Non Covid 19 Patients(비 코로나19 환자)란 무엇입니까?
Non Covid 19 Patients 비 코로나19 환자 - Methods A retrospective study of COVID-19 and non-COVID-19 patients undergoing Biofire®, FilmArray® Pneumonia Panel, bioMérieux, and routine cultures during the first 3 days from admission, between June 2019 and March 2021. [1] To address this, an analysis was completed from the Colorado All Payer Claims Data through June 30, 2020, using a matched design to non-COVID-19 patients. [2] METHODS: The single-center case-control study included 40 patients hospitalized for COVID-19 associated pneumonia confirmed by high-resolution CT and 40 non-COVID-19 patients with no signs of lung damage as a control group. [3] Not exhaustive data are available on the consequences of this on non-COVID-19 patients. [4] On the other hand, they need to consider the need of bed resources from non-COVID-19 patients, including emergency and elective patients. [5] Surface Plasmon Resonance imaging (SPRi) was used to determine the presence and strength of binding of IgG, IgM and IgA against the Receptor Binding Domain (RBD) of SARS-CoV-2 in sera of 102 CoViD-19 and non-CoViD-19 patients. [6] COVID-19-specific patient flows and a surgical patient flow network were constructed based on data of 475 COVID-19 patients and 28,831 non-COVID-19 patients in Addenbrooke’s hospital in the UK. [7] The novelty of the work proposed in this paper is an early prediction model of high mortality risk for both COVID-19 and non-COVID-19 patients, which provides state-of-the-art performance, in an external validation cohort from a different population. [8] Early in the pandemic, much of this focus was on hospital and emergency department care delivery models to ensure the safety of non-COVID-19 patients and health care workers. [9] In addition, we investigate the role of autoAbs against IFN-I that were not neutralizing in vitro in COVID-19 and non-COVID-19 patients. [10] Thus, platelet count and plateletcrit was lower in COVID-19 patients, whilst mean platelet volume, platelet distribution width, and platelet large cell ratio was significantly higher than in non-COVID-19 patients. [11] Here, metabolomic analysis of blood, urine, and nasopharyngeal swabs from a group of COVID-19 and non-COVID-19 patients, and metagenomic analysis of pharyngeal samples were used to identify the key features of COVID-19. [12] The actual number of non-COVID-19 patients with urgent and emergent health needs was estimated to be about 6,966. [13] Among the non-COVID-19 patients, only 4% showed these plasma sodium concentration fluctuations (5 of 138). [14] sST2 levels were higher in patients with a positive history of COVID-19 as compared with non-COVID-19 patients, but the differences were statistically significant only within the control group. [15] Since the beginning of the SARS-CoV-2 spread outside China, several hospitals have changed their organisation to increase critical care capacity and isolation areas to COVID19 patients as well as to generate new flows to guarantee safety and care to non-COVID-19 patients. [16] Conclusion The statistical analysis shows fatty liver is significantly