids should be considered in patients requiring mechanical ventilation, and glycemic monitoring may be needed when administering corticosteroids.

8.
Journal of Urology ; 207(SUPPL 5):e482, 2022.
Article in English | EMBASE | ID: covidwho-1886508

ABSTRACT

INTRODUCTION AND OBJECTIVE: COVID-19 has caused significant disruption to the management of urological cancer, this study aims to assess 30-day postoperative outcomes for patients undergoing urological cancer surgery during the COVID-19 pandemic. METHODS: COVIDSurg study is the largest international, multicentre study of COVID-19 in surgical patients performed to date. COVIDSurg-Cancer explored the safety of performing elective cancer surgery during the pandemic. All bladder, kidney, UTUC and prostate cancer patients who underwent elective cancer surgery between March 2020 and July 2020 were included. Univariable and multivariable regression was performed to assess association of patient factors with mortality, respiratory complications and operative complications. RESULTS: A total of 1,902 patients from 36 countries were included. 658 (34.6%) patients had bladder cancer, 590 (31.0%) kidney cancer or UTUC, and 654 (34.4%) prostate cancer. These patients underwent elective curative surgery for their cancers (prostatectomies, nephrectomies, cystectomies, nephroureterectomy, TURBTs). 62% of sites were not designated “hot” COVID-19 sites (i.e. did not actively admit patients with COVID-19).A total of 42/1902 (0.2%) patients were diagnosed with COVID-19 during their inpatient stay. 21 (0.1%) mortalities were observed;of those, 8 (38.1%) were diagnosed with COVID-19. Mortalities were found to be more likely in patients with concurrent COVID-19 infection (OR 31.7, 95% CI 12.4- 81.42, p<0.001), aged over 80, ASA grade 3+ and ECOG grade 1+. 40 (0.2%) respiratory complications (acute respiratory distress syndrome or pneumonia) were observed within 30 days of surgery. Respiratory complications were more likely in patients aged with concurrent COVID-19 infection (OR 40.6, 95%CI 11.41-144.45, p<0.001), over 70, from an area with high community risk or with a revised cardiac risk index of 1+. There were 84 major complications (Clavien-Dindo score ≥3). Patients with a concurrent COVID-19 infection (OR 7.45, 95% CI 2.73-20.3, p<0.001) or aged 80 or above were more likely to experience major complications. CONCLUSIONS: Elective urological cancer surgeries are safe to perform during the COVID-19 pandemic. This study highlights important risk-factors associated with worse outcomes. Our data can inform health services to safely select patients for surgery during the pandemic. Patients with concurrent COVID-19 infection have a higher risk of mortality and respiratory complications and should not undergo surgery if possible.

9.
Respiratory Medicine and Research ; : 100933, 2022.
Article in English | ScienceDirect | ID: covidwho-1886059

ABSTRACT

Background Even though COVID-19 clinical features, pathogenesis, complications, and therapeutic options have been largely described in the literature, long-term consequences in patients remain poorly known. Methods The French, multicentre, non-interventional SISCOVID study evaluated lung impairment three (M3) and six months (M6) after hospital discharge in patients recovered from COVID-19. Evaluation was based on clinical examination, pulmonary function tests, and chest computed tomography (CT-scan). Results Of the 320 included patients (mean age: 61 years;men: 64.1%), 205 had had a severe form of COVID-19, being hospitalised in an intensive care unit (ICU), and requiring high flow nasal cannula, non-invasive ventilation, or invasive mechanical ventilation. At M6, 54.1% of included patients had persistent dyspnoea (mMRC score ≥1), 20.1% severe impairment in gas diffusing capacity (DLCO <60% pred.), 21.6% restrictive ventilatory pattern (total lung capacity <80% pred.), and 40% a fibrotic-like pattern at CT-scan. Fibrotic-like pattern and restrictive ventilatory pattern were significantly more frequent in patients recovered from severe than non-severe COVID-19. Improved functional and radiological outcomes were observed between M3 and M6. At M6, age was an independent risk factor for severe DLco impairment and fibrotic-like pattern and severe COVID-19 form was independent risk factor for restrictive ventilatory profile and fibrotic-like pattern. Conclusion Six months after discharge, patients hospitalised for COVID-19, especially those recovered from a severe form of COVID-19, frequently presented persistent dyspnoea, lung function impairment, and persistent fibrotic-like pattern, confirming the need for long-term post-discharge follow-up in these patients and for further studies to better understand long-term COVID-19 lung impairment.

