Characteristics of inpatients with newly diagnosed multiple myeloma in hematology, nephrology, and orthopedic departments.
Yanjie ZhangJuan PanHaixin KangShuotao PengTao-Hsin TungShen BoPublished in: Annals of hematology (2023)
To describe the characteristics of multiple myeloma (MM) by retrospectively analyzing data from patients with MM in hematology, nephrology, and orthopedic departments, we selected inpatients diagnosed with MM for the first time who were admitted to the hematology department of Taizhou Hospital of Zhejiang Province between January 1, 2017, and June 30, 2021 ([Formula: see text]) and those admitted to the nephrology ([Formula: see text]) and orthopedic ([Formula: see text]) departments of Taizhou Hospital of Zhejiang Province between January 1, 2010, and June 30, 2021. For patients with MM initially diagnosed in the nephrology or orthopedic departments, age- and sex-matched patients without MM were randomly selected in a 1:1 ratio. Conditional logistic regression models were used to assess the risk of MM in hospitalized patients in the nephrology and orthopedic departments. This study included 200 patients, with a median age of 65 years. There were differences among patients in the three departments with respect to fracture, degree of anemia, proteinuria levels, red blood cell (RBC) count, hemoglobin levels, total protein (TP) levels, albumin levels, and laboratory indicators of renal function. TP levels > 68.45 g/L were independent risk factors for patients in the nephrology department (odds ratio (OR) = 1.01, 95% confidence interval (CI) = 1.001-1.024, P = 0.04), and RBC count < 3.79 × 10 12 /L was an independent risk factor for orthopedic inpatients (OR = 0.49, 95% CI 0.268-0.913, P = 0.02). Therefore, nephrologists should pay attention to the TP level of hospitalized patients to facilitate the early identification of MM in patients with chronic kidney disease. Orthopedic surgeons should pay attention to RBC counts in patients with fractures, and patients with low RBC counts should avoid unnecessary surgery and move to specialist care as early as possible.
Keyphrases
- red blood cell
- newly diagnosed
- end stage renal disease
- chronic kidney disease
- multiple myeloma
- healthcare
- ejection fraction
- peritoneal dialysis
- peripheral blood
- south africa
- emergency department
- quality improvement
- pain management
- patient reported outcomes
- human milk
- coronary artery disease
- artificial intelligence
- tertiary care
- acute care
- big data
- amino acid
- chronic pain
- surgical site infection