more prevalent among COVID-19 against non-COVID-19 patients, and they develop more severe disease and tend to be hospitalized for more extended periods. [17] was the dominant cause of HAIs and more frequently isolated than in non-COVID-19 patients. [18] Compared with the COVID-19 patients, the non-COVID-19 patients had higher proportions of fatigue, sore throat, expectorant and chest tightness (all P<0. [19] Methods: We evaluated the performance in real-life conditions of a strategy combining Ag-RDT and chest computed tomography (CT) to rule out COVID-19 infection in 1015 patients presenting in the ED between 16 November 2020 and 18 January 2021 in order to allow non-COVID-19 patients to be hospitalized in dedicated units directly. [20] We compared filter survival and citrate-induced complications during CRRT with regional citrate anticoagulation (RCA) in COVID-19 and Non-COVID-19 patients. [21] Since its appearance, the number of non-COVID-19 patients admitted to hospitals has decreased and patients differ care for emergency diseases. [22] 001), as did RNs caring for more non-COVID-19 patients (p = 0. [23] Here, we performed longitudinal analyses of throat and anal swabs from 35 COVID-19 and 19 healthy adult controls, as well as 10 non-COVID-19 patients with other diseases, by 16 S rRNA gene sequencing. [24] 2% (298/2,098) among non-COVID-19 patients. [25] Compared to non-Covid-19 patients with VAEs, Covid-19 patients with VAEs had similar rates of infection-related ventilator-associated complications, longer median duration of mechanical ventilation (22 vs 14 days, p<. [26] The analysis of Differential Expressed genes in COVID-19 positive patients compared to non-COVID-19 patients is published in: S. [27] Results: We found that COVID-19 patients included asymptomatic carriers had worse pulmonary function compared to non-COVID-19 patients even when they were hospitalized. [28] Methods A prevalence study compared the characteristics of COVID-19 patients with non-COVID-19 patients from January 19, 2020, to February 18, 2020, during the COVID-19 outbreak. [29] No cross-reactivity was yielded from 41 oropharynx swab samples collected from non-COVID-19 patients. [30] The impact of these measures on non-COVID-19 patients remains largely unexplored. [31] In patients with respiratory tract infections, including influenza A (H1N1), many studies have demonstrated an increased incidence of thromboses, but evidence is lacking regarding the risk difference (RD) of the occurrence of VTE between COVID-19 and non-COVID-19 patients. [32] CONCLUSION COVID-19 clinical risk stratification on initial assessment effectively identifies non-COVID-19 patients. [33] Background Differences in physiology of ARDS have been described between COVID-19 and non-COVID-19 patients. [34] , hypertension, diabetes) had more pronounced endothelial activation hallmarks than non-COVID-19 patients with matched cardiovascular risk. [35] We aimed to discover the prevalence of drug utilisation (monotherapy and polytherapy) in COVID-19 versus non-COVID-19 patients in Campania (~ 6 million inhabitants). [36] BACKGROUND The canton of Vaud's