10.
Clinica Chimica Acta ; 530:S185, 2022.
Article in English | EMBASE | ID: covidwho-1885656

ABSTRACT

Background-aim: In addition to typical respiratory symptoms, COVID-19 is associated with coagulation abnormalities that lead to thromboembolic complications. Methods: Retrospective study of critically ill patients admitted to an intensive care unit (ICU) a cause of severe COVID-19 pneumonia (Group 1) and we evaluated coagulation function using coagulation standard parameters on day of admission (T0) and 10 (T10) days after admission to ICU and rotational thromboelastometry (ClotPro). In addition, we compared coagulation standard parameters to patients with severe non–COVID-19 pneumonia (Group 2). Results: Eighty-four patients participated in our study. Traditional coagulation parameters were similar between group 1 and group 2. Only D-dimer levels (2442.11 ng / ml vs 370 ng / ml, p = 0.03) were significantly higher in COVID-19 pneumonia than in non-COVID-19 pneumonia. In addition, we concluded an increase in D-dimer levels during the hospital stay (T0 = 2442.11 ng / ml vs T10 = 8564.39 ng / ml, p = 0.000). Finally, patients with SARS-CoV-2 pneumonia exhibited hypercoagulant thromboelatometry profiles, characterized by elevated maximum clot firmness (MCF) values. Conclusions: The results observed in our study support hypercoagulability in a severe inflammatory state, rather than a disseminated intravascular coagulation (DIC). More studies are needed to allow a better understanding of the coagulopathy produced in patients with severe COVID-19 pneumonia.

11.
Clinica Chimica Acta ; 530:S183-S184, 2022.
Article in English | EMBASE | ID: covidwho-1885655

ABSTRACT

Background-aim: Critically ill patients with COVID-19 pneumonia suffered both high thrombotic and bleeding risk. The effect of SARS-CoV-2 on coagulation and fibrinolysis is not well known. Methods: Retrospective cohort study including 84 patients, during 16 months, divided into two groups: patients with severe SARS-Cov-2 pneumonia (group 1, N=42) and patients with severe non-COVID-19 pneumonia (group 2, N=42). We evaluated coagulation standard parameters (hemoglobin, platelet count and conventional laboratory coagulation tests) in group 1 vs group 2 and coagulation standard parameters on day of admission (T0) and 10 (T10) days after admission to ICU and coagulation function using rotational thromboelastometry (ROTEM) in patients with severe SARS-Cov-2 pneumonia. Results: 84 patients were enrolled into the study. Similar results in conventional laboratory coagulation tests were detected in group 1 and group 2: prothrombin time (15.14s vs 14.76s, p=0.212), international normalized ratio (1.21 vs 1.19, p=0.112), activated partial thromboplastin time (32.17s vs 25.52s, p=0.06), fibrinogen level (6.15 mg/dl vs 3.39 mg/dl, p=0.208), hemoglobin (11.81 g/dl vs 11.20 g/dl, p=0.139) and platelet count (208.98x103/ul vs 288.74 x103/ul, p=0.123). However, a statistically significant difference was observed in the D-dimer count (2442.11 ng/ml vs 370 ng/ml, p=0.03). In addition, statistically significant increase in D-dimer count during Intensive Care Unit (ICU) stay (T0=2442.11 ng/ml vs T10=8564.39 ng/ml, p=0.000) in group 1 were detected. Finally, blood thromboelastometry profiles were consistent with hypercoagulability characterized by higher clot strength (MCF or maximum clot firmness close to upper limit in FIBTEM test, MCF median value= 25.9 mm). Clotting time presented normal results in INTEM (163.41 s) and EXTEM (68.74 s). No sign of secondary hyperfibrinolysis were found during the study period. In six patients a deep vein thrombosis and in six patients a thromboembolic event. Eighteen patients (43%) died during hospitalization due to coagulopathy produced by SARS-Cov-2 pneumonia. Conclusions: The results observed in our study support hypercoagulability in a severe inflammatory state, rather than a Consumption Coagulopathy (DIC) state. More studies are needed to better understanding of coagulopathy produced in patients with severe COVID-19 pneumonia.

