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Background: Pneumonia in elderly patients who require nursing care is becoming more and more common among the aging populations of developed countries, and treatment is an important topic worldwide. A simpler prognostic indicator would be expected to improve the treatment of pneumonia. This single-center, prospective cohort study aimed to compare the usefulness of B-type natriuretic peptide (BNP), procalcitonin (PCT), and the A-DROP score, which have been reported to correlate with pneumonia prognoses, such as aspiration pneumonia (AP). Methods: We included patients who were admitted to the Kanazawa Medical University Himi Municipal Hospital with a diagnosis of either nursing- and healthcare-associated pneumonia (NHCAP) or AP between January 1, 2012 and July 31, 2019. We collected demographic, clinical, and laboratory characteristics and outcome data from electronic medical records, and calculated A-DROP scores. The primary outcome was 30-day mortality. We evaluated correlations with the primary outcome using the chi-square test, Fisher exact test, t-test, Cox-regression analysis, and receiver operating characteristic curve analysis. Results: Of the 1,215 patients with pneumonia, 297 were eligible for the study, of whom 37 (12%) died whin 30 days. After univariate analysis, we performed Cox proportional-hazards analysis for BNP, PCT, A-DROP score, albumin, C-reactive protein, and disseminated intravascular coagulation, which were significantly correlated with the primary outcome in univariate analysis. As a result, only BNP showed a significant correlation (P=0.008, 95% CI: 1.30-6.06). No significant correlation was obtained in PCT (P=0.529) and A-DROP score (P=0.107). Furthermore, we generated receiver operating characteristic curve to estimate the prognostic cut-off values of BNP for the primary outcome of NHCAP and AP. The optimal cut-off value of BNP for predicting death was 179.3 pg/mL (sensitivity 62.2%, specificity 76.2%, negative likelihood ratio 0.50%, positive likelihood ratio 2.61%). And, BNP yielded the highest area under the curve (0.72) in comparison with PCT (0.67) and A-DROP score (0.69). Conclusions: BNP may be a more clinically useful prognostic factor for NHCAP and AP than PCT or A-DROP score, and should be considered as a routine test at the beginning of these treatments.
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Introduction: Numerous clinical and laboratory scores that include C-reactive protein (CRP), D-dimer, ferritin, lactate dehydrogenase (LDH), interleukin 6 (IL-6), procalcitonin (PCT), blood urea nitrogen (BUN), creatinine levels and oxygenation (PaO2 and SaO2) have been used for the prognosis of COVID-19. In addition, composite scores have been developed for the assessment of general state and risk in community-acquired pneumonia (CAP) that may be applied for COVID-19 as well. In this study, we assessed severity and potential prognostic risk factors for unfavorable outcome among hospitalized COVID-19 patients. We also applied the A-DROP general scoring system used in CAP to COVID-19. Patients and methods: Altogether 233 patients admitted to our center with COVID-19 were included in the study. Clinical status, several laboratory biomarkers described above, indicators of oxygenation were determined at hospital admission. We also applied the A-DROP composite scoring system that includes Age (≥ 70 years in males and ≥ 75 years in females), Dehydration (BUN ≥ 7.5 mmol/l), Respiratory failure (SaO2 ≤ 90% or PaO2 ≤ 60 mmHg), Orientation disturbance (confusion) and low blood Pressure (systolic BP ≤ 90 mmHg) to COVID-19. Results: At the time of admission, most patients had elevated CRP, LDH, ferritin, D-dimer, and IL-6 levels indicating multisystemic inflammatory syndrome (MIS). Altogether 49 patients (21.2%) required admission to ICU, 46 (19.7%) needed ventilation and 40 patients (17.2%) died. In the binary analysis, admission to ICU, the need for ventilation and death were all significantly associated with the duration of hospitalization, history of hypertension or obesity, confusion/dizziness, as well as higher absolute leukocyte and neutrophil and lower lymphocyte counts, elevated CRP, PCT, LDH, ferritin, IL-6, BUN, and creatinine levels, low PaO2 and SaO2 and higher A-DROP score at the time of admission (p < 0.05). Conclusion: Numerous laboratory biomarkers in addition to obesity, dizziness at the time of admission and the history of hypertension may predict the need for ICU admission and ventilation, as well as mortality in COVID-19. Moreover, A-DROP may be a suitable scoring system for the assessment of general health and disease outcome in COVID-19.