public health authorities, in Switzerland, invited general practitioners (GPs) to participate in managing suspected COVID-19 patients and continue caring for their non-COVID-19 patients. [37] RESULTS In the group of patients with confirmed COVID-19 pneumonia, echocardiographic findings revealed normal E/e', deceleration time (DT), and transmittal E/A ratio compared to those in the non-COVID-19 patients (p = 0. [38] We analyzed the serum samples from 146 COVID-19 patients and 152 control cases (including 73 non-COVID-19 patients with similar clinical symptoms, 33 tuberculosis patients, and 46 healthy individuals). [39] Conclusion Majority clinical characteristics of pediatric COVID-19 pneumonia patients were milder than non-COVID-19 patients. [40] Second, compared with non-COVID-19 patients with PE, patients with COVID-19 and PE were less likely to have a history of VTE or to be receiving chronic oestrogen therapy, more likely to present with fever, diarrhoea or pulmonary infiltrates, and less likely to have accompanying leg pain or swelling, or a D-dimer >1000 ng/mL; and their thrombosis was less likely to involve the main pulmonary arteries, although there was no difference between groups in the proportion of patients with right ventricular dysfunction. [41] 4 In this study we collected plasma samples from 13 COVID-19 patients and 52 non-COVID-19 patients presenting with COVID-19-like symptoms at the emergency room of Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Donato, San Donato Milanese, Milano, Italy. [42] We aimed to study the possible association of stress hyperglycemia in COVID-19 critically ill patients with prognosis, artificial nutrition, circulating osteocalcin, and other serum markers of inflammation and compare them with non-COVID-19 patients. [43] However, the number of non-COVID-19 patients were small to draw a definitive conclusion. [44] They were compared to non-COVID-19 patients who developed VAP from January 2011 to December 2019 (VAP NO COVID-19) and COVID-19 patients who did not develop VAP (NO VAP COVID-19). [45] In particular, spatial separation of the inpatient ward for non-COVID-19 patients from that designated for patients with suspected or confirmed COVID-19 as well as negative-pressure isolation on the floor of the ward, using an airborne infection isolation device could help prevent nosocomial infection. [46] Brazil concentrates now the largest number of cases in the continent and, as the disease speedily progressed throughout the country, prompt and challenging operational strategies had to be taken by institutions caring for COVID-19 and non-COVID-19 patients in order to assure optimal workflows, triage, and management. [47] The real-world example of 541,221 non-COVID-19 patients who were on statins included those in the diabetes cohort (61. [48]방법 2019년 6월에서 2021년 3월 사이에 입원 후 처음 3 일 동안 Biofire®, FilmArray® Pneumonia Panel, bioMérieux 및 일상 배양을 받는 COVID-19 및 비-COVID-19 환자에 대한 후향적 연구. [1] 이를 해결하기 위해 2020년 6월 30일까지 COVID-19가 아닌 환자와 일치하는 디자인을 사용하여 Colorado All Payer Claims Data에서 분석을 완료했습니다. [2] 방법: 단일 센터 사례-대조군 연구에는 고해상도 CT로 확인된 COVID-19 관련 폐렴으로 입원한 40명의 환자와 폐 손상의 징후가 없는 40명의 비-COVID-19 환자가 대조군으로 포함되었습니다. [3] 비-COVID-19 환자에 대한 이것의 결과에 대한 완전한 데이터는 사용할 수 없습니다. [4] 한편, 응급환자와 선택환자를 포함한 비 코로나19 환자의 침상 자원의 필요성을 고려해야 한다. [5] 표면 플라스몬 공명 영상화(SPRi)를 사용하여 102 CoViD-19 및 비-CoViD-19 혈청에서 SARS-CoV-2의 수용체 결합 도메인(RBD)에 대한 IgG, IgM 및 IgA 결합의 존재 및 강도를 결정했습니다. 