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The prone position is extensively used to improve oxygenation in patients with severe acute respiratory distress syndrome caused by SARS-CoV-2 pneumonia. Occasionally, these patients exhibit cardiac and respiratory functions so severely compromised they cannot tolerate lying in the supine position, not even for the time required to insert a central venous catheter. The authors describe three cases of successful ultrasound-guided internal jugular vein cannulation in prone position. The alternative approach here described enables greater safety and well-being for the patient, reduces the number of episodes of decompensation, and risk of tracheal extubation and loss of in-situ vascular lines.
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Stroke patients under the background of the new crown epidemic need to be home-based care. However, traditional nursing methods cannot take care of the patients' lives in all aspects. Based on this, based on machine learning algorithms, our work combines regression models and SVM to build a smart wearable device system and builds a system prediction module to predict patient care needs. The node is used to collect human body motion and physiological parameter information and transmit data wirelessly. The software is used to quickly process and analyze the various motion and physiological parameters of the patient and save the analysis and processing structure in the database. By comparing the results of nursing intervention experiments, we can see that the smart wearable device designed in this paper has a certain effect in stroke care.
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Aim: This study compared exhaled carbon monoxide (CO) levels in patients hospitalized for bacterial and COVID-19-related viral community-acquired pneumonia. Materials & methods: The study included a total of 150 patients: 50 patients hospitalized for COVID-19 between February 2021 and March 2022, 50 patients with bacterial community-acquired pneumonia and 50 healthy controls. Results: In comparisons of exhaled CO levels among the groups, there was no significant difference between patients with bacterial pneumonia and controls, whereas patients with COVID-19 pneumonia had significantly higher exhaled CO levels compared with both the bacterial pneumonia and control groups (p < 0.001). Conclusion: Viral agents can directly affect the heme oxygenase system of the lower respiratory tract, leading to greater increases in ferritin and exhaled CO levels compared with bacterial pneumonia.
Infections in the lung tissue cause stress in the body. Several mechanisms are activated in the body to balance this stress. The heme oxygenase system plays a role in suppressing inflammation, and its overactivation can cause an increase in the amount of carbon monoxide (CO) we exhale. This study examined exhaled CO levels in patients with bacterial lung infection and COVID-19 viral lung infection in comparison with the healthy population. We found that patients with COVID-19 lung infection had higher levels of CO in their breath than patients with bacterial lung infection and healthy control subjects. These findings suggest that measurements of exhaled CO levels in people with signs and symptoms of lung infection might be used to differentiate patients with viral and bacterial lung infections.
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BACKGROUND: Streptococcus pneumoniae (Spn), Haemophilus influenzae (Hflu), and Moraxella catarrhalis (Mcat) nasopharyngeal colonization precedes disease pathogenesis and varies among settings and countries. We sought to assess colonization prevalence, density, Spn serotypes, and antibiotic resistance in children in the first 6 months of life in pediatric primary care settings. METHODS: Prospective cohort study in Rochester, NY during 2018-2020. Nasopharyngeal swabs were collected from 101 children at age 1, 2, and 3 weeks, then 1, 2, 4, 6, 9, 12, 15, 18, and 24 months. Spn serotypes were determined by Quellung. Oxacillin resistance for Spn and ß-lactamase production by Hflu and Mcat was tested. All children received PCV13 vaccine according to U.S. recommended schedule. RESULTS: Spn, Hflu, and Mcat colonization was detected in only 5% of infants before age 2 months old. Cumulative prevalence was 34% for Spn, 10% for Hflu, and 53% for Mcat in children ≤6 months of age. Nasopharyngeal bacterial density of Spn, Hflu, and Mcat (x = 2.71 log) in children ≤6 months of age was lower than at 7-24 months of age (x = 3.15 log, p < 0.0001). Predominant serotypes detected ≤6 months of age were 23B (16.7%), 22F (12.9%), 15B/C (11%), and 16F (9.2%). In total, 14.8% of Spn isolates were oxacillin resistant and 66.7% of Hflu isolates were ß-lactamase producing. CONCLUSION: Spn, Hflu, and Mcat nasopharyngeal colonization was uncommon and of low density among children ≤6 months old, especially among children <2 months of age. Non-PCV13 serotypes predominated and a different serotype distribution was observed in ≤6-month olds compared to 7- to 24-month olds.
