Pneumocystis jiroveci pneumonia (PJP) in non-HIV immunocompromised individuals.

OBJECTIVES: PJP is a major cause of morbidity and mortality in immunocompromised individuals. Diagnosing PJP is often difficult because respiratory signs might be minimal or absent and the sensitivity of a chest X-ray (CXR) is low. We studied the clinical risk factors in order to increase awareness and facilitate the diagnosis. METHODS: We studied a prospective case series over a one year period (from 1 January 2015 to 1 January 2016) and did a retrospective analysis (from 2013 to 2016) of all PJP positive bronchoalveolar lavage (BAL) analysis. RESULTS: Seven patients with metastatic solid tumors were diagnosed with symptomatic PJP (based on positive polymerase chain reaction) over a one year period. The median age was 61 years. Three patients had brain metastasis. Four of them were on steroids, the median dose was 16 mg methylprednisolone with three of them at a tapered dose. Respiratory failure developed in four cases and prompted intensive care monitoring. Two patients needed non-invasive ventilation and the third patient was intubated and mechanically ventilated. No patient died of PJP. A retrospective analysis on microbiological results obtained from BAL in our hospital from 2013 to 2016 shows a striking high percentage PJP positivity in cancer patients (including hematologic cancers) of nearly 22% (15/69) as opposed to the overall number of PJP-positives 7.3% (59/803). DISCUSSION: The incidence of clinical PJP in patients treated for metastatic cancer is substantial. A high index of suspicion, especially in cases with unexplained respiratory symptoms, concurrent or recent use of steroids, a normal CXR and otherwise unexplained increased lactate dehydrogenase levels, is critical. The threshold for performing a CT-scan must be low and the diagnosis needs to be confirmed microbiologically.

A Multidisciplinary Infection Control Bundle to Reduce the Number of Spinal Cord Stimulator Infections.

OBJECTIVE: To investigate the effect of a quality improvement project that resulted in an infection control bundle to reduce the number of spinal cord stimulator (SCS) infections. MATERIALS AND METHODS: The study was performed in a single center for neuromodulation from January 1, 2014, through May 31, 2016. In response to a high number of surgical site infections (SSIs) after SCS surgery, a multidisciplinary team analyzed the surgical process and developed an infection prevention bundle consisting of five items: 1) showering and decolonization for five days prior to surgery and showering in the hospital on the morning of surgery; 2) performing the SCS implantation as the first in the daily operating room (OR) program; 3) maintaining a minimal number of people in the OR; 4) providing home care nurses with a folder with SCS wound care instructions including pictures; 5) giving oral specific wound care instructions to patients. The number of infections was calculated for the baseline, implementation, and sustainability phases. RESULTS: A total of 410 SCS surgeries were performed during the study period. In the preintervention phase, 26/249 (10.4%) SCS surgeries were infected. During the implementation and sustainability phase, 2/59 (3.4%) and 1/102 (1.0%) SCS surgeries were infected, respectively. The reduction in the number of infections in pre and postintervention phase was statistically significant (p = 0.003). CONCLUSION: Multidisciplinary measures to reduce SSIs reduced the number of SCS associated infections in our study setting.

Performance of urinalysis tests and their ability in predicting results of urine cultures: a comparison between automated test strip analyser and flow cytometry in various subpopulations and types of samples.

AIMS: Results of urinalysis are available earlier than urine culture results. If urinalysis can predict results of culture, early decision can be made on treatment and whether urine samples should be cultured. This study sought to compare the performance of urinalysis tests by automated test strip analyser (nitrite and leucocyte esterase) with flow cytometry (bacteria and white cell count) in different subpopulations and types of samples. METHODS: Consecutive urine samples (n=2351) from a population with a median age of 45 years, 37.2% men, were tested. Sensitivity, specificity, positive predictive value and negative predictive value (NPV) of the tests were calculated using contingency tables. The gold standard was positive urine culture with cut-off >105 CFU/mL. RESULTS: 14% of the cultures were positive (95.6% monomicrobial, 74.7% Enterobacteriaceae). Overall, nitrite test was the most specific (98.7%) but the least sensitive (43.2%). Bacteria count was the most sensitive (91.7%) and highly specific (87.5%). In infants <24 months, the sensitivity of bacteria count was reduced (86.1%), but specificity was high (95.9%). The specificity of nitrite was reduced in urine from the in-and-out procedure (81.9%). The sensitivity of bacteria count was reduced in bag specimens urine (83.3%) and in urine from indwelling catheter (84.7%). All tests showed a high NPV. The NPV of the combined flow cytometry tests was higher than those of automated test strip analyser (99.1% vs 97.4%). CONCLUSIONS: Overall, the performance of urinalysis is excellent. Flow cytometry tests performed better than automated test strip analyser in ruling out urine to be cultured.