A Pictorial Essay Describing the CT Imaging Features of COVID-19 Cases throughout the Pandemic with a Special Focus on Lung Manifestations and Extrapulmonary Vascular Abdominal Complications

CT Differentiation and Prognostic Modeling in COVID-19 and Influenza A Pneumonia

RATIONALE AND OBJECTIVES

This study aimed to compare CT features of COVID-19 and Influenza A pneumonia, develop a diagnostic differential model, and explore a prognostic model for lesion resolution.

MATERIALS AND METHODS

A total of 446 patients diagnosed with COVID-19 and 80 with Influenza A pneumonitis underwent baseline chest CT evaluation. Logistic regression analysis was conducted after multivariate analysis and the results were presented as nomograms. Machine learning models were also evaluated for their diagnostic performance. Prognostic factors for lesion resolution were analyzed using Cox regression after excluding patients who were lost to follow-up, with a nomogram being created.

RESULTS

COVID-19 patients showed more features such as thickening of bronchovascular bundles, crazy paving sign and traction bronchiectasis. Influenza A patients exhibited more features such as consolidation, coarse banding and pleural effusion (P < 0.05). The logistic regression model achieved AUC values of 0.937 (training) and 0.931 (validation). Machine learning models exhibited area under the curve values ranging from 0.8486 to 0.9017. COVID-19 patients showed better lesion resolution. Independent prognostic factors for resolution at baseline included age, sex, lesion distribution, morphology, coarse banding, and widening of the main pulmonary artery.

CONCLUSION

Distinct imaging features can differentiate COVID-19 from Influenza A pneumonia. The logistic discriminative model and each machine - learning network model constructed in this study demonstrated efficacy. The nomogram for the logistic discriminative model exhibited high utility. Patients with COVID-19 may exhibit a better resolution of lesions. Certain baseline characteristics may act as independent prognostic factors for complete resolution of lesions.

Clinical features and outcomes in kidney transplant recipients with COVID-19 pneumonia: a single center retrospective cohort study

Objective

This retrospective cohort study aimed to assess the clinical features, treatment outcomes, and short-term prognosis in kidney transplant recipients (KTRs) with concurrent coronavirus disease 2019 (COVID-19) pneumonia.

Methods

KTRs with COVID-19 pneumonia who were admitted to our hospital from December 28, 2022, to March 28, 2023 were included in the study. Their clinical symptoms, responses to antiviral medications, and short-term prognosis were analyzed.

Results

A total of 64 KTRs with initial diagnosis of COVID-19 pneumonia were included in this study. The primary symptoms were fever, cough, and myalgia, with an incidence of 79.7%, 89.1%, and 46.9%, respectively. The administration of antiviral drugs (paxlovid or molnupiravir) within 1-5 days and for over 5 days demonstrated a statistically significant reduction in viral shedding time compared to the group without antiviral medication (P=0.002). Both the paxlovid and molnupiravir treatment groups exhibited a significantly shorter duration of viral shedding time in comparison to the group without antiviral drugs (P=0.002). After 6 months of recovery, there was no significantly negative impact on transplant kidney function (P=0.294).

Conclusion

Fever, cough, and myalgia remain common initial symptoms of concurrent COVID-19 pneumonia in KTRs. Early use of antiviral drugs (paxlovid or molnupiravir) is associated with better therapeutic outcomes. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) had a limited impact on the short-term renal function of the KTRs with concurrent moderate or severe COVID-19 pneumonia.

A late presentation of a left paraduodenal hernia in an elderly patient admitted in emergency: A case report

Small bowel internal hernias (IHs), a rare cause of small bowel occlusion (SBO) and small bowel strangulation, while more commonly seen in young adults, can also affect elderly patients and pose a significant diagnostic challenge due to their nonspecific symptoms. In most cases, laparotomy was used to diagnose IHs. However, multidetector computed tomography (MDCT) is usually the best imaging tool to use in the emergency setting for the diagnosis of IHs. An 83-year-old man was admitted to emergency with acute abdominal pain and a coffee-ground vomitus. The abdominal MDCT showed a clustered-like appearance of proximal jejunal loops at the level of the Treitz ligament with the absence of transit of the medium water-soluble iodine oral contrast agent (Gastrografin). Mesenteric edema was also present with initial suffering of the intestinal wall. A left paraduodenal hernia (LPDH) with strangulation was suspected following the radiological report. The emergency laparotomy revealed about 20 cm of proximal jejunal loops herniated through a 3 cm wide hernia orifice (HO) along the Treitz ligament, at the level of Landzert fossa, located in the confluence of the descending mesocolon, posterior to the inferior mesenteric vein (IMV) and confirming the LPDH. The patient was discharged in good condition some days later. IHs do not have sufficient coverage in literature, especially in cases regarding elderly patients, however, they can be a cause of SBO in people older than 80 years of age. Radiologists and surgeons should be aware of the anatomical aspects of the IHs.