12.
Crit Care ; 26(1): 176, 2022 06 13.
Article in English | MEDLINE | ID: covidwho-1886957

ABSTRACT

OBJECTIVE: To assess the impact of treatment with steroids on the incidence and outcome of ventilator-associated pneumonia (VAP) in mechanically ventilated COVID-19 patients. DESIGN: Propensity-matched retrospective cohort study from February 24 to December 31, 2020, in 4 dedicated COVID-19 Intensive Care Units (ICU) in Lombardy (Italy). PATIENTS: Adult consecutive mechanically ventilated COVID-19 patients were subdivided into two groups: (1) treated with low-dose corticosteroids (dexamethasone 6 mg/day intravenous for 10 days) (DEXA+); (2) not treated with corticosteroids (DEXA-). A propensity score matching procedure (1:1 ratio) identified patients' cohorts based on: age, weight, PEEP Level, PaO2/FiO2 ratio, non-respiratory Sequential Organ Failure Assessment (SOFA) score, Charlson Comorbidity Index (CCI), C reactive protein plasma concentration at admission, sex and admission hospital (exact matching). INTERVENTION: Dexamethasone 6 mg/day intravenous for 10 days from hospital admission. MEASUREMENTS AND MAIN RESULTS: Seven hundred and thirty-nine patients were included, and the propensity-score matching identified two groups of 158 subjects each. Eighty-nine (56%) DEXA+ versus 55 (34%) DEXA- patients developed a VAP (RR 1.61 (1.26-2.098), p = 0.0001), after similar time from hospitalization, ICU admission and intubation. DEXA+ patients had higher crude VAP incidence rate (49.58 (49.26-49.91) vs. 31.65 (31.38-31.91)VAP*1000/pd), (IRR 1.57 (1.55-1.58), p < 0.0001) and risk for VAP (HR 1.81 (1.31-2.50), p = 0.0003), with longer ICU LOS and invasive mechanical ventilation but similar mortality (RR 1.17 (0.85-1.63), p = 0.3332). VAPs were similarly due to G+ bacteria (mostly Staphylococcus aureus) and G- bacteria (mostly Enterobacterales). Forty-one (28%) VAPs were due to multi-drug resistant bacteria. VAP was associated with almost doubled ICU and hospital LOS and invasive mechanical ventilation, and increased mortality (RR 1.64 [1.02-2.65], p = 0.040) with no differences among patients' groups. CONCLUSIONS: Critically ill COVID-19 patients are at high risk for VAP, frequently caused by multidrug-resistant bacteria, and the risk is increased by corticosteroid treatment. TRIAL REGISTRATION: NCT04388670, retrospectively registered May 14, 2020.


Subject(s)
COVID-19 , Pneumonia, Ventilator-Associated , Adult , COVID-19/drug therapy , COVID-19/epidemiology , Cohort Studies , Dexamethasone/therapeutic use , Humans , Incidence , Intensive Care Units , Pneumonia, Ventilator-Associated/drug therapy , Pneumonia, Ventilator-Associated/epidemiology , Pneumonia, Ventilator-Associated/etiology , Respiration, Artificial/adverse effects , Retrospective Studies
13.
J Adv Nurs ; 2022 Jun 14.
Article in English | MEDLINE | ID: covidwho-1886682

ABSTRACT

AIM: To investigate the impact of family visit restrictions during the COVID-19 pandemic on deliriums, falls, pneumonia, pressure ulcers and readmissions among surgical inpatients with gastrointestinal (oncologic) diseases. DESIGN: Cohort study. METHODS: This study was conducted among adult inpatients undergoing gastrointestinal surgery in two academic hospitals. During the COVID-19 outbreak in 2020, over a 10-week period, one cohort was subjected to family visit restrictions. Per patient, one person per day was allowed to visit for a maximum of 30 min. This cohort was compared with another cohort in which patients were not subjected to such restrictions during a 10-week period in 2019. Logistic regression analyses were used to investigate the impact of the restrictions on deliriums, falls, pneumonia, pressure ulcers and readmissions. RESULTS: In total, 287 patients were included in the 2020 cohort and 243 in the 2019 cohort. No differences were observed in the cohorts with respect to baseline characteristics. Logistic regression analyses showed no significant differences in deliriums, falls, pneumonia, pressure ulcers and readmissions between the cohorts. CONCLUSION: We cautiously conclude that the family visit restrictions during the COVID-19 pandemic did not contribute to deliriums, falls, pneumonia, pressure ulcers or readmissions in surgical patients with gastrointestinal (oncologic) diseases. IMPACT: COVID-19 influenced family-centred care due to family visit restrictions. Nurses need to continue monitoring outcomes known to be sensitive to family-centred care to gain insight into the effects of visit restrictions and share the results in order to include nurses' perspectives in COVID-19-decision-making. Re-implementing of family visit restrictions should be carefully considered in policy-making.

