The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Low caloric intake is associated with nosocomial bloodstream infections in patients in the medical intensive care unit*
Abstract
OBJECTIVE: To determine whether caloric intake is associated with risk of nosocomial bloodstream infection in critically ill medical patients. DESIGN: Prospective cohort study. SETTING: Urban, academic medical intensive care unit. PATIENTS: Patients were 138 adult patients who did not take food by mouth for > or =96 hrs after medical intensive care unit admission. MEASUREMENTS: Daily caloric intake was recorded for each patient. Participants subsequently were grouped into one of four categories of caloric intake: <25%, 25-49%, 50-74%, and > or =75% of average daily recommended calories based on the American College of Chest Physicians guidelines. Simplified Acute Physiology Score II and serum albumin were measured on medical intensive care unit admission. Serum glucose (average value and maximum value each day) and route of feeding (enteral, parenteral, or both) were collected daily. Nosocomial bloodstream infections were identified by infection control surveillance methods. MAIN RESULTS: The overall mean (+/-sd) daily caloric intake for all study participants was 49.4 +/- 29.3% of American College of Chest Physicians guidelines. Nosocomial bloodstream infection occurred in 31 (22.4%) participants. Bivariate Cox analysis revealed that receiving > or =25% of recommended calories compared with <25% was associated with significantly lower risk of bloodstream infection (relative hazard, 0.24; 95% confidence interval, 0.10-0.60). Simplified Acute Physiology Score II also was associated with risk of nosocomial bloodstream infection (relative hazard, 1.27; 95% confidence interval, 1.01-1.60). Average daily serum glucose, admission serum albumin, time to initiating nutritional support, and route of nutrition did not affect risk of bloodstream infection. After adjustment for Simplified Acute Physiology Score II in a multivariable analysis, receiving > or =25% of recommended calories was associated with a significantly lower risk of bloodstream infection (relative hazard, 0.27; 95% confidence interval, 0.11-0.68). CONCLUSIONS: In the context of reducing risk of nosocomial bloodstream infections, failing to provide > or =25% of the recommended calories may be harmful. Higher caloric goals may be necessary to achieve other clinically important outcomes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Early versus late enteral feeding of mechanically ventilated patients: Results of a clinical trial.
Ibrahim, E., Mehringer, L., Prentice, D., Sherman, G., Schaiff, R., Fraser, V, & Kollef, M. (2002) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607102026003174 · Cited by 341
Cited by
ESPEN guidelines on parenteral nutrition: intensive care
Singer, P., Berger, M. M., Van den Berghe, G., Biolo, G., Calder, P., Forbes, A., Griffiths, R., Kreyman, G., Leverve, X., & Pichard, C. (2009) · Clinical Nutrition · doi:10.1016/j.clnu.2009.04.024 · Cited by 1,907
Early versus late parenteral nutrition in critically ill adults
Casaer, M. P., Mesotten, D., Hermans, G., Wouters, P. J., Schetz, M., Meyfroidt, G., Van Cromphaut, S., Ingels, C., Meersseman, P., Muller, J., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1102662 · Cited by 1,696
Negative impact of hypocaloric feeding and energy balance on clinical outcome in ICU patients
Villet, S., Chiolero, R. L., Bollmann, M. D., Revelly, J.-P., Cayeux RN, M.-C., Delarue, J., & Berger, M. M. (2005) · Clinical Nutrition · doi:10.1016/j.clnu.2005.03.006 · Cited by 995
Alberda, C., Gramlich, L., Jones, N., Jeejeebhoy, K., Day, A. G., Dhaliwal, R., & Heyland, D. K. (2009) · Intensive Care Medicine · doi:10.1007/s00134-009-1567-4 · Cited by 975
The National Heart, L., Rice, T. W., Wheeler, A. P., Thompson, B. T., Steingrub, J., Hite, R. D., Moss, M., Morris, A., Dong, N., & Rock, P. (2012) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.2012.137 · Cited by 935
Heidegger, C. P., Berger, M. M., Graf, S., Zingg, W., Darmon, P., Costanza, M. C., Thibault, R., & Pichard, C. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61351-8 · Cited by 776
Permissive underfeeding or standard enteral feeding in critically ill adults