Subject(s)
Pneumococcal Infections , Streptococcus pneumoniae , Humans , Infant , Child , Child, Preschool , Cohort Studies , Pneumococcal Infections/epidemiology , Pneumococcal Infections/prevention & control , Pneumococcal Infections/microbiology , Moraxella catarrhalis , Prospective Studies , New York/epidemiology , Haemophilus influenzae , Drug Resistance, Microbial , beta-Lactamases , Oxacillin , Carrier StateABSTRACT
Purpose: We aimed to investigate the impact of enhanced in-hospital infection prevention during the coronavirus disease 2019 (COVID-19) pandemic on postoperative pneumonia in older surgical patients. Patients and Methods: We retrospectively reviewed the electronic medical records of consecutive patients ≥70 years who underwent elective surgery between 2017 and 2021 at our institution. All perioperative variables were retrieved from the electronic medical records. The primary outcome was new-onset postoperative pneumonia during the hospitalization period. Since February 2020, our institution implemented a series of policies to enhance infection prevention, hence patients were divided into groups according to whether they underwent surgery before or during the COVID-19 pandemic. An interrupted time series analysis was performed to evaluate the difference between pre- and post-intervention slopes of the primary outcome. Results: Among the 29,387 patients included in the study, 10,547 patients underwent surgery during the COVID-19 pandemic. Although there was a decreasing trend of the monthly incidence rate of postoperative pneumonia compared to before the COVID-19 pandemic, there was no statistical significance in the trend (slope before COVID-19 period: ß-coefficient, -0.007; 95% CI, -0.022 to 0.007). Conclusion: Our study revealed that enhanced in-hospital infection prevention implemented to manage the COVID-19 pandemic did not significantly affect the decreasing trend of postoperative pneumonia at our institution.
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The effectiveness of population-wide compliance to personal precautions (mask-wearing and hand hygiene) in preventing community-acquired pneumonia has been unknown. In Japan, different types of nonpharmaceutical interventions from personal precautions to containment and closure policies (CACPs, e.g. stay-at-home requests) were sequentially introduced from late January to April 2020, allowing for separate analysis of the effects of personal precautions from other more stringent interventions. We quantified the reduction in community-acquired pneumonia hospitalizations and deaths and assessed if it coincided with the timing of increased public awareness of personal precautions before CACPs were implemented. A quasi-experimental interrupted time-series design was applied to non-COVID-19 pneumonia hospitalization and 30-day death data from April 2015 to August 2020 across Japan to identify any trend changes between February and April 2020. We also performed a comparative analysis of pyelonephritis and biliary tract infections to account for possible changes in the baseline medical attendance. These trend changes were then compared with multiple indicators of public awareness and behaviors related to personal precautions, including keyword usage in mass media coverage and sales of masks and hand hygiene products. Hospitalizations and 30-day deaths from non-COVID-19 pneumonia dropped by 24.3% (95% CI 14.8-32.8) and 16.1% (5.5-25.5), respectively, in February 2020, before the implementation of CACPs, whereas pyelonephritis and biliary tract infections did not suggest a detectable change. These changes coincided with increases in indicators related to personal precautions rather than those related to contact behavior changes. Community-acquired pneumonia could be reduced by population-wide compliance to moderate precautionary measures.
