Literature DB >> 2066822

Prognostic significance of marked leukocytosis in hospitalized patients.

R Chang1, G Y Wong.   

Abstract

STUDY
OBJECTIVE: To identify the prognostic significance of marked neutrophilic leukocytosis (MNL), defined as white blood cell (WBC) count of greater than or equal to 25,000/microL and greater than or equal to 80% mature neutrophils by differential count, in hospitalized patients.
DESIGN: A central laboratory computer identified all consecutive patients with MNL in a one-month period. After exclusion of outpatients, neonates, and patients with hematologic malignancies or incomplete records, the remaining patients were studied and followed until discharge or death.
SETTING: Inpatient services of a 988-bed tertiary care teaching hospital. PATIENTS: 72 inpatients with MNL.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Associated conditions and hospital mortality were recorded. Potentially confounding or contributing variables, including age, sex, intensive care unit stay, infection, acidosis, uremia, malignancy, hemorrhage, surgery or invasive procedure, peak WBC count, and duration of MNL, were examined by multivariate analysis with mortality as the outcome variable. Overall hospital mortality was 29% in study patients. A higher peak WBC count (p = 0.0046), increasing age (p = 0.0058), MNL duration of greater than one day (p = 0.025), and lack of associated invasive procedures (p = 0.04) were jointly significant in the prediction of mortality in MNL patients.
CONCLUSIONS: The results confirm the impression of poor outcome associated with MNL and validate the use of MNL data in indices of severity of illness and as a prognostic marker for hospitalized patients regardless of underlying disease.

Entities:  

Mesh:

Year:  1991        PMID: 2066822     DOI: 10.1007/BF02598960

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  25 in total

1.  Leukemoid blood reactions.

Authors:  S V HILTS; C C SHAW
Journal:  N Engl J Med       Date:  1953-09-10       Impact factor: 91.245

Review 2.  Hematopoietic growth factors. Biology and clinical applications.

Authors:  J E Groopman; J M Molina; D T Scadden
Journal:  N Engl J Med       Date:  1989-11-23       Impact factor: 91.245

3.  Diagnostic Significance of Changes in Leukocytes.

Authors:  M M Wintrobe
Journal:  Bull N Y Acad Med       Date:  1939-04

4.  Lithium and leukocytosis.

Authors:  B Shopsin; R Friedmann; S Gershon
Journal:  Clin Pharmacol Ther       Date:  1971 Nov-Dec       Impact factor: 6.875

5.  Prognosis in acute organ-system failure.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Ann Surg       Date:  1985-12       Impact factor: 12.969

6.  Modification of the American Burn Association injury severity grading system.

Authors:  R F Edlich; N Larkham; J T O'Hanlan; R Berry; J Hiebert; G T Rodeheaver; M T Edgerton
Journal:  JACEP       Date:  1978-06

7.  Hypernatremia in elderly patients. A heterogeneous, morbid, and iatrogenic entity.

Authors:  N A Snyder; D W Feigal; A I Arieff
Journal:  Ann Intern Med       Date:  1987-09       Impact factor: 25.391

8.  APACHE-acute physiology and chronic health evaluation: a physiologically based classification system.

Authors:  W A Knaus; J E Zimmerman; D P Wagner; E A Draper; D E Lawrence
Journal:  Crit Care Med       Date:  1981-08       Impact factor: 7.598

9.  Excess leukocytosis (leukemoid reactions) associated with malignant diseases.

Authors:  L C McKee
Journal:  South Med J       Date:  1985-12       Impact factor: 0.954

10.  Implications of leukocytosis and fever at conclusion of antibiotic therapy for intra-abdominal sepsis.

Authors:  E S Lennard; E P Dellinger; M J Wertz; B H Minshew
Journal:  Ann Surg       Date:  1982-01       Impact factor: 12.969

View more
  5 in total

1.  A new look at an old laboratory test: the WBC count.

Authors:  D C Dale
Journal:  J Gen Intern Med       Date:  1991 May-Jun       Impact factor: 5.128

2.  Which observations from the complete blood cell count predict mortality for hospitalized patients?

Authors:  Abel N Kho; Siu Hui; Joe G Kesterson; Clement J McDonald
Journal:  J Hosp Med       Date:  2007-01       Impact factor: 2.960

3.  Full blood count pattern of pre-chemotherapy breast cancer patients in Lagos, Nigeria.

Authors:  Akinsegun Akinbami; Abiodun Popoola; Adewumi Adediran; Adedoyin Dosunmu; Olajumoke Oshinaike; Philip Adebola; Sarah Ajibola
Journal:  Caspian J Intern Med       Date:  2013

4.  Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.

Authors:  Kumardeep Chaudhary; Akhil Vaid; Áine Duffy; Ishan Paranjpe; Suraj Jaladanki; Manish Paranjpe; Kipp Johnson; Avantee Gokhale; Pattharawin Pattharanitima; Kinsuk Chauhan; Ross O'Hagan; Tielman Van Vleck; Steven G Coca; Richard Cooper; Benjamin Glicksberg; Erwin P Bottinger; Lili Chan; Girish N Nadkarni
Journal:  Clin J Am Soc Nephrol       Date:  2020-10-08       Impact factor: 8.237

5.  Impact of indirect bilirubin and uric acid on outcomes of sepsis-associated acute kidney injury (sAKI).

Authors:  Alaa Efat; Sabry Shoeib; Eman Ebrahim; Zeinab Kassemy; Hanan M Bedair; Mohammed Abozenah
Journal:  Int Urol Nephrol       Date:  2022-06-06       Impact factor: 2.266

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.