Prognostic value of the plasma cell synthesis score in multiple myeloma

High rate of percutaneous endoscopic gastrostomy site infections due to oropharyngeal colonization

We prospectively analyzed peristomal infection agents during the first week following percutaneous endoscopic gastrostomy (PEG) placement by the pull technique in patients with head and neck cancer. Nasal and pharyngeal swabs were obtained from a consecutive series of cancer patients prior to PEG placement. All patients underwent antibiotic prophylaxis with cefotaxime and oral disinfection. PEG site infection was prospectively evaluated at days 2, 3, and 7 after insertion. Twenty-eight patients (25 males; mean age, 58 years) were included. Oropharyngeal or nasal colonization were observed in 68% (19/28) and 19% (5/28) of patients, respectively. Early infections occurred in 36% (10/28) of the patients, all with oropharyngeal colonization and concordance between agents (P=0.01). Three patients required hospital admission and 1 required surgery. Head and neck cancer patients with oropharyngeal colonization have a high risk of early PEG site infection with substantial morbidity owing to oral-stomal spread.

Determination of plasma cell secreting potential as an index of maturity of myelomatous cells and a strong prognostic factor

According to the widely accepted myeloma staging system, the bulk of paraprotein is the main determinant of disease stage. However, myelomatous plasma cells differ considerably in their ability to synthesize and secrete monoclonal paraprotein. We determined plasma cell secreting potential (PCSP) as the amount of M-component, divided by the percentage of marrow plasmacytic infiltration, in 240 patients with myeloma, and correlated our results with chain isotype, plasma cell morphology, severity of bone disease, well-recognized prognostic factors, such as serum LDH, CRP, albumin and beta2-microglobulin, treatment response and overall survival. PCSP was higher in IgG than in other myeloma types, and was an almost constant parameter for each individual patient, in 134/166 cases. A > 10% decrease of PCSP in 26 patients was associated with disease aggressiveness and treatment failure. Patients with MGUS had significantly higher PCSP than those with myeloma of the same chain type. Higher PCSP was associated with stage I, absence of Bence-Jones proteinuria and indolent forms of disease with lower proliferating cell nuclear antigen (PCNA) positivity, serum LDH, alpha2-globulins, CRP and beta2-microglobulin and higher albumin levels. Conversely, patients with immature/plasmablastic morphology and those with severe bone disease had lower PCSP. Good responders to treatment had significantly higher PCSP than moderate and poor responders and PCSP was strongly correlated with overall survival in IgG and IgA myeloma. In conclusion, PCSP reflects the maturation status of myelomatous cells and therefore can be used as a prognostic factor, since patients with high secreting potential represent a lower malignancy group, in comparison to those with a low secreting potential.

Prognostic factors in multiple myeloma: selection using Cox's proportional hazard model

The pretreatment characteristics of 210 patients with multiple myeloma, observed between 1980 and 1994, were evaluated as potential prognostic factors for survival. Multivariate analysis according to Cox's proportional hazard model identified in the 160 dead patients with myeloma, among 26 different single prognostic variables, the following factors in order of importance: beta 2-microglobulin; bone marrow plasma cell percentage, hemoglobinemia, degree of lytic bone lesions, serum creatinine, and serum albumin. By analysis of these variables a prognostic index (PI), that considers the regression coefficients derived by Cox's model of all significant factors, was obtained. Using this it was possible to separate the whole patient group into three stages: stage I (PI < 1.485, 67 patients), stage II (PI: 1.485-2.090, 76 patients), and stage III (PI > 2.090, 67 patients), with a median survivals of 68, 36 and 13 months (P < 0.0001), respectively. Also the responses to therapy (P < 0.0001) and the survival curves (P < 0.00001) presented significant differences among the three subgroups. Knowledge of these factors could be of value in predicting prognosis and in planning therapy in patients with multiple myeloma.