환자. [6] COVID-19 특정 환자 흐름과 수술 환자 흐름 네트워크는 영국 애든브룩 병원에서 475명의 COVID-19 환자와 28,831명의 비-COVID-19 환자의 데이터를 기반으로 구축되었습니다. [7] 이 논문에서 제안한 연구의 참신성은 다른 기관의 외부 검증 코호트에서 최첨단 성능을 제공하는 COVID-19 및 비-COVID-19 환자 모두에 대한 높은 사망률 위험의 조기 예측 모델입니다. 인구. [8] 팬데믹 초기에는 코로나19가 아닌 환자와 의료 종사자의 안전을 보장하기 위한 병원 및 응급실 치료 전달 모델에 초점을 맞추었습니다. [9] 또한, 우리는 COVID-19 및 비-COVID-19 환자에서 시험관 내 중화되지 않은 IFN-I에 대한 autoAbs의 역할을 조사합니다. [10] 따라서 혈소판 수와 혈소판 용적률은 COVID-19 환자에서 더 낮았지만 평균 혈소판 부피, 혈소판 분포 너비 및 혈소판 대세포 비율은 비-COVID-19 환자보다 유의하게 높았습니다. [11] 여기에서는 코로나19 및 비 코로나19 환자 그룹의 혈액, 소변, 비인두 면봉 면봉의 대사체 분석과 인두 샘플의 메타게놈 분석을 통해 코로나19의 주요 특징을 식별했습니다. [12] 긴급하고 긴급한 의료가 필요한 비 코로나19 환자의 실제 수는 약 6,966명으로 추산됩니다. [13] 비-COVID-19 환자 중 4%만이 이러한 혈장 나트륨 농도 변동을 보였습니다(138명 중 5명). [14] sST2 수치는 비-코로나19 환자에 비해 코로나19 양성 이력이 있는 환자에서 더 높았지만, 그 차이는 대조군 내에서만 통계적으로 유의했다. [15] SARS-CoV-2가 중국 이외의 지역으로 확산되기 시작한 이래로 여러 병원에서 COVID-19 환자에 대한 중환자 치료 능력 및 격리 구역을 늘리고 비-COVID-19 환자에 대한 안전과 치료를 보장하기 위한 새로운 흐름을 생성하기 위해 조직을 변경했습니다. . [16] 결론 통계분석 결과, 지방간은 비-코로나19 환자에 비해 코로나19에서 유의하게 더 많이 유병되어 있으며, 더 심각한 질병으로 발전하고 더 오랜 기간 입원하는 경향이 있음을 보여줍니다. [17] HAI의 주된 원인이었고 비-COVID-19 환자보다 더 자주 격리되었습니다. [18] 코로나19 환자에 비해 비 코로나19 환자는 피로, 인후통, 거담제, 가슴 답답함의 비율이 더 높았다(모두 P<0. [19] 방법: 2020년 11월 16일부터 2021년 1월 18일 사이에 응급실에 내원한 1015명의 환자를 대상으로 Ag-RDT와 흉부 컴퓨터 단층 촬영(CT)을 결합하여 COVID-19 감염을 배제하는 전략의 실제 조건에서의 성능을 평가했습니다. 비 코로나19 환자가 전용 병동에 직접 입원할 수 있도록 합니다. [20] 우리는 COVID-19 및 비-COVID-19 환자에서 CRRT 동안 필터 생존 및 구연산염 유발 합병증을 지역 구연산염 항응고제(RCA)와 비교했습니다. [21] 등장 이후로 병원에 입원하는 비 코로나19 환자의 수가 감소하고 환자는 응급 질병에 대한 치료가 다릅니다. [22] 001), 더 많은 비-COVID-19 환자를 돌보는 RN이 그랬던 것처럼(p = 0. [23] 여기에서 우리는 16 S rRNA 유전자 시퀀싱을 통해 35명의 COVID-19와 19명의 건강한 성인 대조군, 그리고 다른 질병을 가진 10명의 비COVID-19 환자의 인후 및 항문 면봉에 대한 종단 분석을 수행했습니다. [24] 비-COVID-19 환자 중 2%(298/2,098). [25] VAE가 있는 코비드-19 환자와 비교하여 VAE가 있는 코비드-19 환자는 감염 관련 인공호흡기 관련 합병증의 비율이 비슷했고 기계 환기의 중앙값 기간이 더 길었습니다(22일 대 14일, p<. [26] 비-COVID-19 환자와 비교한 COVID-19 양성 환자의 차등 발현 유전자 분석은 S. [27] 결과: 무증상 보균자가 포함된 COVID-19 환자는 입원하더라도 비-COVID-19 환자에 비해 폐 기능이 더 나쁜 것으로 나타났습니다. [28] 방법 유행성 연구는 COVID-19 발생 기간 동안 2020년 1월 19일부터 2020년 2월 18일까지 COVID-19 환자와 비COVID-19 환자의 특성을 비교했습니다. [29] 코로나19가 아닌 환자로부터 수집한 41개의 구인두 면봉 샘플에서 교차 반응이 나오지 않았습니다. [30] 이러한 조치가 비-COVID-19 환자에 미치는 영향은 아직 많이 알려지지 않았습니다. [31] A형 인플루엔자(H1N1)를 포함한 호흡기 감염 환자의 경우 많은 연구에서 혈전 발생률이 증가했음을 보여주었지만 COVID-19와 비-COVID-19 간의 VTE 발생 위험 차이(RD)에 대한 증거는 부족합니다 환자. [32] 결론 초기 평가에 대한 COVID-19 임상 위험 계층화는 비-COVID-19 환자를 효과적으로 식별합니다. [33] 배경 ARDS의 생리학적 차이는 COVID-19와 비-COVID-19 환자 사이에서 설명되었습니다. [34] , 고혈압, 당뇨병) 심혈관 위험이 일치하는 코로나19가 아닌 환자보다 내피 활성화 특징이 더 뚜렷했습니다. [35] 우리는 캄파니아(약 600만 인구)의 비COVID-19 환자와 비교하여 COVID-19에서 약물 사용(단독 요법 및 다중 요법)의 유행을 발견하는 것을 목표로 했습니다. [36] 배경 스위스에 있는 Vaud의 공중 보건 당국은 일반 개업의(GP)를 초대하여 COVID-19 의심 환자 관리에 참여하고 COVID-19가 아닌 환자를 계속 돌볼 것을 요청했습니다. [37] 결과 코로나19 폐렴이 확인된 환자군에서 심장초음파 소견상 E/e', 감속시간(DT), 전파 E/A 비율은 코로나19가 아닌 환자에 비해 정상이었다(p=0. [38] 우리는 코로나19 환자 146명과 대조군 152명(유사한 임상 증상을 보이는 비 코로나19 환자 73명, 결핵 환자 33명, 건강한 사람 46명 포함)의 혈청 샘플을 분석했다. [39] 결론 소아 코로나19 폐렴 환자의 대부분의 임상적 특징은 코로나19가 아닌 환자보다 경증이었다. [40] 둘째, PE가 있는 비-COVID-19 환자와 비교하여, COVID-19 및 PE 환자는 VTE의 병력이 있거나 만성 에스트로겐 요법을 받고 있을 가능성이 낮고, 발열, 설사 또는 폐 침윤이 나타날 가능성이 더 높습니다. 