ClinicalTrials.gg
CompletedNCT06901544CLIUpdated Dec 24, 2025Results posted

Capillary Leak Index as a Prognostic Indicator for Post-Operative Abdominal Sepsis in Critically Ill Patients

An observational study in Intra-Abdominal Infections, Intestinal Obstruction and Appendicitis Acute, sponsored by Ain Shams University. Completed at 1 site in Egypt. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-12-24.

Primary conditionAppendicitisRegistry: Intraabdominal InfectionsReclassifiedWhy we changed it
Registry
Intraabdominal Infections — the first condition term the registry derived for this study.
ClinicalTrials.gg
Appendicitis
Why
  1. The study's listed conditions name Appendicitis, a narrower term within Intraabdominal Infections.
Confidence
High: the new condition is named in the study's own listed conditions. Of 351 hand-checked studies reclassified this way, 68% were exactly right and 84% in the right disease family; the registry's first term was right for 5% (measured 2026-10-21). How we classify →
Wrong?
Tell us the study's main condition →

Sponsored by Ain Shams University · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
100
Ages
18 Years and older
Sex
All
01

Study summary

In this study the investigators going to evaluate the "CLI" as an early prognostic indicator for post-operative abdominal sepsis in critically ill patients.

Read the detailed description

Sepsis has been recognized as a life-threatening organ dysfunction caused by a dysregulated host response to infection. Considerable advances have since been made into the pathobiology (changes in organ function, morphology, cell biology, biochemistry, immunology, and circulation), management, and epidemiology of sepsis, suggesting the need for continuous research.

Peritonitis can be classified by the anatomical integrity of the abdominal cavity. Primary peritonitis is associated with undamaged intra-abdominal cavity organs. It is also known as spontaneous bacterial peritonitis and is treated without surgical intervention. The source of infection is often hard to establish and is usually found occurring in infants and cirrhotic patients.

Secondary peritonitis is an infection of the peritoneal cavity after hollow viscus perforation, anastomotic leak, ischemic necrosis, or other injuries of the gastrointestinal tract. Tertiary peritonitis is defined as a serious recurrent or persistent intra-abdominal infection after the successful control of secondary peritonitis. Irrespective of the cause, several measures are available and accepted as improving the survival rate, the most important being the early recognition of intra-abdominal infection. Efforts to achieve fluid balance should be initiated immediately to replace any intravascular insufficiency. Vasoactive agents may be necessary to augment and assist fluid restoration.

The treatment strategy for peritonitis primarily aims at the stabilization of possible organ dysfunction by routine intensive care medicine. Low risk secondary peritonitis (localized peritonitis), Ampicillin/Sulbactam or Carbapenem can be used as a monotherapy, however in combination therapy 2nd generation Cephalosporin + Metronidazole or 3rd generation Cephalosporin + Metronidazole can be used. High risk Secondary peritonitis Piperacillin/Tazobactam or Carbapenem or Tigecycline can be used as a monotherapy. A combination therapy 4th generation Cephalosporin + Metronidazole are usually used. Tertiary peritonitis antifungal therapy in high-risk patients and empirical therapy should cover the probable micro flora and should be changed according to the culture results.

Capillary leak syndrome (CLS) refers to a syndrome of deranged fluid homeostasis, often observed in critically ill patients, CLS is frequently defined by excessive fluid shift from the intravascular to the extravascular space, resulting in intravascular hypovolemia, extravascular edema formation, and hypo perfusion necessitating further fluid resuscitation. In health, fluid exchange between intravascular and extravascular spaces is vital for maintaining the body's homeostasis. However, disturbances in this delicate equilibrium, can lead to the clinical picture of CLS.

CLI is measured by dividing CRP level by albumin level. Systematic response to tissue injury, including major surgery, is marked by increased pro inflammatory cytokines, which promotes CRP production and capillary leakage. If the injury still exists, inflammatory process will continue.

Our study will be done to evaluate the association between capillary leak index (CLI) and intensive care unit (ICU) related mortality in patients underwent major abdominal surgery.

02

Conditions studied

  • Intra-Abdominal Infections
  • Intestinal Obstruction
  • Appendicitis Acute
  • Perforated Viscus

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Keywords

  • Capillary Leak Index
  • secondary abdominal sepsis
  • sepsis
  • Prognostic value
  • Good indicator
  • mortality
  • Intensive Care Unit
  • ICU
03

In context

Appendicitis Reclassified

419 studies on the registry are indexed under Appendicitis; 67 are open to participants now.

