Peritonitis is a common problem for patients receiving continuous ambulatory peritoneal dialysis. Episodes that do not respond to antibiotics within 96 hours are associated with substantial morbidity and mortality. The purpose of this study was to develop a method for identifying these patients at the time of hospital admission.
We reviewed all cases of peritonitis associated with continuous ambulatory peritoneal dialysis that occurred at the Albuquerque (NM) Veterans Affairs Medical Center during a 10-year period. Episodes of peritonitis were randomly assigned to a training set or a validation set. Persistent infections were those lasting more than 96 hours. For training cases, stepwise logistic regression was used to develop a predictive model for persistent infection using information available at the time of hospital admission. The model was then used to assign validation cases to "high-" and "low-risk" categories. The group difference in the proportion of persistent cases was tested by X2 analysis.
Sixty patients had 120 episodes of peritonitis during the study period. Of 63 episodes assigned to the training set, 26 (41.3%) lasted more than 96 hours (persistent cases) and 37 were cured in 96 hours or less (usual cases). Compared with usual cases, persistent episodes were characterized by a higher age at presentation and a greater decline from preinfection values for hemoglobin and serum potassium, serum urea nitrogen, creatinine, albumin, and calcium. Advanced age and marked declines in serum potassium and albumin levels were identified by logistic regression as independent risk factors for persistent infection. The model identified 28 of 57 validation cases as high risk. Compared with low-risk cases, these episodes were much more likely to be persistent (64.3% vs 24.1%; P=.002) and result in death (32.1% vs 3.4%; P=.005).
Advanced age and marked declines in serum albumin and potassium levels are poor prognostic signs in peritonitis associated with continuous ambulatory peritoneal dialysis. Patients with these findings should be treated aggressively.(Arch Intern Med. 1993;153:2317-2321)
Thank you for submitting a comment on this article. It will be reviewed by JAMA Internal Medicine editors. You will be notified when your comment has been published. Comments should not exceed 500 words of text and 10 references.
Do not submit personal medical questions or information that could identify a specific patient, questions about a particular case, or general inquiries to an author. Only content that has not been published, posted, or submitted elsewhere should be submitted. By submitting this Comment, you and any coauthors transfer copyright to the journal if your Comment is posted.
* = Required Field
Disclosure of Any Conflicts of Interest*
Indicate all relevant conflicts of interest of each author below, including all relevant financial interests, activities, and relationships within the past 3 years including, but not limited to, employment, affiliation, grants or funding, consultancies, honoraria or payment, speakers’ bureaus, stock ownership or options, expert testimony, royalties, donation of medical equipment, or patents planned, pending, or issued. If all authors have none, check "No potential conflicts or relevant financial interests" in the box below. Please also indicate any funding received in support of this work. The information will be posted with your response.
Some tools below are only available to our subscribers or users with an online account.
Download citation file:
Web of Science® Times Cited: 10
Customize your page view by dragging & repositioning the boxes below.
More Listings atJAMACareerCenter.com >
Enter your username and email address. We'll send you a link to reset your password.
Enter your username and email address. We'll send instructions on how to reset your password to the email address we have on record.
Athens and Shibboleth are access management services that provide single sign-on to protected resources. They replace the multiple user names and passwords necessary to access subscription-based content with a single user name and password that can be entered once per session. It operates independently of a user's location or IP address. If your institution uses Athens or Shibboleth authentication, please contact your site administrator to receive your user name and password.