Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 143
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 143
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 209
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 994
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3134
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 574
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 488
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Introduction: To calculate the number of days patients with terminal non-small cell lung cancer (NSCLC) spent at home in the last 3 months of life, and to identify factors that predict a lower proportion of days at home.
Material And Methods: Retrospective study of 434 deceased patients with NSCLC. The number of days spent in a hospital or nursing home was identified from electronic health records.
Results: Most patients received primary chemotherapy. Only 45% received palliative care provided by a dedicated palliative care team (PCT). In the last 3 months of life, only 39 patients (9%) were not hospitalized. The median number of days spent in hospital was 17, range 0-61. Hospital death occurred in 48%. Admission to a nursing home was recorded in 45%. Overall, the patients spent a median of 64 days at home. Both, older patients and females spent fewer days at home. Family network and aspects of palliative care, possibly reflecting the symptom duration or burden, also impacted days at home.
Conclusions: Long-lasting need for PCT support (not just the final 3 months) and earlier necessity for opioid analgesics were predictive for a reduced number of days at home. However, modifiable factors such as sex were identified too.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230237 | PMC |
http://dx.doi.org/10.5114/wo.2023.127192 | DOI Listing |
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