35 research outputs found

    Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study

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    Background: The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on postoperative recovery needs to be understood to inform clinical decision making during and after the COVID-19 pandemic. This study reports 30-day mortality and pulmonary complication rates in patients with perioperative SARS-CoV-2 infection. Methods: This international, multicentre, cohort study at 235 hospitals in 24 countries included all patients undergoing surgery who had SARS-CoV-2 infection confirmed within 7 days before or 30 days after surgery. The primary outcome measure was 30-day postoperative mortality and was assessed in all enrolled patients. The main secondary outcome measure was pulmonary complications, defined as pneumonia, acute respiratory distress syndrome, or unexpected postoperative ventilation. Findings: This analysis includes 1128 patients who had surgery between Jan 1 and March 31, 2020, of whom 835 (74·0%) had emergency surgery and 280 (24·8%) had elective surgery. SARS-CoV-2 infection was confirmed preoperatively in 294 (26·1%) patients. 30-day mortality was 23·8% (268 of 1128). Pulmonary complications occurred in 577 (51·2%) of 1128 patients; 30-day mortality in these patients was 38·0% (219 of 577), accounting for 81·7% (219 of 268) of all deaths. In adjusted analyses, 30-day mortality was associated with male sex (odds ratio 1·75 [95% CI 1·28–2·40], p\textless0·0001), age 70 years or older versus younger than 70 years (2·30 [1·65–3·22], p\textless0·0001), American Society of Anesthesiologists grades 3–5 versus grades 1–2 (2·35 [1·57–3·53], p\textless0·0001), malignant versus benign or obstetric diagnosis (1·55 [1·01–2·39], p=0·046), emergency versus elective surgery (1·67 [1·06–2·63], p=0·026), and major versus minor surgery (1·52 [1·01–2·31], p=0·047). Interpretation: Postoperative pulmonary complications occur in half of patients with perioperative SARS-CoV-2 infection and are associated with high mortality. Thresholds for surgery during the COVID-19 pandemic should be higher than during normal practice, particularly in men aged 70 years and older. Consideration should be given for postponing non-urgent procedures and promoting non-operative treatment to delay or avoid the need for surgery. Funding: National Institute for Health Research (NIHR), Association of Coloproctology of Great Britain and Ireland, Bowel and Cancer Research, Bowel Disease Research Foundation, Association of Upper Gastrointestinal Surgeons, British Association of Surgical Oncology, British Gynaecological Cancer Society, European Society of Coloproctology, NIHR Academy, Sarcoma UK, Vascular Society for Great Britain and Ireland, and Yorkshire Cancer Research

    Phenotyping congestion in acute heart failure by renal flow and right heart to pulmonary circulation coupling

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    Abstract Aims In acute heart failure (AHF), kidney congestion is basic to treatment and prognosis. Its aetiology is manifold and quite unexplored in details mainly regarding the right heart to pulmonary circulation (Pc) coupling. We investigated the right heart to kidney interrelationship by Doppler renal flow pattern, right atrial dynamics, and right ventricular (RV) function to Pc coupling in AHF. Methods and results In 119 AHF patients, echocardiographic and renal Doppler data were analysed. Univariate and multivariate regression models were performed to define the determinants of a quantitative parameter of renal congestion, the renal venous stasis index (RVSI). When grouped according to different intra‐renal venous flow patterns, no differences were observed in haemodynamics and baseline renal function. Nonetheless, patients with renal Doppler evidence of congestion showed a reduced RV function [tricuspid annular plane systolic excursion (TAPSE), S′‐wave velocity, and fractional area change], impaired RV to Pc coupling [TAPSE/pulmonary artery systolic pressure (PASP) ratio], and right atrial peak longitudinal strain (RAPLS), along with signs of volume overload [increased inferior vena cava (IVC) diameters and estimated right atrial pressure]. Univariate and multivariate regression analyses confirmed TAPSE/PASP, RAPLS, and IVC diameter as independent determinants of the RVSI. RVSI was the only variable predicting the composite outcome (cardiac death, heart failure hospitalization, and haemodialysis). An easy‐to‐use echo‐derived right heart score of four variables provided good accuracy in identifying kidney congestion. Conclusions In AHF, the renal venous flow pattern combined with a right heart study phenotypes congestion and clinical evolution. Keys to renal flow disruption are an impaired right atrial dynamics and RV–Pc uncoupling. Integration of four right heart echocardiographic variables may be an effective tool for scoring the renal congestive phenotype in AHF