This study's enrollment of 100 is below the median of 200 across 151 observational studies indexed under Appendicitis.

Browse Appendicitis studies →

Lead sponsor

Ain Shams University is the lead sponsor of 1,950 studies on the registry; 429 are open to participants now.

Of its 35 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.

Compared within Appendicitis, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Intraabdominal Infections. The counts are of registry records indexed under each term, refreshed daily. How we classify →

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Sampling method
Non-probability sample

Study population

ICU Patient Post operative abdominal sepesis

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Age: ≥18 years old presented with Post-operative intra-abdominal sepsis due to secondary peritonitis.
  • Sex: Both sexes.
  • Post-Operative secondary peritonitis eg. Perforated viscus and abdominal abscess.
  • Estimated length of ICU stays ≥48 hrs.

Exclusion criteria

Exclusion Criteria:

  • Patient refusal.
  • Advanced Liver diseases According New MELD score ≥ 20 )Kamath et al.,2001)
  • Renal diseases (Moderate decrease in 30-59 ml/min/1.73m²--Severe decrease in GFR 15-29 ml/min/1.73m²--Kidney failure less than 15 ml/min/1.73m² or on Hemodialysis).
  • Pregnancy.
  • Primary peritonitis.
  • Tertiary peritonitis.
  • Mortality within first 48hrs of ICU admission.
  • Advanced ( Stage III localized malignancy with spreading lymph nodes Stage IV spreading to Other parts of the body such as to the liver, lungs and bones).
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

GFR and eGFR (kidney filtering)

GFR (glomerular filtration rate) is how much blood the kidneys filter each minute. It is usually estimated from a blood test — eGFR, by formulas such as CKD-EPI or MDRD — and some studies ask for it to be measured directly instead. Usually given in mL/min/1.73 m².

Check the method, the units and the minimum the study states. A value of 90 or above is in the normal-or-high range, but kidney damage can show in other tests too.

Cancer (malignancy)

Malignancy means cancer. Criteria about another or earlier malignancy ask whether you have had a different cancer, usually within a set number of years.

Some are commonly allowed, such as treated skin cancers other than melanoma and early cancers removed completely — check the exceptions this study lists.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
100 participants (actual)
Target follow-up
28 Days
Patient registry
Yes

Groups and cohorts

  • low Capillary Leak Index < cutoff point 85.55

    patient with Post operative Intra-abdominal sepsis with CLI at or less than 85.55 the cutoff point.

  • high Capillary Leak Index > cutoff point 85.55

    patient with Post operative Intra-abdominal sepsis with CLI higher than 85.55 the cutoff point.

06

What researchers measure

Primary outcomes

  1. Number of Participants Who Died by Day 28

    Baseline CLI will be calculated on ICU admission . Mortality status (alive or dead) will be assessed at 28 days after ICU admission. The primary outcome is the number of participants who died from any cause by day 28 after ICU admission. The Association between basline CLI and 28-day all- cause mortality will be evaluated.

    Time frame: 28 days after ICU admission

Secondary outcomes

  1. ICU Stay [Unit: More Than 3 Days].

    ICU Stay \[Unit: more than 3 Days\].

    Time frame: up to 28 days

  2. Procalcitonin [Unit: ng/mL] [Time Frame: 3 Days]

    The Relationship Between Variables: The investigators will analyze CLI as a prognostic indicator using logistic regression to predict risk of ICU mortality.

    Time frame: up to 3 days

07

Results

Posted Dec 24, 2025
Limitations and caveats
In this study, 124 patients were assessed for eligibility, 18 patients did not meet the criteria and 6 patients refused to participate in the study. The remaining patients were randomly allocated into two equal groups (50 patients in each). All allocated patients were followed-up and analyzed statistically.

Participant flow

"100 Participants were recruited from Surgical intensive Care Unit, Ain Shams University Hospitals. In between March 2025 and Aug 2025." "Recruitment was conducted through ICU."