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Low-dose radiation therapy (LDRT) can suppress intractable inflammation, such as that in rheumatoid arthritis, and is used for treating more than 10,000 rheumatoid arthritis patients annually in Europe. Several recent clinical trials have reported that LDRT can effectively reduce the severity of coronavirus disease (COVID-19) and other cases of viral pneumonia. However, the therapeutic mechanism of LDRT remains unelucidated. Therefore, in the current study, we aimed to investigate the molecular mechanism underlying immunological alterations in influenza pneumonia after LDRT. Mice were irradiated to the whole lung 1 day post-infection. The changes in levels of inflammatory mediators (cytokines and chemokines) and immune cell populations in the bronchoalveolar lavage (BALF), lungs, and serum were examined. LDRT-treated mice displayed markedly increased survival rates and reduced lung edema and airway and vascular inflammation in the lung; however, the viral titers in the lungs were unaffected. Levels of primary inflammatory cytokines were reduced after LDRT, and transforming growth factor-ß (TGF-ß) levels increased significantly on day 1 following LDRT. Levels of chemokines increased from day 3 following LDRT. Additionally, M2 macrophage polarization or recruitment was increased following LDRT. We found that LDRT-induced TGF-ß reduced the levels of cytokines and polarized M2 cells and blocked immune cell infiltration, including neutrophils, in BALF. LDRT-induced early TGF-ß production was shown to be a key regulator involved in broad-spectrum anti-inflammatory activity in virus-infected lungs. Therefore, LDRT or TGF-ß may be an alternative therapy for viral pneumonia.
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Arthritis, Rheumatoid , COVID-19 , Pneumonia, Viral , Animals , Mice , COVID-19/radiotherapy , Inflammation , Cytokines , Dimercaprol , Transforming Growth FactorsABSTRACT
This study aims to evaluate the impact of non-pharmaceutical interventions (NPIs) on the prevalence of respiratory pathogens among hospitalised children with acute respiratory infections (ARIs) in Suzhou. Children with ARIs admitted to the Children's Hospital of Soochow University between 1 September 2021 and 31 December 2022 and subjected to 13 respiratory pathogen multiplex PCR assays were included in the study. We retrospectively collected demographic details, results of respiratory pathogen panel tests, and discharge diagnostic information of the participants, and described the age and seasonal distribution of respiratory pathogens and risk factors for developing pneumonia. A total of 10,396 children <16 years of age, including 5,905 males and 4,491 females, were part of the study. The positive rates of the 11 respiratory pathogen assays were 23.3% (human rhinovirus (HRV)), 15.9% (human respiratory syncytial virus (HRSV)), 10.5% (human metapneumovirus (HMPV)), 10.3% (human parainfluenza virus (HPIV)), 8.6% (mycoplasma pneumoniae (MP)), 5.8% (Boca), 3.5% (influenza A (InfA)), 2.9% (influenza B (InfB)), 2.7% (human coronavirus (HCOV)), 2.0% (adenovirus (ADV)), and 0.5% (Ch), respectively. Bocavirus and HPIV detection peaked during the period from September to November (autumn), and MP and HMPV peaked in the months of November and December. The peak of InfA detection was found to be in summer (July and August), whereas the InfB peak was observed to be in winter (December, January, and February). HRSV and HRV predominated in the <3 years age group. HRV and HMPV were common in the 3-6 years group, whereas MP was predominant in the ≥6 years group. MP (odds ratio (OR): 70.068, 95%CI: 32.665-150.298, P < 0.01), HMPV (OR: 6.493, 95%CI: 4.802-8.780, P < 0.01), Boca (OR: 3.300, 95%CI: 2.186-4.980, P < 0.01), and HRSV (OR: 2.649, 95%CI: 2.089-3.358, P < 0.01) infections were more likely to develop into pneumonia than the other pathogens. With the use of NPIs, HRV was the most common pathogen in children with ARIs, and MP was more likely to progress to pneumonia than other pathogens.
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Influenza, Human , Metapneumovirus , Pneumonia , Respiratory Syncytial Virus, Human , Respiratory Tract Infections , Child , Male , Female , Humans , Influenza, Human/epidemiology , Prevalence , Retrospective Studies , Pneumonia/epidemiology , Respiratory Tract Infections/epidemiology , Respiratory Tract Infections/prevention & control , China/epidemiologyABSTRACT
Due to their often peripheral pleural-based location, pneumonias can be visualised by B-mode ultrasound. Therefore, sonography can be used as an alternative imaging modality to chest X-ray in suspected cases of pneumonia. Depending on the clinical background of the patient, and various underlying pathological mechanisms, a heterogeneous pattern of pneumonia is seen in both B-mode lung ultrasound and contrast-enhanced ultrasound. Here, we describe the spectrum of sonographic manifestations of pneumonic/inflammatory consolidation on B-mode lung ultrasound and contrast-enhanced ultrasound.
