scholarly journals P-50 Hypercalcaemia of malignancy: an analysis of the medical management of palliative cancer patients in community, hospice and hospital settings

2017 ◽  
Vol 7 (Suppl 1) ◽  
pp. A18.2-A19
Author(s):  
Claire McKenzie ◽  
Rachel McDonald ◽  
Amara Nwosu ◽  
Alison White ◽  
Jenny Smith ◽  
...  
2018 ◽  
Vol 72 (13) ◽  
pp. B244
Author(s):  
Dinu Balanescu ◽  
Teodora Donisan ◽  
Michael Schechter ◽  
Tariq Dayah ◽  
Daryl Sudasena ◽  
...  

This chapter explores the three most common bowel-related issues that cancer patients often face: diarrhoea, constipation, and bowel obstruction. Cancer-related causes of diarrhoea are discussed, including new cancer drug therapies. Assessment and management of diarrhoea are explored in detail, with a focus on reversible causes and pharmacological and non-pharmacological management. Constipation is explored in similar detail. Management includes dietary advice, use of laxatives, and non-pharmacological measures. Bowel obstruction is discussed, focusing on early identification of symptoms and a look at both surgical and medical management options, including management of associated symptoms.


2005 ◽  
Vol 90 (1) ◽  
pp. 47-54 ◽  
Author(s):  
Lisa Madlensky ◽  
Shirley W. Flatt ◽  
Wayne A. Bardwell ◽  
Cheryl L. Rock ◽  
John P. Pierce ◽  
...  

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 18520-18520
Author(s):  
J. D. Isaacs ◽  
L. J. Stearns ◽  
W. H. Poling ◽  
D. Milton ◽  
J. Nasternak ◽  
...  

18520 Background: Long lengths of stay (LOS) and high readmission rates partly explain the high medical costs of treating cancer patients. Uncontrolled pain is the number two reason for hospital readmission. Aggressive measures and treatment strategies for relieving intractable cancer pain can require the implantation and management of intrathecal (IT) drug delivery systems. The objective was to examine LOS, episodes of readmission, intensive care (ICU) stays, and discharge status among patients treated with IT versus comprehensive medical management (CMM) for pain. Methods: Retrospective case-control medical record review methods were employed. Sixty-three randomly selected cancer patients who received an IT were matched on gender, age group, and primary diagnosis to 63 who did not. Results: The total LOS for the 63 non-IT patients was 567 days. The total LOS for the 63 IT patients was 301 days. The mean LOS among the non-IT patients was 9 days. The mean LOS among the IT patients was 4.7 days. Total LOS for the non-IT patients was statistically significantly higher. Among the 63 non-IT patients 94 total inpatient episodes were experienced. Among the 63 IT patients 68 total inpatient episodes were experienced. The likelihood of a non-IT patient readmitting was nine-fold higher than the IT patients and statistically significantly different. The total Intensive Care Unit (ICU) days for the 63 non-IT patients were 60 days. The total ICU days for the 63 IT patients were 30 days. The total ICU for the non-IT patients was not statistically significantly higher. The likelihood of a non-IT patient expiring while an inpatient was fourteen-fold higher than the IT patients and was statistically significantly different. The average cost per episode was 22% higher among the IT group versus the non-IT group. Conclusions: The implantable IT system for pain management among cancer patients experiencing intractable pain may be a significant influence on patient LOS, readmission, and ICU episodes even though it represents a 22% increase in average inpatient costs per episode. Controlled studies examining these hospital indicators as primary outcomes for these patients by evaluating the IT drug delivery system as compared to CMM are warranted. No significant financial relationships to disclose.


2021 ◽  
Vol 2 (1) ◽  
pp. 42-48
Author(s):  
Flavia Lelis Sousa ◽  
Sonia Moriguchi ◽  
Cleusa Andrade ◽  
Marcos Guimarães ◽  
Marcelo Cavicchioli ◽  
...  

Introduction/Background: Pulmonar thromboembolism (PTE) is characterized by obstruction of pulmonary circulation by blood clots and is commonly observed in hospitalized cancer patients. It is diagnosed using thoracic ANGIO-TC and pulmonary inhalation/perfusion (I/P) techniques by SPECT-CT3,6,7,9. The aim of this study is to analyse the performance of these two techniques in the diagnosis of PTE and to evaluate the concordance between their results patients profiles, and impact on clinical medical management. Methods: A descriptive, retrospective, quantitative, qualitative and unicentric cohort study; was carried out by analysing the ANGIO-CT and I/P tests by SPECT-CT of the population of câncer patients in a tertiary oncological institution from January 2015 to May 2018. A total of 410 tests in 363 patients were analysed. Results: Three hundred and thirty five patients underwent ANGIO-CT, 75 underwent I/P by SPECT-CT and 47 patients both.  The types of cancer that showed association with the diagnosis of PTE were lung, pancreas and brain cancers. Lung cancer showed the highest association with suspected and diagnosed PTE. Discussion: Diagnostic results and clinical managment were comparable for both SPECT-CT and ANGIO-CT. Both methods have proven to be reliable and highly accurate for the diagnosis of PTE in cancer patients. Conclusion: The SPECT-CT has shown great accuracy for the diagnosis of negative PTE and may be preferable and more indicated to rule out PTE in cancer patients due to its lower radiation, but for the diagnosis of positive PTE the chest ANGIO-TC is even more indicated.


2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Katarzyna Brzeźniakiewicz-Janus ◽  
Marcus Daniel Lancé ◽  
Andrzej Tukiendorf ◽  
Mirosław Franków ◽  
Joanna Rupa-Matysek ◽  
...  

Introduction. Many pathobiological processes that manifest in a patient’s organs could be associated with biomarker levels that are detectable in different human systems. However, biomarkers that promote early disease diagnosis should not be tested only in personalized medicine but also in large-scale diagnostic evaluations of patients, such as for medical management. Objective. We aimed to create an easy algorithmic risk assessment tool that is based on obtainable “everyday” biomarkers, identifying infection and cancer patients. Patients. We obtained the study data from the electronic medical records of 517 patients (186 infection and 331 cancer episodes) hospitalized at Gorzów Hospital, Poland, over a one and a half-year period from the 1st of January 2017 to the 30th of June 2018. Methods and Results. A set of consecutive statistical methods (cluster analysis, ANOVA, and ROC analysis) was used to predict infection and cancer. For in-hospital diagnosis, our approach showed independent clusters of patients by age, sex, MPV, and disease fractions. From the set of available “everyday” biomarkers, we established the most likely bioindicators for infection and cancer together with their classification cutoffs. Conclusions. Despite infection and cancer being very different diseases in their clinical characteristics, it seems possible to discriminate them using “everyday” biomarkers and popular statistical methods. The estimated cutoffs for the specified biomarkers can be used to allocate patients to appropriate risk groups for stratification purposes (medical management or epidemiological administration).


2014 ◽  
Vol 62 (6) ◽  
pp. 1095-1098 ◽  
Author(s):  
John H. Carter ◽  
Jennifer L. Lenahan ◽  
Gisele E. Ishak ◽  
J. Russell Geyer ◽  
Jessica Pollard ◽  
...  

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