Participant flow — Overall Study
MilestoneLow CLI at or Less Than Cutoff Point 85.55High CLI More Than Cutoff Point 85.55
Started5050
Completed5050
Not completed00

Outcome measures

PrimaryNumber of Participants Who Died by Day 28

Baseline CLI will be calculated on ICU admission . Mortality status (alive or dead) will be assessed at 28 days after ICU admission. The primary outcome is the number of participants who died from any cause by day 28 after ICU admission. The Association between basline CLI and 28-day all- cause mortality will be evaluated.

Time frame:
28 days after ICU admission
Reported as:
Count of participants · Participants
Number of Participants Who Died by Day 28
ParticipantsLow CLI equal or less than 85.55 cutoff point.High CLI greater than 85.55 cutoff point.
Number of Participants Who Died by Day 288 (3 to 20)23 (2 to 16)
Statistical analysis
  • Low CLI equal or less than 85.55 cutoff point. vs High CLI greater than 85.55 cutoff point. · Chi-squared · p = 0.001
SecondaryICU Stay [Unit: More Than 3 Days].

ICU Stay \[Unit: more than 3 Days\].

Time frame:
up to 28 days
Reported as:
Mean · days
ICU Stay [Unit: More Than 3 Days].
daysLow CLI equal or less than 85.55 cutoff point.High CLI greater than 85.55 cutoff point.
ICU Stay [Unit: More Than 3 Days].7.96 (5 to 10)8.78 (7 to 12)
Statistical analysis
  • Low CLI equal or less than 85.55 cutoff point. vs High CLI greater than 85.55 cutoff point. · t-test, 2 sided · p = 0.243 · Mean difference (final values): 0.243 · 95% CI -0.567 to 2.207
SecondaryProcalcitonin [Unit: ng/mL] [Time Frame: 3 Days]

The Relationship Between Variables: The investigators will analyze CLI as a prognostic indicator using logistic regression to predict risk of ICU mortality.

Time frame:
up to 3 days
Reported as:
Mean · ng/ml
Procalcitonin [Unit: ng/mL] [Time Frame: 3 Days]
ng/mlLow CLI equal or less than 85.55 cutoff point.High CLI greater than 85.55 cutoff point.
Procalcitonin [Unit: ng/mL] [Time Frame: 3 Days]8.65 ± 16.5516.62 ± 20.63
Statistical analysis
  • Low CLI equal or less than 85.55 cutoff point. vs High CLI greater than 85.55 cutoff point. · t-test, 2 sided · p = 0.037 · Mean difference (final values): 7.97 · 95% CI 0.54 to 15.40

Adverse events

Collected over from the second day of ICU admission until end of follow-up, up to 28 days.. Non-serious events are listed at a 2% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Low CLI Equal or Less Than 85.55 Cutoff Point.8/50 (16%)27/50 (54%)14/50 (28%)
High CLI Greater Than 85.55 Cutoff Point.23/50 (46%)35/50 (70%)19/50 (38%)
Most frequent serious events
Most frequent serious events
EventLow CLI Equal or Less Than 85.55 Cutoff Point.High CLI Greater Than 85.55 Cutoff Point.
Acute Kidney injury (AKI)Renal and urinary disorders15/5017/50
Acute Respiratory Distress SyndromeRespiratory, thoracic and mediastinal disorders7/5012/50
Multi Organ DisfunctionsGeneral disorders4/506/50
Disseminated intravascular coagulation (DIC)Blood and lymphatic system disorders1/500/50
Most frequent other events
Most frequent other events
EventLow CLI Equal or Less Than 85.55 Cutoff Point.High CLI Greater Than 85.55 Cutoff Point.
feverImmune system disorders6/5010/50
VomitingGastrointestinal disorders6/507/50
constipationGastrointestinal disorders2/502/50