Arabi, Y. M., Aldawood, A. S., Haddad, S. H., Al-Dorzi, H. M., Tamim, H. M., Jones, G., Mehta, S., McIntyre, L., Solaiman, O., Sakkijha, M. H., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1502826 · Cited by 614
Singer, P., Anbar, R., Cohen, J., Shapiro, H., Shalita-Chesner, M., Lev, S., Grozovski, E., Theilla, M., Frishman, S., & Madar, Z. (2011) · Intensive Care Medicine · doi:10.1007/s00134-011-2146-z · Cited by 566
Computerized energy balance and complications in critically ill patients: An observational study
DVIR, D., COHEN, J., & SINGER, P. (2006) · Clinical Nutrition · doi:10.1016/j.clnu.2005.10.010 · Cited by 429
Rice, T. W., Mogan, S., Hays, M. A., Bernard, G. R., Jensen, G. L., & Wheeler, A. P. (2011) · Critical Care Medicine · doi:10.1097/ccm.0b013e31820a905a · Cited by 351
Energy-dense versus routine enteral nutrition in the critically ill
The TARGET Investigators (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1811687 · Cited by 345
Optimal amount of calories for critically ill patients: Depends on how you slice the cake!*
Heyland, D. K., Cahill, N., & Day, A. G. (2011) · Critical Care Medicine · doi:10.1097/ccm.0b013e318226641d · Cited by 293
Intensive Nutrition in Acute Lung Injury: A Clinical Trial (INTACT)
Braunschweig, C. A., Sheean, P. M., Peterson, S. J., Gomez Perez, S., Freels, S., Lateef, O., Gurka, D., & Fantuzzi, G. (2015) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607114528541 · Cited by 199
Petros, S., Horbach, M., Seidel, F., & Weidhase, L. (2016) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607114528980 · Cited by 163
Kutsogiannis, J., Alberda, C., Gramlich, L., Cahill, N. E., Wang, M., Day, A. G., Dhaliwal, R., & Heyland, D. K. (2011) · Critical Care Medicine · doi:10.1097/ccm.0b013e3182282a83 · Cited by 112
Rugeles, S.-J., Rueda, J.-D., Díaz, C.-E., & Rosselli, D. (2013) · Indian Journal of Critical Care Medicine · doi:10.4103/0972-5229.123438 · Cited by 101
“[12] Likewise, the major disadvantage of enteral nutrition is the risk of underfeeding, which has also been associated with increased mortality[13] and higher risk of bacteremia.[14]”
Singer, P., De Waele, E., Sanchez, C., Ruiz Santana, S., Montejo, J. C., Laterre, P. F., Soroksky, A., Moscovici, E., & Kagan, I. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2020.05.024 · Cited by 80
Choi, E. Y., Park, D., & Park, J. (2015) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607114544322 · Cited by 76
Nutrition in acute pancreatitis: a critical review
Lodewijkx, P. J., Besselink, M. G., Witteman, B. J., Schepers, N. J., Gooszen, H. G., van Santvoort, H. C., Bakker, O. J., & Pancreatitis, O. B. O. T. D. (2016) · Expert Review of Gastroenterology & Hepatology · doi:10.1586/17474124.2016.1141048 · Cited by 67
Pharmaconutrition Review: Physiological Mechanisms
Pierre, J. F., Heneghan, A. F., Lawson, C. M., Wischmeyer, P. E., Kozar, R. A., & Kudsk, K. A. (2013) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607113493326 · Cited by 51
Hung, K.-Y., Chen, Y.-M., Wang, C.-C., Wang, Y.-H., Lin, C.-Y., Chang, Y.-T., Huang, K.-T., Lin, M.-C., & Fang, W.-F. (2019) · Nutrients · doi:10.3390/nu11020367 · Cited by 34
Moses, V., Mahendri, N. V., John, G., Peter, J. V., & Ganesh, A. (2009) · Clinical Toxicology · doi:10.1080/15563650902936664 · Cited by 29
A J-shaped relationship between caloric intake and survival in critically ill patients
Crosara, I. C. R., Mélot, C., & Preiser, J.-C. (2015) · Annals of Intensive Care · doi:10.1186/s13613-015-0079-3 · Cited by 29
Zhang, H., Wang, Y., Sun, S., Huang, X., Tu, G., Wang, J., Lin, Y., Xia, H., Yuan, Y., & Yao, S. (2019) · Medicine · doi:10.1097/md.0000000000014864 · Cited by 25
Khoshbaten, M., Ghaffarifar, S., Jabbar Imani, A., & Shahnazi, T. (2013) · Digestive Endoscopy · doi:10.1111/j.1443-1661.2012.01347.x · Cited by 24
Nutrition in the ICU: proof of the pudding is in the tasting
Singer, P., & Cohen, J. (2015) · Intensive Care Medicine · doi:10.1007/s00134-014-3537-8 · Cited by 8
Metadata
- Authors
- Rubinson, L., Diette, G. B., Song, X., Brower, R. G., & Krishnan, J. A.
- Venue
- Critical Care Medicine
- Published
- 2004-02
- Volume
- 32
- Issue
- 2
- Pages
- 350-357
- ISSN
- 0090-3493 (ISSN-L)
- OpenAlex
- W2096782843
- Cited by
- 385
- References
- 1
- FWCI
- 15.97
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
