We herein report the first case of lupus-related protein-losing enteropathy associated with pseudo-pseudo Meigs' syndrome. Lupus-related protein-losing enteropathy and pseudo-pseudo Meigs' syndrome are extremely rare complications in patients with systemic lupus erythematosus, Both have a similar clinical course characterized by producing marked ascites, and respond to steroids in typical cases. However, in our case, steroid monotherapy was inadequate and the addition of hydroxychloroquine was effective for their treatment. Furthermore, no reports have previously confirmed elevated CA 125 levels with lupus-related protein-losing enteropathy or increased 99mTc-HSA activity with pseudo-pseudo Meigs' syndrome. In addition, we are the first to report an evaluation of the histopathology of lupus-related protein-losing enteropathy. Previously reported cases have been described as being caused by either pseudo-Meigs's syndrome or lupus-related protein-losing enteropathy as the cause of the rare pathology that causes marked pleural effusion and ascites in patients with systemic lupus erythematosus, but it has not been evaluated whether the other is co-occurring. Our case highlights that there is a potential case of overlapping lupus-related protein-losing enteropathy and pseudo-Pseudo-Meigs's syndrome. Furthermore, it is possible that patients with marked ascites with elevated CA 125 levels were mistakenly diagnosed with Meigs's syndrome or pseudo-Meigs's syndrome associated with malignant or benign ovarian tumors and underwent surgery. Clinicians should not forget SLE with pseudo-Pseudo-Meigs's syndrome as one of the differential diagnoses for marked ascites with elevated CA 125 levels.
Background: Dense fine speckled (DFS) pattern is defined by very intense, heterogeneous speckled staining of nucleoplasms of interphase HEp-2 cells and chromosomal areas of metaphase cells. The association of Anti-DFS70 and rheumatologic signs, symptoms, and diagnosis were evaluated.Methods: One-hundred-eight anti-DFS70 positives who got consecutively admitted to the Rheumatology clinic between January and June 2020 were analyzed. The clinical and laboratory findings of positives for anti-DFS70 antibody were compared with those with DFS pattern ANA IFA staining rates. Also, anti-DFS70 positivity rates and their correlation with the DFS staining pattern were analyzed retrospectively in 1016 CTD patients.Results: The most common complaint was joint pain seen in 77 (71.3%) and the most common laboratory abnormality was RF-positivity observed in 10/108 (9.3%) who had anti-DFS70 positivity. The most common ANA staining pattern was DFS (72/108; 66.7%); one-third had other than DFS. No statistical significance was found for the association of any of the rheumatological complaints and laboratory findings with the DFS staining pattern. ANA analysis was performed in a total of 964/1016 (94.88%) CTD patients and 44 (4.56%) of these positive for anti-DFS70. The correlation coefficient showed good correlations between the DFS pattern staining and anti-DFS70 antibody positivity (r=+0.773, p<0.001).Conclusions: Anti-DFS70-positives have a low rate of CTD. A low anti-DFS70 positivity rate was observed in patients with CTD. As such, it can be considered that anti-DFS70 does not predict CTD or even excludes it.
Multiple myeloma is a neoplasm of plasma cells affecting mostly the elderly with incidence peaks between 60 and 70 years. This disease is exceedingly rare in younger people, especially in adults under 30-year-old. Non-secretory multiple myeloma accounts for 1-5% of all cases of multiple myeloma. It is also a rare condition in young adult patients, and only six cases have been reported [1]. We herein describe a rare case of non-secretory myeloma in a 22-year-old male, explaining from chest wall pain, without general manifestation. Plain radiography and CT scans revealed diffuse osteolytic lesion mimicking the Gorham disease. A bone marrow biopsy was conducted, revealing the diagnosis of myeloma.
Background and aims. Patients with COVID-19 frequently present abnormal elevated liver function tests of unknown clinical significance. We aimed to investigate the characteristics and factors influencing outcome in patients with confirmed SARS-CoV-2 infection and liver injury on admission.Methods. This is a retrospective observational study of patients hospitalized in two COVID units in Romania. Relevant data on clinical and laboratory parameters and medication administered during the admission were analyzed to identify predictors of a negative outcome. Patients with confirmed COVID-19 and liver function tests (LFTs) above the upper limit of normal were included in the analysis.Results. From 1,207 patients, we identified 134 patients (11%) with abnormal LFTs during hospitalization. The majority of patients had mildly elevated levels and a predominantly cholestatic pattern of liver injury. Patients who received lopinavir/ritonavir were more likely to have increased ALAT levels (p<0.0001). Sixteen patients had pre-existing chronic liver disease, and they were more likely to suffer from severe COVID-19 (p=0.009) and have a negative outcome (p<0.001), but on multivariate analysis, only the severity of COVID-19 was predictive of death (OR 69.9; 95% CI 6.4-761.4).Conclusions. Mild liver injury is relatively common in COVID-19 and possibly influenced by medication. Patients with chronic liver disease are at high risk for negative outcome, but the severity of the infection is the only predictor of death.
Background: Admission hyperglycemia has been associated with major adverse cardiovascular and cerebrovascular events (MACCEs) in patients with acute coronary syndrome.Methods: In this study we sought to determine the association between admission blood sugar (ABS) and the outcomes of non-diabetic patients with first-ever acute myocardial infarction (MI). Non-diabetic patients with MI were evaluated from March 2016 to March 2019. Baseline characteristics, laboratories, electrocardiogram, and baseline left ventricular ejection fraction (LVEF) were recorded. All patients were followed up and outcomes were obtained. Follow-up data comprised of repeating electrocardiogram and echocardiography at 1 year, and MACCE, including re-MI, stroke, and mortality.Results: A total of 312 patients with a mean age of 54.2 ± 11.9 years were evaluated. All patients were followed up for a median of 38 months. The frequencies of in-hospital mortality and MACCE at late follow-up were higher in third tertile of ABS compared with those in first and second tertiles (both p <0.05). Based on the Cox regression analysis, the independent predictors of MACCE included age (hazard ratio [HR] 1.068, 95% confidence interval [CI] 1.033 - 1.105, p <0.001), third tertile of ABS >172 mg/dL (HR 21.257, 95% CI 2.832 - 159.577, p=0.003), and baseline LVEF (HR 0.947, 95% CI 0.901 - 0.995, p=0.031).Conclusion: Admission stress hyperglycemia is associated with increased rates of in-hospital mortality and MACCE at late follow-up in non-diabetic patients with MI. Moreover, elevated ABS, older ages, and a decreased value of baseline LVEF predicted MACCE during follow-up.
Reliable biomarkers are necessary for the risk stratification of patients infected with SARS-CoV-2. This novel coronavirus is now established to affect several organs in addition to the lungs, most prominently the heart. This is achieved through direct damage to the myocardium and indirect immune-associated effects during the cytokine storm. We performed a literature review aiming to identify the prognostic value of alterations of cardiac biomarkers in SARS-CoV-2 infection. Cardiac biomarkers are significantly elevated in patients with severe COVID-19 and are independent predictors of mortality. High-sensitivity troponin I and T are correlated with multiple inflammatory indexes and poor outcomes. Although cut-off values have been established for most of cardiac biomarkers, lower limits for troponins may have better prognostic values and longitudinal monitoring of cardiac biomarkers can help the clinician assess the patient's course. Additional measurements of NT-proBNP, can detect the subgroup of patients with poor prognosis.