14.
Radiol Case Rep ; 17(8): 2869-2873, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1886049

ABSTRACT

Superior mesenteric artery (SMA) and superior mesenteric vein (SMV) thrombotic occlusion is a rare but potentially fatal condition. Though isolated mesenteric arterial occlusion associated with COVID-19 has been reported in literature, combined superior mesenteric arterial and venous thrombosis is very rare. We report the case of an 88-years-old woman with a combined superior mesenteric arterial and venous thrombotic occlusion with a previous COVID-19 pneumonia of about 15 days before, diagnosed at computed tomography angiography (CTA) scan. CTA had an important key-role for the diagnosis and evaluation of the severity of the mesenteric venous and arterious thrombosis.

15.
Med J Armed Forces India ; 2022 Jun 10.
Article in English | MEDLINE | ID: covidwho-1885995

ABSTRACT

Background: There is a lack of real-world evidence evaluating the disease outcomes and patient features in vaccinated coronavirus disease (COVID-19) cases. This study aimed to address this scientific need gap and also compare characteristics between the partially vaccinated and fully vaccinated COVID-19 patients in India. Methods: This observational cross-sectional study included data of adult patients diagnosed with COVID-19 at a tertiary care Indian hospital with a history of at least single-dose COVID-19 vaccination. Overall evaluation of patient features and disease characteristics was done. Patients were segregated into two groups based on vaccination status (partial or fully vaccinated), and characteristics were compared between these two groups along with COVID-19 outcomes. Results: Data of 403 vaccinated patients treated for breakthrough COVID-19 infection postvaccination was evaluated. The mean age was 47.7 ± 15.3 years (range: 19-87 years), with the majority being males (73.94%); 54.1% of evaluated cases were fully vaccinated; 74.93% of cases were asymptomatic. The majority of the symptomatic cases (60.39%) suffered from only mild-moderate symptoms; 72.7% of cases needed only home isolation, while only 1.99% died. A significantly higher number of partially vaccinated COVID-19 patients had severe COVID-19 pneumonia vs. fully vaccinated ones (14.59% vs. 5.96%, p < 0.05). The relative risk (RR) for the development of severe COVID-19 infection was 0.32 for the fully vaccinated subgroup, which was a significant finding (CI: 0.19-0.55, p < 0.05). Conclusion: The majority of vaccinated COVID-19 patients are asymptomatic or suffer from mild clinical features, which can be managed with home isolation. Fully vaccinated patients have a lower risk of developing severe COVID-19 infection in comparison to partially vaccinated cases.

16.
J Ultrasound Med ; 2022 Jun 11.
Article in English | MEDLINE | ID: covidwho-1885419

ABSTRACT

OBJECTIVE: To investigate the accuracy of ultrasonic diagnosis using the tele-ultrasound robot in Leishen Shan Hospital. METHOD: Twenty-two patients with novel coronavirus pneumonia from Leishen Shan Hospital voluntarily participated in this study. Their thyroids, neck vessels, hepatobiliaries and kidneys were scanned by both tele-ultrasound robot manufactured by Imabot Co., Ltd, Wuhan and conventional method. The ultrasound diagnosis of each patient was compared, and the ultrasound images obtained by the two methods were mixed together and double-blindly diagnosed by an experienced ultrasound radiologist. RESULTS: There were 44 positive lesions in 110 sites of 22 patients. Of which the two methods, 40 positive lesions were detected by the robotic method with 4 lesions missed (2 small polyps of gallbladder, 1 small hemangioma of liver and 1 small cyst of kidney) and 1 lesion misdiagnosed (normal carotid artery was misdiagnosed as carotid atherosclerotic plaque); 44 positive lesions were detected by conventional method with 1 small cyst of the liver was missed. There was no statistically significant difference in the accuracy rate between the robotic method and the conventional method using the chi-square test of the four-grid data (P>.05). CONCLUSION: The application of tele-ultrasound robot meets the standard of patient care during the pandemic. The method is feasible to provide adequate ultrasound information to diagnose common abdominal, vascular, superficial organ pathologies in patients with COVID-19 with acceptable accuracy compared with a conventional ultrasound scan.