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Although immunodeficient patients are less prone to develop Coronavirus disease 2019 (COVID-19)-mediated cytokine storm, secondary infections can cause serious complications in this vulnerable population. They are more likely to develop opportunistic infections that can mimic the symptoms of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Herein, we presented a 27-year-old male patient of SARS-CoV-2 infection, who was complicated with Pneumocystis jirovecii pneumonia (PJP), following treatment with rituximab. First, he was hospitalized for 5 days with fever, cough, and dyspnea due to COVID-19 infection, and treated with remdesivir and glucocorticoid. Then, he has been referred to our center with cough, dyspnea, body pain, and fever. Due to persistent fever, the progression of pulmonary lesions, and reduced oxygen saturation, we began treatment with piperacillin + tazobactam, vancomycin, and levofloxacin. Nevertheless, the patient's fever did not stop after the aforementioned empiric treatment and his condition got worse and he was admitted to the intensive care unit. The result of BAL fluid, tested for P. jirovecii by RT-PCR, turned out to be positive. Therefore, we started trimethoprim-sulfamethoxazole and dexamethasone, which improved his condition. We hope this article helps clinicians consider causes other than COVID-19, especially opportunistic infections such as PJP, in patients with respiratory symptoms and fever.
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PURPOSE: We aimed to determine whether interferon gamma-1b prevents hospital-acquired pneumonia in mechanically ventilated patients. METHODS: In a multicenter, placebo-controlled, randomized trial conducted in 11 European hospitals, we randomly assigned critically ill adults, with one or more acute organ failures, under mechanical ventilation to receive interferon gamma-1b (100 µg every 48 h from day 1 to 9) or placebo (following the same regimen). The primary outcome was a composite of hospital-acquired pneumonia or all-cause mortality on day 28. The planned sample size was 200 with interim safety analyses after enrolling 50 and 100 patients. RESULTS: The study was discontinued after the second safety analysis for potential harm with interferon gamma-1b, and the follow-up was completed in June 2022. Among 109 randomized patients (median age, 57 (41-66) years; 37 (33.9%) women; all included in France), 108 (99%) completed the trial. Twenty-eight days after inclusion, 26 of 55 participants (47.3%) in the interferon-gamma group and 16 of 53 (30.2%) in the placebo group had hospital-acquired pneumonia or died (adjusted hazard ratio (HR) 1.76, 95% confidence interval (CI) 0.94-3.29; P = 0.08). Serious adverse events were reported in 24 of 55 participants (43.6%) in the interferon-gamma group and 17 of 54 (31.5%) in the placebo group (P = 0.19). In an exploratory analysis, we found that hospital-acquired pneumonia developed in a subgroup of patients with decreased CCL17 response to interferon-gamma treatment. CONCLUSIONS: Among mechanically ventilated patients with acute organ failure, treatment with interferon gamma-1b compared with placebo did not significantly reduce the incidence of hospital-acquired pneumonia or death on day 28. Furthermore, the trial was discontinued early due to safety concerns about interferon gamma-1b treatment.
