Abstract
SummaryBackground Dysnatremia is a frequent finding in patients with community acquired pneumonia (CAP) and a predictor of mortality. We studied the relation between dysnatremia, comorbidities and CT-pro-AVP and MR-proANP. Methods We enrolled 2138 patients (60 ± 18 years, 55% male) with CAP from the CAPNETZ database. Pro-atrial natriuretic peptide (proANP), pro-vasopressin (proAVP), serum sodium and CRB-65 score were determined on admission. Patients were followed up for 28 days. Sodium concentration on admission was examined as a function of mortality at 28 days. Hyponatremia (HypoN) was defined as admission serum sodium <136 mmol/L, hypernatremia (HyperN) as admission serum sodium >145 mmol/L. Results HypoN was diagnosed in 680 (31.8%) patients, HyperN in 29 (1.4%) patients. Comorbidities were associated with sodium levels, and CT-pro-AVP and MR-proANP were inversely related to sodium levels. Patients with HypoN were older, had a higher CRB-65 score and higher values of CT-proAVP and MR-proANP (all p < 0.05). When examined as a function of sodium values, a U-shaped association was found between sodium levels and 28 day mortality. In multivariate Cox proportional hazards analysis, HypoN and HyperN were independent predictors of 28 day mortality. Sodium levels added to the predictive potential of proAVP and proANP. Conclusion HypoN is common at admission among CAP patients and is independently associated with mortality. HyperN is rare at admission among CAP patients but is also independently associated with mortality. The combination of sodium and CT-pro-AVP and MR-proANP levels achieved the highest prediction of mortality.
| Original language | English |
|---|---|
| Journal | Respiratory Medicine |
| Volume | 108 |
| Issue number | 11 |
| Pages (from-to) | 1696-1705 |
| Number of pages | 10 |
| ISSN | 0954-6111 |
| DOIs | |
| Publication status | Published - 01.01.2014 |
Funding
This study was supported by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung = BMBF), Grants 01KI0103-105 , Competence Network CAPNETZ . The authors are grateful to the CAPNETZ study group 1 1 S. Krüger, D. Frechen (Aachen); W. Knüppel, I. Armari (Bad Arolsen); D. Stolz (Basel); N. Suttorp, H. Schütte, A. Tessmer, P. Martus (Berlin, Charité); T. Bauer, J. Hecht (Berlin); W. Pankow, A. Lies, D. Thiemig (Berlin-Neukölln); B. Hauptmeier, S. Ewig, D. Wehde, M. Suermann (Bochum); M. Prediger, G. Zernia (Cottbus); T. Welte, J. Rademacher, G. Barten, L. Gosman, W. Kröner (Hannover); R. Bals (Homburg/Saar); C. Kroegel, M. Pletz (Jena); K. Dalhoff, S. Schütz, R. Hörster, (Lübeck); G. Rohde (Maastricht); W. Petermann, H. Buschmann, R. Kröning, Y. Aydin (Paderborn); T. Schaberg, I. Hering (Rotenburg/Wümme); R. Marre, C. Schumann (Ulm); H. von Baum (Ulm, Med. Microbiology); T. Illmann, M. Wallner (Ulm); O. Burghuber, G. Rainer (Wien) and all study nurses.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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