다리 통증이나 부종을 동반할 가능성이 적거나 D-dimer > 1000ng/mL; 우심실 기능 장애 환자의 비율은 그룹 간에 차이가 없었지만 혈전증은 주요 폐동맥을 침범할 가능성이 적었습니다. [41] 4 이 연구에서 우리는 Istituto di Ricovero e Cura a Character Scientifico(IRCCS) Policlinico San Donato, San Donato Milanese, 밀라노, 이탈리아. [42] 우리는 예후, 인공 영양, 순환 오스테오칼신 및 기타 염증 혈청 마커와 COVID-19 중환자의 스트레스 고혈당증의 가능한 연관성을 연구하고 이를 비-COVID-19 환자와 비교하는 것을 목표로 했습니다. [43] 그러나 코로나19가 아닌 환자의 수가 적었다는 결론을 내리기에는 무리가 있다. [44] 2011년 1월부터 2019년 12월까지 VAP가 발병한 비COVID-19 환자(VAP NO COVID-19)와 VAP가 발병하지 않은 COVID-19 환자(NO VAP COVID-19)를 비교했습니다. [45] 특히, 코로나19가 아닌 환자의 입원병동과 코로나19 의심·확진 환자의 병동을 공간적으로 분리하고 병실 바닥에 공기감염 격리장치를 이용한 음압격리를 시행하면 도움이 될 수 있다. 병원 감염을 예방합니다. [46] 브라질은 현재 대륙에서 가장 많은 사례를 집중시키고 있으며, 질병이 전국적으로 빠르게 진행됨에 따라 최적의 상태를 보장하기 위해 COVID-19 및 비-COVID-19 환자를 돌보는 기관에서 신속하고 도전적인 운영 전략을 취해야 했습니다. 워크플로, 분류 및 관리. [47] 스타틴을 복용하고 있던 541,221명의 비COVID-19 환자의 실제 사례에는 당뇨병 코호트(61. [48]
coronavirus disease 2019 코로나바이러스 질병 2019
Objective: This study aimed to compare the cost of treating coronavirus disease 2019 (COVID-19) and non-COVID-19 patients in our intensive care unit (ICU). [1] Background The medical community has been deeply involved in fighting the Coronavirus disease 2019 (COVID-19) pandemic and, as a consequence, the care of non-COVID-19 patients has been impacted. [2] This review provides an update on awake prone positioning for hypoxaemic respiratory failure, in both coronavirus disease 2019 (COVID-19) and non-COVID-19 patients. [3] Amid the coronavirus disease 2019 (COVID-19) crisis, the core functions of an acute care hospital are to continuously provide essential clinical care services to patients from community at large The dual track healthcare system (DTHS) is a strategy for preventing the hospital infection and allocating the resources of an acute care hospital to treat COVID-19 patients while simultaneously providing indispensable clinical care services for non-COVID-19 patients The key elements of DTHS include compartmentalizing the space within independent buildings, allocating buffer zones for patients who have not been confirmed for COVID-19 infection but require inpatient treatment, delegating manpower with appropriate support, establishing competent in-house laboratory that enables universal COVID-19 screening via reverse transcriptase polymerase chain reaction and employing real-time communication technology The effectiveness of DTHS was confirmed through the results of questionnaire surveys of hospital patients and the research on the qualitative and quantitative changes in the provision of fundamental care services including both acute and continuous clinical care after the care for COVID-19 patients in the hospital With a potential for subsequent explosive community infections, the pandemic public health crisis rendered by COVID-19 will be prolonged Therefore, each acute care hospital should prepare its measures and strategies to mimic the DTHS