17.
Anestezi Dergisi ; 30(2):143-145, 2022.
Article in English | EMBASE | ID: covidwho-1885091

ABSTRACT

After cardiac surgeries performed with sternotomy, neuraxial techniques, fascial plane blocks and intravenous analgesics are often used for both accelerating wound healing and early recovery of lung functions by providing effective postoperative analgesia. In this case report, we share a case of sternal revision performed with sedation and transversus thoracic muscle plane block (TTMPB) in an ASA III patient who required sternum revision after coronary artery bypass graft (CABG) surgery but had limited lung capacity due to previous COVID-19 pneumonia, considering that general anesthesia would be high-risk.

18.
Pakistan Journal of Medical and Health Sciences ; 16(5):137-139, 2022.
Article in English | EMBASE | ID: covidwho-1885028

ABSTRACT

Aim: To compare chest computed tomography (CT) diagnosis of ground glass opacities in the COVID-19 patients. Study design: Retrospective study. Place and duration of study: Department of Radiology, Ghulam Muhammad Mahar Medical College Sukkur from 1st July 2020 to 31 August 2021. Methodology: Fifty patients on differential CT diagnosis of ground glass opacities seen in COVID 19 patients were enrolled. Thoracic CT images by applying auto exposure-control settings and ranges of scan were done. The noise-index was kept as 12.3. Using helical 16 slice Alexion CT-Toshiba. Keeping a comparison with viral infection CT images a list of 7 signs which were positive for Covid CT scan were recorded. Peripheral lesions meant any lesions which effects peripheral area up to 3 to 4 cm lung periphery with/without having central dispersal. A hazy-opacity was termed as ground glass. Results: Mean age of the patients was 49.1±10.2 years with 27 (54%) males and 23(46%) females. Mix ground glass opacitites and consolidation were also the features of the CT imaging in coronavirus posisitve cases. Man-Whitney test results showed that combined-CT scoring had a SE value as 0.044 with a confidence interval between 0.756-0.927. Comparing the differential CT values within COVID and non COVID patients based on RT PCR results it was observed that posterior region lower lobe involvement was a feature of COVID-19 patients while crazy paving pattern and peripheral distribution was also seen in corona patients. Conclusion: Present study highlights that chest CT helps in differentitaing corona virus from other causes of pneumonias and grond glass opacities.

19.
Indian Journal of Public Health Research and Development ; 13(2):134-136, 2022.
Article in English | EMBASE | ID: covidwho-1884989

ABSTRACT

Recognition of donor antigens by recipient T cells in secondary lymphoid organs initiates the adaptive inflammatory immune response leading to the rejection of allogeneic transplants. We present a unique case of a 38-year-old male with late allograft rejection due to immunosuppressive cytotoxic therapy. There is limited literature available as well as management. This case highlights the need for further investigative research of this entity and its pathogenesis.

20.
Intelligent Automation and Soft Computing ; 34(2):733-752, 2022.
Article in English | English Web of Science | ID: covidwho-1884970

ABSTRACT

This paper presents effective techniques for automatic detection/classification of COVID-19 and other lung diseases using machine learning, including deep learning with convolutional neural networks (CNN) and classical machine learning techniques. We had access to a large number of chest X-ray images to use as input data. The data contains various categories including COVID-19, Pneumonia, Pneumothorax, Atelectasis, and Normal (without disease). In addition, chest X-ray images with many findings (abnormalities and diseases) from the National Institutes of Health (NIH) was also considered. Our deep learning approach used a CNN architecture with VGG16 and VGG19 models which were pre-trained with ImageNet. We compared this approach with the classical machine learning approaches, namely Support Vector Machine (SVM) and Random Forest. In addition to independently extracting image features, pre-trained features obtained from a VGG19 model were utilized with these classical machine learning techniques. Both binary and categorical (multi-class) classification tasks were considered on classical machine learning and deep learning. Several X-ray images ranging from 7000 images up to 11500 images were used in each of our experiments. Five experimental cases were considered for each classification model. Results obtained from all techniques were evaluated with confusion matrices, accuracy, precision, recall and F1-score. In summary, most of the results are very impressive. Our deep learning approach produced up to 97.5% accuracy and 98% F1-score on COVID-19 vs. non-COVID-19 (normal or diseases excluding COVID-19) class, while in classical machine learning approaches, the SVM with pretrained features produced 98.9% accuracy, and at least 98.2% precision, recall and F1-score on COVID-19 vs. non-COVID-19 class. These disease detection models can be deployed for practical usage in the near future.

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