| Literature DB >> 33989754 |
Marco Scarci1, Federico Raveglia2, Luigi Bortolotti3, Mauro Benvenuti4, Luca Merlo5, Lea Petrella6, Giuseppe Cardillo7, Gaetano Rocco8.
Abstract
We reviewed surgical cases from 4 Thoracic Surgery departments in the Lombardia region of Italy, the area mostly affected by Coronavirus pandemic in Europe, with the aim to describe the impact of COVID-19 on the treatment of thoracic surgical patients. Clinical, radiological and laboratory data from patients who underwent lung resection from December 2019 to March 2020 were retrospectively collected until June 2020. Univariable Cox regression models were estimated to evaluate potential prognostic factors for developing COVID-19 and to investigate postoperative mortality among patients who developed symptomatic COVID-19 infection. We examined data from 107 patients. (74 lobectomies, 32 wedge/segmentectomies and 1 pneumonectomy). Twelve patients developed COVID-19 (Group 1), whereas 95 patients were not infected (Group 2). In Group 1, 6 patients (50%) died from complications related to infection; in Group 2, one patient (1%) died because of non-COVID-19-related causes. Median days from surgery to first symptoms, CT confirmation, clinical confirmation and PCR positivity was 48.1, 54.3, 55.1, and 55.2 respectively. At univariable analysis, DLCO/VA% (P = 0.008), duration of the surgery (P = 0.009), smoking history (pack/year) (P < 0.001), BMI (P< 0.001) and number of segments resected (P = 0.010) were associated with COVID-19 onset. Moreover, CCI (P < 0.001), DLCO/VA% (P = 0.002), cigarette pack/year (P < 0.001), BMI (P < 0.001) and COVID-19 (P < 0.001) were associated with death. Patients who undergo lung resection and then develop symptomatic COVID-19 infection are at higher risk of developing severe respiratory complications and postoperative death. Insidious symptoms' onset may lead to a delay in diagnosis. We suggest two mitigating strategies: (1) Improve symptoms surveillance and isolation during recovery period, (2) Be aware of a potential greater risk of developing symptomatic COVID-19 and death correlated with elevated CCI, BMI, smoking history, DLCO/VA%, number of resected segments and duration of surgery.Entities:
Keywords: COVID-19; Lung resection; Northern Italy; Thoracic surgery
Mesh:
Year: 2021 PMID: 33989754 PMCID: PMC8111882 DOI: 10.1053/j.semtcvs.2021.03.038
Source DB: PubMed Journal: Semin Thorac Cardiovasc Surg ISSN: 1043-0679
Mean demographics and preoperative characteristics for patients who developed COVID-19 (Group 1) and patients that were not infected (Group 2)
| Characteristics | COVID-19 positive (n = 12) | COVID-19 negative (n = 95) | HR | 95% CI | p-value |
|---|---|---|---|---|---|
| 65.92 | 66.54 | 0.99 | 0.94 - 1.04 | 0.639 | |
| 45.75 | 18.42 | 1.03 | 1.01 - 1.05 | <0.001 | |
| 34.73 | 26.00 | 1.09 | 1.05 - 1.14 | <0.001 | |
| 3.25 | 2.08 | 1.56 | 1.36 - 1.87 | 0.010 | |
| 16.09 | 11.43 | 1.08 | 1.01 - 1.15 | 0.033 | |
| 91.00 | 95.12 | 0.99 | 0.97 - 1.02 | 0.464 | |
| 77.00 | 90.88 | 0.95 | 0.92 - 0.99 | 0.008 | |
| 111.25 | 150.24 | 0.98 | 0.97 - 1.01 | 0.009 | |
| Female | 3 | 34 | |||
| Male | 9 | 61 | 1.85 | 0.51 - 2.85 | 0.356 |
Hazard ratios (HR) and 95% Confidence intervals (CI) are obtained from a univariable Cox regression model to assess the impact of patient's characteristics on the risk of being infected by COVID-19.
Significant p-value.
Mean demographics and preoperative characteristics for dead and alive patients
| Characteristics | Dead (n = 7) | Alive (n = 100) | HR | 95% CI | p-value |
|---|---|---|---|---|---|
| 70.43 | 66.19 | 1.04 | 0.95 - 1.14 | 0.394 | |
| 62.00 | 18.65 | 1.05 | 1.02 - 1.07 | <0.001 | |
| 41.13 | 25.99 | 1.15 | 1.08 - 1.23 | <0.001 | |
| 3.14 | 2.86 | 1.39 | 0.87 - 1.54 | 0.566 | |
| 24.13 | 11.10 | 1.21 | 1.11 - 1.33 | <0.001 | |
| 90.29 | 94.96 | 0.99 | 0.96 - 1.02 | 0.516 | |
| 71.29 | 90.57 | 0.93 | 0.88 - 0.97 | 0.002 | |
| 129.29 | 147.03 | 0.99 | 0.98 - 1.01 | 0.405 | |
| 6 | 6 | 4.49 | 2.71 - 5.82 | <0.001 |
Hazard ratios (HR) and 95% Confidence intervals (CI) are obtained from a univariable Cox regression model to assess the impact of patient's characteristics on the mortality rate.
Significant p-value.
Figure 1(graphical abstract): the paper entitled COVID-19 after lung resection in Northern Italy is a retrospective study from four Thoracic Surgery Departments in the Lombardia region. Univariable Cox regression models were estimated to investigated postoperative mortality among patients who contracted symptomatic COVID-19 and to evaluate potential prognostic factors for developing COVID-19.
Our data showed that symptomatic COVID-19 severely increases risk of death after surgery. So, we suggest to consider a patient tailored surgical programme based on after discharge surveillance or isolation and to be aware of a possible greater risk correlated with BMI, smoking history, DLCO/VA%, number of resected segments and duration of surgery.