    Transcatheter Pulmonary Valve Implantation in Repaired Tetralogy of Fallot and Anomalous Left Coronary Artery Origin

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    We describe a rare and extremely challenging case of transcatheter pulmonary valve implantation in repaired tetralogy of Fallot and anomalous origin of the left main coronary artery from the right coronary sinus. Procedural planning based on advanced multimodality imaging and 3-dimensional technology proved to be the key to procedural success

    Transcatheter Aortic Valve Implantation for Bicuspid Aortic Valve Disease: Procedural Planning and Clinical Outcomes

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    Bicuspid aortic valve (BAV) is the most common congenital heart disease, with a prevalence of 1–2% and occurring in >20% of octogenarians referred for aortic valve replacement. However, BAV patients have been systematically excluded from pivotal randomized trials. Since TAVI indications are moving toward low-risk patients, an increase in the number of BAV patients who undergo TAVI is expected. BAV represents a challenge due to its unique morphological features (raphe, extreme asymmetrical valve calcifications, cusp asymmetry and aortopathy) and the lack of consensus about the accurate sizing method. The role of multi-slice computed tomography (MSCT) in the planification of the TAVI procedure is well-established, being useful to define the optimal valve sizing and the implantation strategy. New-generation devices, more experience of the operators and better planification of the procedure have been associated with similar clinical outcomes in bicuspid and tricuspid patients undergoing TAVI

    Epicardial fat inflammation response to COVID‐19 therapies

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    OBJECTIVE: Adipose tissue plays a role in the novel coronavirus disease 2019 (COVID‐19). Epicardial adipose tissue (EAT), a unique visceral fat, presents with high degree of inflammation in severe COVID‐19 disease. Whether and how adipose tissue may respond to the COVID‐19 therapies is unknown. METHODS: We retrospectively analyzed the difference in computed tomography (CT) measured EAT and subcutaneous (SAT) attenuation, defined as mean attenuation expressed in Hounsfield units (HU), in 72 patients [mean±SD age was 59.6±12.4 years, 50 (69%) were men] at the hospital admission for COVID‐19 and 99 days [IQR (71‐129)] after discharge. RESULTS: At the admission, EAT HU was significantly correlated with blood glucose levels, interleukin 6 , troponin T levels and waist circumference. EAT HU decreased from ‐87.21±16.18 to ‐100.0±11 (p<0.001) whereas SAT HU did not change (‐110.21±12.1 to ‐111.11±27.82, p=0.78) after therapy. Changes in EAT HU (expressed as ∆) significantly correlated with dexamethasone therapy (r= ‐ 0.46, p= 0.006), and when dexamethasone was combined with tocilizumab (r= ‐0.24, p=0.04). CONCLUSIONS: Dexamethasone therapy was associated with significant reduction of EAT inflammation in COVID‐19 patients, whereas SAT showed no changes. Anti‐inflammatory therapies targeting visceral fat may be helpful in COVID‐19 diseases

    The MIS-COVID-AGICT Study: Trend of Minimally Invasive Surgery for Gastrointestinal Cancer Treatment During the First Waves of the COVID-19 Pandemic in Italy. Subgroup Analysis from the COVID-AGICT Study: COVID-19 and Advanced Gastrointestinal Cancer Surgical Treatment