Baseline characteristics

Age, Customized
Age, Customized(Age (years))Low CLI Equal or Less Than 85.55 Cutoff Point.High CLI Greater Than 85.55 Cutoff Point.Total
Age56 (18 to 88)60 (19 to 89)58 (18 to 89)
Sex: Female, Male
Sex: Female, Male(Participants)Low CLI Equal or Less Than 85.55 Cutoff Point.High CLI Greater Than 85.55 Cutoff Point.Total
Female131225
Male373875
Diabetes mellitus disease (DM)
Diabetes mellitus disease (DM)(Participants)Low CLI Equal or Less Than 85.55 Cutoff Point.High CLI Greater Than 85.55 Cutoff Point.Total
positive141832
negative363268
Cardiovascular diseases
Cardiovascular diseases(Participants)Low CLI Equal or Less Than 85.55 Cutoff Point.High CLI Greater Than 85.55 Cutoff Point.Total
positive191736
negative313364
Hepatic diseases
Hepatic diseases(Participants)Low CLI Equal or Less Than 85.55 Cutoff Point.High CLI Greater Than 85.55 Cutoff Point.Total
Positive123
Negative494897
Renal diseases
Renal diseases(Participants)Low CLI Equal or Less Than 85.55 Cutoff Point.High CLI Greater Than 85.55 Cutoff Point.Total
positive6915
negative444185
surgical history
surgical history(Participants)Low CLI Equal or Less Than 85.55 Cutoff Point.High CLI Greater Than 85.55 Cutoff Point.Total
positive221638
negative283462
Drugs History
Drugs History(Participants)Low CLI Equal or Less Than 85.55 Cutoff Point.High CLI Greater Than 85.55 Cutoff Point.Total
positive272451
negative232649

9 further baseline measures are reported on the registry.

08

Study locations

1 site
  • Surgical intensive Care Unit, Ain Shams University Hospitals.
    Cairo, Cairo Governorate 7154411, Egypt
09

