Combined Hypophysitis and Type 1 Diabetes Mellitus Related to Immune Checkpoint Inhibitors.

Context: The occurrence of multiple endocrinopathies due to immune checkpoint inhibitors (ICIs) is a relatively common adverse event. However, the occurrence of a combination of hypophysitis and type 1 diabetes mellitus (T1DM) is extremely rare, and its clinical features are unclear. Objective: We comparatively analyzed the clinical features of this combination and each individual ICI-induced endocrinopathy. Methods: We reported 3 cases that we encountered and reviewed previously reported cases of patients with combined hypophysitis and T1DM due to ICIs. Results: Anti-programmed cell death-1 (anti-PD-1) antibodies were prescribed to all 3 cases. The duration from ICI initiation to the onset of endocrine disease was 12 to 48 weeks. Several human leukocyte antigen (HLA) haplotypes that have disease susceptibility to hypophysitis were detected in all 3 patients. With the 17 previously reported cases, combined endocrinopathies were more common in men (85%). The onset age was in the 60s for both combined and single endocrinopathies. Anti-PD-1 antibodies were used in most of the cases (90%). The time from ICI initiation to the onset of endocrinopathies was 24 (8-76) weeks for hypophysitis and 32 (8-76) weeks for T1DM in patients with combined endocrinopathies, which was not significantly different from that for each single endocrinopathy. Conclusion: We presented 3 cases of patients with combined endocrinopathies of hypophysitis and T1DM that may have been caused by anti-PD-1 antibodies. There was no difference in the time from ICI initiation to the onset of endocrinopathies between combined and single endocrinopathies. Further case accumulation and pathogenic investigations are required.

Analysis of thyroid function in Japanese patients with coronavirus disease 2019.

Thyroid dysfunction that is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is becoming increasingly recognized. However, only a few reports in Japan have addressed this issue to date. In this study, we sought to clarify whether infection with SARS-CoV-2 affected thyroid hormone levels and whether these hormones could be better predictors of prognosis in patients with coronavirus disease 2019 (COVID-19). Accordingly, we retrospectively examined 147 cases wherein thyroid hormones were measured at the time of admission among 848 Japanese patients with COVID-19 admitted to the Hyogo Prefectural Kakogawa Medical Center. All patients underwent thyroid function testing upon hospital admission. More than half (59.1%) of the patients were euthyroid. Twenty-four percent of patients had serum thyroid-stimulating hormone (TSH) levels lower than the reference range with normal serum free thyroxine (fT4) levels, and 3.4% of the patients had low TSH with high fT4 levels. Over 70% of the patients with moderate and severe COVID-19 had low serum free triiodothyronine (fT3) levels. Serum TSH and fT3 levels were inversely correlated with disease severity. The mortality rate in patients with low serum fT3 levels was significantly higher than that in those with normal serum fT3 levels.

Delayed diagnosis of postcardiac injury syndrome.

Postcardiac injury syndrome (PCIS) is a rare condition that is considered to have a trauma-induced autoimmune mechanism triggered by damage to pericardial and/or pleural tissues. We report a case of PCIS accompanied by systemic oedema after thymectomy. A 73-year-old woman was referred to our hospital for dyspnoea and oedema, 9 months after thymectomy. Evaluation revealed the presence of pericardial effusion, pleural effusion and systemic oedema. Differential diagnosis included constrictive pericarditis (secondary to tuberculosis), serositis caused by collagen disease and malignancy. Detailed investigations led to the diagnosis of PCIS, which was successfully treated with prednisolone. This report focuses on the diagnostic approach to PCIS. Since it took time to make a final diagnosis in our patient, we analysed several past case reports and series to determine the cause of the delay in diagnosis.