2016
DOI: 10.1007/s00384-016-2689-0
|View full text |Cite
|
Sign up to set email alerts
|

Post-operative morbidity, but not mortality, is worsened by operative delay in septic diverticulitis

Abstract: Hartmann's procedure has remained the standard operation in emergent surgical management of acute diverticulitis. Delay in definitive surgical therapy greater than 24 h from admission is associated with higher rates of morbidity and protracted post-operative length of stay, but there is no increase in 30-day mortality. Prospective study is necessary to further answer the question of surgical timing in acute diverticulitis.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
12
0
4

Year Published

2017
2017
2023
2023

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 19 publications
(17 citation statements)
references
References 33 publications
1
12
0
4
Order By: Relevance
“…The rate of IHDs of 36·8 per cent in the present study was similar to that in an earlier study at a well staffed teaching hospital in Nigeria, where 50 per cent of patients waited over 24 h, and 16 per cent waited more than 48 h for operative intervention. At a regional hospital in Uganda 48 per cent of 31 operations were delayed (median delay 14·8 h), and in the Ivory Coast 86 per cent of patients had a delay of more than 24 h from symptom onset to surgery, with more than 36 per cent waiting over 48 h. Delays were defined in the present study as longer than 24 h. Most surgeons would agree that this is too long to wait for emergency care, and several other studies, especially in LMICs, have used this definition, although some high‐income countries (HICs) have used shorter times. Future research to measure specific time intervals, including time to decision to operate, time to diagnostic studies and exact times to procedures, should clarify the length of an acceptable in‐hospital wait.…”
Section: Discussionmentioning
confidence: 85%
See 2 more Smart Citations
“…The rate of IHDs of 36·8 per cent in the present study was similar to that in an earlier study at a well staffed teaching hospital in Nigeria, where 50 per cent of patients waited over 24 h, and 16 per cent waited more than 48 h for operative intervention. At a regional hospital in Uganda 48 per cent of 31 operations were delayed (median delay 14·8 h), and in the Ivory Coast 86 per cent of patients had a delay of more than 24 h from symptom onset to surgery, with more than 36 per cent waiting over 48 h. Delays were defined in the present study as longer than 24 h. Most surgeons would agree that this is too long to wait for emergency care, and several other studies, especially in LMICs, have used this definition, although some high‐income countries (HICs) have used shorter times. Future research to measure specific time intervals, including time to decision to operate, time to diagnostic studies and exact times to procedures, should clarify the length of an acceptable in‐hospital wait.…”
Section: Discussionmentioning
confidence: 85%
“…In HICs, delays are often considered to have shorter intervals of less than 6 or 12 h 7,8,22 . Even these shorter delays are associated with increased mortality for emergency abdominal surgery 7,8,12 , as well as specific conditions including perforated diverticulitis 11 and peptic ulcer disease 9 . In two Danish cohort studies 9,12 , each hour of operative delay was associated with a 2 per cent reduction in survival.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…al performed a retrospective ACS-NSQIP similar to our study focusing on strictly emergent cases of AD as defined by clinical deterioration related to sepsis (17). Operative delay beyond 24 hours was associated with an increase in morbidity but not mortality.…”
Section: Discussionmentioning
confidence: 95%
“…The multiple variable logistic regression analysis estimated odds ratios and 95% confidence intervals for days from admission for each outcome adjusted for confounders. The solution to the regression equation was used to predict the average probability of each outcome for each day following admission (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20). Average predicted values for each day were plotted to show the trend over 1 -20 days.…”
Section: Discussionmentioning
confidence: 99%