Subject(s)
COVID-19 , Healthcare-Associated Pneumonia , Adult , Humans , Female , Middle Aged , Male , Interferon-gamma , SARS-CoV-2 , Critical Illness , Double-Blind MethodABSTRACT
OBJECTIVES: We analyzed the expression of inflammatory and antiviral genes in the nasopharynx of SARS-CoV-2 infected patients and their association with the severity of COVID-19 pneumonia. METHODS: We conducted a cross-sectional study on 223 SARS-CoV-2 infected patients. Clinical data were collected from medical records, and nasopharyngeal samples were collected in the first 24 hours after admission to the emergency room. The gene expression of eight proinflammatory/antiviral genes (plasminogen activator urokinase receptor [PLAUR], interleukin [IL]-6, IL-8, interferon [IFN]-ß, IFN-stimulated gene 15 [ISG15], retinoic acid-inducible gene I [RIG-I], C-C motif ligand 5 [CCL5], and chemokine C-X-C motif ligand 10 [CXCL10]) were quantified by real-time polymerase chain reaction. Outcome variables were: (i) pneumonia; (ii) severe pneumonia or acute respiratory distress syndrome. Statistical analysis was performed using multivariate logistic regression analyses. RESULTS: We enrolled 84 mild, 88 moderate, and 51 severe/critical cases. High expression of PLAUR (adjusted odds ratio [aOR] = 1.25; P = 0.032, risk factor) and low expression of CXCL10 (aOR = 0.89; P = 0.048, protective factor) were associated with pneumonia. Furthermore, lower values of ISG15 (aOR = 0.88, P = 0.021), RIG-I (aOR = 0.87, P = 0.034), CCL5 (aOR = 0.73, P <0.001), and CXCL10 (aOR = 0.84, P = 0.002) were risk factors for severe pneumonia/acute respiratory distress syndrome. CONCLUSION: An unbalanced early innate immune response to SARS-CoV-2 in the nasopharynx, characterized by high expression of PLAUR and low expression of antiviral genes (ISG15 and RIG-I), and chemokines (CCL5 and CXCL10), was associated with COVID-19 severity.
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OBJECTIVES: We investigated different computed tomography (CT) features between Omicron-variant and original-strain SARS-CoV2 pneumonia to facilitate the clinical management. MATERIALS AND METHODS: Medical records were retrospectively reviewed to select patients with original-strain SARS-CoV2 pneumonia from February 22 to April 22, 2020, or Omicron-variant SARS-CoV2 pneumonia from March 26 to May 31, 2022. Data on the demographics, comorbidities, symptoms, clinical types, and CT features were compared between the two groups. RESULTS: There were 62 and 78 patients with original-strain or Omicron-variant SARS-CoV2 pneumonia, respectively. There were no differences between the two groups in terms of age, sex, clinical types, symptoms, and comorbidities. The main CT features differed between the two groups (pâ¯= 0.003). There were 37 (59.7%) and 20 (25.6%) patients with ground-glass opacities (GGO) in the original-strain and Omicron-variant pneumonia, respectively. A consolidation pattern was more frequently observed in the Omicron-variant than original-strain pneumonia (62.8% vs. 24.2%). There was no difference in crazy-paving pattern between the original-strain and Omicron-variant pneumonia (16.1% vs. 11.6%). Pleural effusion was observed more often in Omicron-variant pneumonia, while subpleural lesions were more common in the original-strain pneumonia. The CT score in the Omicron-variant group was higher than that in the original-strain group for critical-type (17.00, 16.00-18.00 vs. 16.00, 14.00-17.00, pâ¯= 0.031) and for severe-type (13.00, 12.00-14.00 vs 12.00, 10.75-13.00, pâ¯= 0.027) pneumonia. CONCLUSION: The main CT finding of the Omicron-variant SARS-CoV2 pneumonia included consolidations and pleural effusion. By contrast, CT findings of original-strain SARS-CoV2 pneumonia showed frequent GGO and subpleural lesions, but without pleural effusion. The CT scores were also higher in the critical and severe types of Omicron-variant than original-strain pneumonia.
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BACKGROUND: Oxidative stress (OS) could cause various COVID-19 complications. Recently, we have developed the Pouvoir AntiOxydant Total (PAOT®) technology for reflecting the total antioxidant capacity (TAC) of biological samples. We aimed to investigate systemic oxidative stress status (OSS) and to evaluate the utility of PAOT® for assessing TAC during the recovery phase in critical COVID-19 patients in a rehabilitation facility. MATERIALS AND METHODS: In a total of 12 critical COVID-19 patients in rehabilitation, 19 plasma OSS biomarkers were measured: antioxidants, TAC, trace elements, oxidative damage to lipids, and inflammatory biomarkers. TAC level was measured in plasma, saliva, skin, and urine, using PAOT and expressed as PAOT-Plasma, -Saliva, -Skin, and -Urine scores, respectively. Plasma OSS biomarker levels were compared with levels from previous studies on hospitalized COVID-19 patients and with the reference population. Correlations between four PAOT scores and plasma OSS biomarker levels were analyzed. RESULTS: During the recovery phase, plasma levels in antioxidants (γ-tocopherol, ß-carotene, total glutathione, vitamin C and thiol proteins) were significantly lower than reference intervals, whereas total hydroperoxides and myeloperoxidase (a marker of inflammation) were significantly higher. Copper negatively correlated with total hydroperoxides (r = 0.95, p = 0.001). A similar, deeply modified OSS was already observed in COVID-19 patients hospitalized in an intensive care unit. TAC evaluated in saliva, urine, and skin correlated negatively with copper and with plasma total hydroperoxides. To conclude, the systemic OSS, determined using a large number of biomarkers, was always significantly increased in cured COVID-19 patients during their recovery phase. The less costly evaluation of TAC using an electrochemical method could potentially represent a good alternative to the individual analysis of biomarkers linked to pro-oxidants.