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BACKGROUND: Presepsin, the soluble CD14 subtype, is known as a sepsis biomarker. However, its clinical significance in pneumonia is unclear. We investigated the effects of plasma presepsin level on clinical outcomes in patients with pneumonia. METHODS: Patients over 18 years old admitted to our hospital due to pneumonia from May 2016 through November 2017 were reviewed using electronic medical records. One hundred and seventy-two patients who underwent measurement of plasma presepsin levels on admission were enrolled. Median age of enrolled patients was 81 years [interquartile range (IQR), 68-86 years]. Pneumonia severity index (PSI) class and A-DROP score on admission were calculated. The receiver operating characteristic (ROC) curve analysis was performed to assess the prognostic value of 30-day mortality and to identify the optimal cut-off value of plasma presepsin level. Correlations between plasma presepsin level and other factors were assessed using the Spearman's test. The Kaplan-Meier survival analysis and the log-rank test were performed to assess the two curves differentiated with the optimal cut-off value of plasma presepsin level. RESULTS: Seventeen patients (9.9%) died within 30 days of admission. The deceased patients had higher value of plasma presepsin on admission (539 pg/mL; IQR, 414-832 pg/mL) compared with the survivors (334 pg/mL; IQR, 223-484 pg/mL) (P=0.001). The areas under ROC curve for predicting 30-day mortality were 0.742 for plasma presepsin, 0.755 for A-DROP score, and 0.774 for PSI class. Plasma presepsin level was not associated with etiology of pneumonia. However, it was moderately correlated with serum creatinine level (rs =0.524, P<0.001). The ROC curve analysis derived 470 pg/mL of plasma presepsin level as the optimal cut-off value for predicting 30-day mortality. The Kaplan-Meier survival analysis showed that patients with plasma presepsin level ≥470 pg/mL on admission had significantly higher 30-day mortality than those with plasma presepsin level <470 pg/mL (P<0.001). Among patients with A-DROP score ≥3, those with plasma presepsin level ≥470 mg on admission had significantly higher 30-day mortality (P=0.013). Similarly, among patients with PSI class ≥4, those with plasma presepsin level ≥470 mg on admission had significantly higher 30-day mortality (P=0.005). CONCLUSIONS: In hospitalized pneumonia patients, plasma presepsin level on admission could be a useful predictor of 30-day mortality and an additional prognostic biomarker on existing severity assessment scales.
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AIM: The Pneumonia Severity Index (PSI) is used to determine the prognosis of community-acquired pneumonia (CAP). The concept of nursing- and healthcare-associated pneumonia (NHCAP) has recently been established in Japan. The present study aims to examine whether the PSI can predict the prognosis of home care-based patients diagnosed with NHCAP. METHODS: We retrospectively sampled 97 home care-based patients diagnosed with pneumonia in 2011 at Aozora Clinic in Kamihongo. Each case was scored using the PSI, the A-DROP and the CURB-65, and the severity of each case was evaluated. We also modified the PSI to obtain the score on the site of the home visits by omitting the scores related to the radiographic and laboratory findings. We call this new score the modified PSI for home care-based patients (PSI-HC). We assessed how well each score predicted mortality. RESULTS: The correlation efficiency of the PSI and the PSI-HC before categorization was 0.89. All the four scores well predicted the mortality, with the area under the curve of the receiver operating characteristic curves of the PSI, the PSI-HC, the A-DROP and the CURB-65 being 0.859, 0.856, 0.778, and 0.806, respectively. These scores also predicted the hospitalization rate, but more than two-thirds of high-scoring patients received therapy at home contrary to the recommendations of guidelines. CONCLUSIONS: All four scores for CAP well predicted the prognosis of pneumonia of the home care-based patients, which was categorized in NHCAP. The decision of hospitalization was made not only by considering the severity of the pneumonia.