References and documents

Publications

  • Vincent JL, De Backer D. Circulatory shock. N Engl J Med. 2013 Oct 31;369(18):1726-34. doi: 10.1056/NEJMra1208943. No abstract available. PubMed 24171518 ↗
  • 12. Susanti A, Lestari MI, Sedono R, IA L. High capillary leak index is associated with increased risk of ICU-related mortality after major abdominal surgery. Critical Care & Shock. 2021 Nov 1;24(6).
  • Sartelli M, Abu-Zidan FM, Catena F, Griffiths EA, Di Saverio S, Coimbra R, Ordonez CA, Leppaniemi A, Fraga GP, Coccolini F, Agresta F, Abbas A, Abdel Kader S, Agboola J, Amhed A, Ajibade A, Akkucuk S, Alharthi B, Anyfantakis D, Augustin G, Baiocchi G, Bala M, Baraket O, Bayrak S, Bellanova G, Beltran MA, Bini R, Boal M, Borodach AV, Bouliaris K, Branger F, Brunelli D, Catani M, Che Jusoh A, Chichom-Mefire A, Cocorullo G, Colak E, Costa D, Costa S, Cui Y, Curca GL, Curry T, Das K, Delibegovic S, Demetrashvili Z, Di Carlo I, Drozdova N, El Zalabany T, Enani MA, Faro M, Gachabayov M, Gimenez Maurel T, Gkiokas G, Gomes CA, Gonsaga RA, Guercioni G, Guner A, Gupta S, Gutierrez S, Hutan M, Ioannidis O, Isik A, Izawa Y, Jain SA, Jokubauskas M, Karamarkovic A, Kauhanen S, Kaushik R, Kenig J, Khokha V, Kim JI, Kong V, Koshy R, Krasniqi A, Kshirsagar A, Kuliesius Z, Lasithiotakis K, Leao P, Lee JG, Leon M, Lizarazu Perez A, Lohsiriwat V, Lopez-Tomassetti Fernandez E, Lostoridis E, Mn R, Major P, Marinis A, Marrelli D, Martinez-Perez A, Marwah S, McFarlane M, Melo RB, Mesina C, Michalopoulos N, Moldovanu R, Mouaqit O, Munyika A, Negoi I, Nikolopoulos I, Nita GE, Olaoye I, Omari A, Ossa PR, Ozkan Z, Padmakumar R, Pata F, Pereira Junior GA, Pereira J, Pintar T, Pouggouras K, Prabhu V, Rausei S, Rems M, Rios-Cruz D, Sakakushev B, Sanchez de Molina ML, Seretis C, Shelat V, Simoes RL, Sinibaldi G, Skrovina M, Smirnov D, Spyropoulos C, Tepp J, Tezcaner T, Tolonen M, Torba M, Ulrych J, Uzunoglu MY, van Dellen D, van Ramshorst GH, Vasquez G, Venara A, Vereczkei A, Vettoretto N, Vlad N, Yadav SK, Yilmaz TU, Yuan KC, Zachariah SK, Zida M, Zilinskas J, Ansaloni L. Global validation of the WSES Sepsis Severity Score for patients with complicated intra-abdominal infections: a prospective multicentre study (WISS Study). World J Emerg Surg. 2015 Dec 16;10:61. doi: 10.1186/s13017-015-0055-0. eCollection 2015. PubMed 26677396 ↗
  • Saravi B, Goebel U, Hassenzahl LO, Jung C, David S, Feldheiser A, Stopfkuchen-Evans M, Wollborn J. Capillary leak and endothelial permeability in critically ill patients: a current overview. Intensive Care Med Exp. 2023 Dec 20;11(1):96. doi: 10.1186/s40635-023-00582-8. PubMed 38117435 ↗
  • 9. PALACIOS MOGUEL, Paul et al. Capillary leak index as a new prognostic tool in septic shock Med. Crít. (Col. Mex. Med. Crít.) vol.32 no.3 Mexico City May/Jun. 2018.
  • Meng R, Guan X, Sun L, Fei Z, Li Y, Luo M, Ma A, Li H. The efficacy and safety of eravacycline compared with current clinically common antibiotics in the treatment of adults with complicated intra-abdominal infections: A Bayesian network meta-analysis. Front Med (Lausanne). 2022 Sep 16;9:935343. doi: 10.3389/fmed.2022.935343. eCollection 2022. PubMed 36186801 ↗
  • Muresan MG, Balmos IA, Badea I, Santini A. Abdominal Sepsis: An Update. J Crit Care Med (Targu Mures). 2018 Oct 1;4(4):120-125. doi: 10.2478/jccm-2018-0023. eCollection 2018 Oct. PubMed 30574564 ↗
  • Morrissey I, Hackel M, Badal R, Bouchillon S, Hawser S, Biedenbach D. A Review of Ten Years of the Study for Monitoring Antimicrobial Resistance Trends (SMART) from 2002 to 2011. Pharmaceuticals (Basel). 2013 Nov 1;6(11):1335-46. doi: 10.3390/ph6111335. PubMed 24287460 ↗
  • Montravers P, Dufour G, Guglielminotti J, Desmard M, Muller C, Houissa H, Allou N, Marmuse JP, Augustin P. Dynamic changes of microbial flora and therapeutic consequences in persistent peritonitis. Crit Care. 2015 Mar 2;19(1):70. doi: 10.1186/s13054-015-0789-9. PubMed 25887649 ↗
  • Kamath PS, Wiesner RH, Malinchoc M, Kremers W, Therneau TM, Kosberg CL, D'Amico G, Dickson ER, Kim WR. A model to predict survival in patients with end-stage liver disease. Hepatology. 2001 Feb;33(2):464-70. doi: 10.1053/jhep.2001.22172. PubMed 11172350 ↗
  • Donnelly JP, Safford MM, Shapiro NI, Baddley JW, Wang HE. Application of the Third International Consensus Definitions for Sepsis (Sepsis-3) Classification: a retrospective population-based cohort study. Lancet Infect Dis. 2017 Jun;17(6):661-670. doi: 10.1016/S1473-3099(17)30117-2. Epub 2017 Mar 4. PubMed 28268067 ↗
  • Clements TW, Tolonen M, Ball CG, Kirkpatrick AW. Secondary Peritonitis and Intra-Abdominal Sepsis: An Increasingly Global Disease in Search of Better Systemic Therapies. Scand J Surg. 2021 Jun;110(2):139-149. doi: 10.1177/1457496920984078. Epub 2021 Jan 7. PubMed 33406974 ↗
  • 1. Ade Susanti1,2 , Mayang Indah Lestari et al. High capillary leak index is associated with increased risk of ICU-related mortality after major abdominal surgery Crit Care Shock 2021) 24:293-300.

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Undecided

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 24, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT06901544
Responsible party
Osama Khalil (Principal Investigator, Ain Shams University) — Principal investigator
First posted
Mar 30, 2025
Start date
Mar 4, 2025
Primary completion
Aug 1, 2025
Completion
Aug 10, 2025
Results posted
Dec 24, 2025
Last update
Dec 24, 2025

Study contacts

Ahmed M Ahmed, MD.
study director · Ain shams University Faculty of medicine
Hanaa A El-Gendy, MD
study chair · Ain Shams University Faculty of medicine

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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