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The COVID-19 epidemic is being revealed from a new angle every month. In particular, with the appearance of the delta strain, mucormycosis began to manifest in some patients, which had previously been extremely rare. Mucormycosis is a rare, aggressive infection caused by filamentous fungi of the Mucorales family and associated with high morbidity and mortality rates. The main risk factors for the mucormycosis in patients with COVID-19 are diabetes mellitus and diabetic ketoacidosis, uncontrolled hyperglycemia and massive use of glucocorticoids, vascular damage, thrombosis, lymphopenia, which often occur against the background of COVID-19 and make a person vulnerable to secondary or opportunistic fungal infection. We present a clinical case of mucormycosis in a 21-year-old female patient with COVID-19-associated severe pneumonia and concomitant type I diabetes mellitus. The patient was hospitalized and received standard therapy during inpatient treatment, including glucocorticosteroids in accordance with the severity of the course of COVID-19. On the 12th day from the hospitalization, the patient's condition deteriorated significantly, and the visible changes in the skin and soft tissues of the face, characteristic of mucormycosis appeared. Despite the drug therapy correction, the patient died because of the acute respiratory failure in combination with septic fungal damage of the brain stem.
Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Mucormycosis , Female , Humans , Young Adult , Adult , Mucormycosis/diagnosis , Mucormycosis/drug therapy , COVID-19/complications , COVID-19/therapy , Diabetes Mellitus, Type 1/complications , Risk FactorsABSTRACT
OBJECTIVE: To meta-analyze diagnostic performance measures of standardized typical CT findings for COVID-19 and examine these measures by region and national income. METHODS: MEDLINE and Embase were searched from January 2020 to April 2022 for diagnostic studies using the Radiological Society of North America (RSNA) classification or the COVID-19 Reporting and Data System (CO-RADS) for COVID-19. Patient and study characteristics were extracted. We pooled the diagnostic performance of typical CT findings in the RSNA and CO-RADS systems and interobserver agreement. Meta-regression was performed to examine the effect of potential explanatory factors on the diagnostic performance of the typical CT findings. RESULTS: We included 42 diagnostic performance studies with 6777 PCR-positive and 9955 PCR-negative patients from 18 developing and 24 developed countries covering the Americas, Europe, Asia, and Africa. The pooled sensitivity was 70% (95% confidence interval [CI]: 65%, 74%; I2 = 92%), and the pooled specificity was 90% (95% CI 86%, 93%; I2 = 94%) for the typical CT findings of COVID-19. The sensitivity and specificity of the typical CT findings did not differ significantly by national income and the region of the study (p > 0.1, respectively). The pooled interobserver agreement from 19 studies was 0.72 (95% CI 0.63, 0.81; I2 = 99%) for the typical CT findings and 0.67 (95% CI 0.61, 0.74; I2 = 99%) for the overall CT classifications. CONCLUSION: The standardized typical CT findings for COVID-19 provided moderate sensitivity and high specificity globally, regardless of region and national income, and were highly reproducible between radiologists. CRITICAL RELEVANCE STATEMENT: Standardized typical CT findings for COVID-19 provided a reproducible high diagnostic accuracy globally. KEY POINTS: Standardized typical CT findings for COVID-19 provide high sensitivity and specificity. Typical CT findings show high diagnosability regardless of region or income. The interobserver agreement for typical findings of COVID-19 is substantial.