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    Background: A preliminary analysis from the COVID-Advanced Gastrointestinal Cancer Surgical Treatment (AGICT) study showed that the rate of minimally invasive surgery (MIS) for elective and urgent procedures did not decrease during the pandemic year. In this article, we aimed to perform a subgroup analysis using data from the COVID-AGICT study to evaluate the trend of MIS during the COVID-19 pandemic period in Italy.Methods: This study was conducted collecting data of MIS patients from the COVID-AGICT database. The primary endpoint was to demonstrate whether the SARS-CoV-2 pandemic scenario reduced MIS for elective treatment of gastrointestinal cancer (GIC) in Italy in 2020. The secondary endpoint was to evaluate the impact of the pandemic period on perioperative outcomes in the MIS group.Results: In the pandemic year, 62% of patients underwent surgery with a minimally invasive approach, compared to 63% in 2019 (P = .23). In 2020, the proportion of patients undergoing elective MIS decreased compared to the previous year (80% versus 82%, P = .04), and the rate of urgent MIS did not differ between the 2 years (31% and 33% in 2019 and 2020 - P = .66). Colorectal cancer was less likely to be treated with MIS approach during 2020 (78% versus 75%, P &lt; .001). Conversely, the rate of MIS pancreatic resection was higher in 2020 (28% versus 22%, P &lt; .002). Conversion to an open approach was lower in 2020 (7.2% versus 9.2% - P = .01). Major postoperative complications were similar in both years (11% versus 11%, P = .9).Conclusion: In conclusion, although MIS for elective treatment of GIC in Italy was reduced during the COVID-19 pandemic period, our study revealed that the overall proportion of MIS (elective and urgent) and postoperative outcomes were comparable to the prepandemic period

    The COVID - AGICT study: COVID–19 and advanced gastro-intestinal cancer surgical treatment. A multicentric Italian study on the SARS-CoV-2 pandemic impact on gastro-intestinal cancers surgical treatment during the 2020. Analysis of perioperative and short-term oncological outcomes

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    Background This Italian multicentric retrospective study aimed to investigate the possible changes in outcomes of patients undergoing surgery for gastrointestinal cancers during the COVID-19 pandemic. Method Our primary endpoint was to determine whether the pandemic scenario increased the rate of patients with colorectal, gastroesophageal, and pancreatic cancers resected at an advanced stage in 2020 compared to 2019. Considering different cancer staging systems, we divided tumors into early stages and advanced stages, using pathological outcomes. Furthermore, to assess the impact of the COVID-19 pandemic on surgical outcomes, perioperative data of both 2020 and 2019 were also examined. Results Overall, a total of 8250 patients, 4370 (53%) and 3880 (47%) were surgically treated during 2019 and 2020 respectively, in 62 Italian surgical Units. In 2020, the rate of patients treated with an advanced pathological stage was not different compared to 2019 (P = 0.25). Nevertheless, the analysis of quarters revealed that in the second half of 2020 the rate of advanced cancer resected, tented to be higher compared with the same months of 2019 (P = 0.05). During the pandemic year ‘Charlson Comorbidity Index score of cancer patients (5.38 ± 2.08 vs 5.28 ± 2.22, P = 0.036), neoadjuvant treatments (23.9% vs. 19.5%, P &lt; 0.001), rate of urgent diagnosis (24.2% vs 20.3%, P &lt; 0.001), colorectal cancer urgent resection (9.4% vs. 7.37, P &lt; 0.001), and the rate of positive nodes on the total nodes resected per surgery increased significantly (7 vs 9% - 2.02 ± 4.21 vs 2.39 ± 5.23, P &lt; 0.001). Conclusions Although the SARS-CoV-2 pandemic did not influence the pathological stage of colorectal, gastroesophageal, and pancreatic cancers at the time of surgery, our study revealed that the pandemic scenario negatively impacted on several perioperative and post-operative outcomes

    Performance of a modular ton-scale pixel-readout liquid argon time projection chamber

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    International audienceThe Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. In this paper, we present an analysis of an eight-day data set consisting of 25 million cosmic ray events collected in the spring of 2021. We use this sample to demonstrate the imaging performance of the charge and light readout systems as well as the signal correlations between the two. We also report argon purity and detector uniformity measurements, and provide comparisons to detector simulations

    Performance of a modular ton-scale pixel-readout liquid argon time projection chamber

    No full text
    International audienceThe Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. In this paper, we present an analysis of an eight-day data set consisting of 25 million cosmic ray events collected in the spring of 2021. We use this sample to demonstrate the imaging performance of the charge and light readout systems as well as the signal correlations between the two. We also report argon purity and detector uniformity measurements, and provide comparisons to detector simulations

    Performance of a modular ton-scale pixel-readout liquid argon time projection chamber

    No full text
    The Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. In this paper, we present an analysis of an eight-day data set consisting of 25 million cosmic ray events collected in the spring of 2021. We use this sample to demonstrate the imaging performance of the charge and light readout systems as well as the signal correlations between the two. We also report argon purity and detector uniformity measurements, and provide comparisons to detector simulations
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