for the maintenance of the hospital's core functions in anticipation of a revisit of the situation. [4] Background: Coronavirus disease 2019 (COVID-19) pandemic has caused a huge burden on healthcare services worldwide, severely affecting the management of non-COVID-19 patients as well. [5] INTRODUCTION: This study was designed to compare the immature granulocyte (IG) count, IG-to-lymphocyte ratio (IGLR), complete blood count (CBC) values, and inflammatory parameters of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), C-reactive protein (CRP), ferritin level, and CRP-to-albumin ratio (CAR) measured at hospital admission in patients with coronavirus disease 2019 (COVID-19) and non-COVID-19 patients and to compare these parameters between subgroups according to disease severity. [6] Background: Amid the coronavirus disease 2019 (COVID-19) pandemic, we analyzed clinical characteristics of acute lung injury (ALI) in COVID-19 patients and reported their similarity and dissimilarity to those of non-COVID-19 patients in the intensive care unit (ICU). [7]목적: 이 연구는 중환자실(ICU)에서 코로나바이러스감염증-19(COVID-19) 환자와 비COVID-19 환자를 치료하는 비용을 비교하는 것을 목표로 했습니다. [1] 배경 의료계는 2019년 코로나바이러스감염증-19(COVID-19) 전염병 퇴치에 깊이 관여해 왔으며, 그 결과 비-COVID-19 환자의 치료가 영향을 받았습니다. [2] nan [3] nan [4] nan [5] nan [6] nan [7]
intensive care unit 중환자 실
Methods Two tertiary care COVID-19 intensive care units treating 53 patients for 870 patient days were sampled after terminal cleaning and preparation for regular use to treat non-COVID-19 patients. [1] Critically ill, non-COVID-19 patients admitted to the intensive care unit (ICU) during the first wave of the pandemic were matched with patients admitted in the previous year. [2] In this study, we analysed sex hormone levels (estradiol and testosterone) of male and female COVID-19 patients (n = 50) admitted to an intensive care unit (ICU) in comparison to control non-COVID-19 patients at the ICU (n = 42), non-COVID-19 patients with the most prevalent comorbidity (coronary heart diseases) present within the COVID-19 cohort (n = 39) and healthy individuals (n = 50). [3] Methods: We conducted a prospective observational cohort study including critically ill COVID-19 patients and non-COVID-19 patients with pulmonary origin sepsis, admitted to the intensive care unit. [4]방법 870일 동안 53명의 환자를 치료하는 2개의 3차 치료 COVID-19 중환자실을 비-COVID-19 환자 치료를 위한 말기 청소 및 정기 사용 준비 후 표본 추출했습니다. [1] 전염병의 첫 번째 물결 동안 중환자실(ICU)에 입원한 중환자, 비-COVID-19 환자는 전년도에 입원한 환자와 일치했습니다. [2] nan [3] nan [4]
19 patients compared 19명의 환자 비교
The analysis of our data shows an increase in the overall mean dose in COVID-19 patients compared with non-COVID-19 patients. [1] Furthermore, lactate dehydrogenase and the neutrophil/lymphocyte were found significantly high in COVID-19 patients compared to non-COVID-19 patients (P<0. [2] The primary objective of this study was to investigate the risk of ICU bloodstream infection (BSI) in critically ill COVID-19 patients compared to non-COVID-19 patients. [3]우리 데이터 분석은 비-COVID-19 환자와 비교하여 COVID-19 환자의 전체 평균 용량의 증가를 보여줍니다. [1] 또한, 젖산탈수소효소와 호중구/림프구는 코로나19가 아닌 환자에 비해 코로나19 환자에서 유의하게 높은 것으로 나타났습니다(P<0. [2] nan [3]