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Rheumatic fever (RF) is a significant public health problem in underdeveloped countries, and its diagnosis is based on modified Jones criteria. However, there are rare manifestations not included in these criteria that can complicate this condition. We present a case report of a 21-year-old Moroccan female with RF revealed by pulmonary involvement. The patient had no known rheumatic fever. She presented with a two-week history of joint pain, severe chest pain, and shortness of breath. On clinical examination, she was febrile with a palpable left knee joint effusion. Laboratory tests indicated elevated levels of inflammation markers and moderate hepatic cytolysis. The thoracic CT scan revealed extensive bilateral alveolar-interstitial parenchymal involvement. The left knee joint puncture showed an inflammatory fluid without germs or microcrystals. Antibiotic therapy with ceftriaxone and gentamycin was ineffective. Echocardiography revealed rheumatic poly valvulopathy with mitral valve narrowing and moderate to severe mitral insufficiency. Streptolysin O antibody levels were high. The diagnosis of RF complicated by rheumatic pneumonia was made. Treatment with amoxicillin and prednisone led to favorable outcomes.
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Bronchial carcinoid tumours are rare, slow-growing, malignant, Low-grade neuroendocrine tumours that arise from Enterochromaffin (Kulchitsky) cells and are usually detected typically as indolent and solitary tumours. Approximately 2% of all lung tumours are bronchial carcinoid tumours. Case presentation: The authors report a case of 55-years-old man who presented with a history of cough for 1 month and was initially diagnosed with a case of COVID-19. Then he was treated as a case of pneumonia as seen on high-resolution computed tomography. Later, contrast-enhanced computed tomography and bronchoscopy-guided biopsy were done which revealed a right lower lobe neuroendocrine tumour (carcinoid), which was successfully resected. Clinical discussion: The majority of typical carcinoids are located in the central airways leading to bronchial obstruction with recurrent pneumonia, chest pain, and wheezing. During the COVID-19 pandemic, lung cancer patients were at higher risk of being affected by COVID-19. This study emphasizes that early identification and differential diagnosis are extremely difficult in the absence of comprehensive study and workup as the clinical and imaging findings of COVID-19 may resemble lung cancer. Although hilar and mediastinal lymph nodes are the most common metastatic sites for typical carcinoids, most lymphadenopathies are caused by a reactive inflammatory reaction. Conclusion: Bronchial carcinoids are uncommon, malignant neuroendocrine tumours for which the only curative management is complete surgical resection. With full resection, the result of typical carcinoids with lymph node metastases is favourable.
Subject(s)
Community-Acquired Infections , Pneumonia , Humans , Ceftriaxone/therapeutic use , Doxycycline/therapeutic use , Anti-Bacterial Agents/therapeutic use , Pneumonia/drug therapy , Community-Acquired Infections/drug therapy , Community-Acquired Infections/microbiology , Drug Therapy, CombinationABSTRACT
Pneumonia has been directly responsible for a huge number of deaths all across the globe. Pneumonia shares visual features with other respiratory diseases, such as tuberculosis, which can make it difficult to distinguish between them. Moreover, there is significant variability in the way chest X-ray images are acquired and processed, which can impact the quality and consistency of the images. This can make it challenging to develop robust algorithms that can accurately identify pneumonia in all types of images. Hence, there is a need to develop robust, data-driven algorithms that are trained on large, high-quality datasets and validated using a range of imaging techniques and expert radiological analysis. In this research, a deep-learning-based model is demonstrated for differentiating between normal and severe cases of pneumonia. This complete proposed system has a total of eight pre-trained models, namely, ResNet50, ResNet152V2, DenseNet121, DenseNet201, Xception, VGG16, EfficientNet, and MobileNet. These eight pre-trained models were simulated on two datasets having 5856 images and 112,120 images of chest X-rays. The best accuracy is obtained on the MobileNet model with values of 94.23% and 93.75% on two different datasets. Key hyperparameters including batch sizes, number of epochs, and different optimizers have all been considered during comparative interpretation of these models to determine the most appropriate model.