Introduction

A laparotomy is a form of surgery requiring cutting into the abdominal cavity to treat serious abdominal diseases and save life [1]. It is the most common kind of surgery for conditions such as abdominal infections, intestinal obstruction, tumors, hernias, and intestinal traumas [2]. Globally, mortality rate for laparotomy surgery ranges between 8 and 18%, with varying rates in high, low, and middle-income countries [3,4,5,6].

Evidence from the Netherlands and Japan has shown that some patients recover and are discharged from the hospital after laparotomy surgery, while others develop an event that causes in-hospital mortality [7, 8]. A prior study revealed that the mortality rate after elective laparotomies in middle-income and low-income countries was equivalent to the death rate after emergency laparotomies in high-income countries [9]. Laparotomy is one of the top three surgical treatments in sub-Saharan Africa [10], accounts for a higher proportion of surgical procedures, and contributes to 2–3 times higher in-hospital mortality [11].

Evidence from Malawi and Tanzania showed that the magnitude of in-hospital mortality after laparotomy was 14.8% and 17%, respectively [12, 13]. A study from Ethiopia showed that the magnitude of in-hospital mortality after laparotomy was 8.1–8.5% ( [14, 15].

Preexisting comorbidities, systemic sepsis, inadequate tissue oxygenation, patients presenting late for surgery, delays prior to hospitalization, and late referral were all factors contributing to in-hospital mortality after laparotomy in Sub-Saharan Africa [16, 17]. Great progress has been made over the last two decades, and the Lancet Commission on Global Surgery 2030 recommends that district hospitals in both developed and developing countries provide basic surgical care and emergency care, including laparotomy, as well as a range of other services [18].

Ethiopia has worked to fill gaps in life-saving surgery through safe surgery, improving access to safe, necessary anaesthetic and surgical interventions in hospitals [19]. A previous study indicated that identifying factors associated with postoperative mortality was regarded as an indirect measure of surgical quality, aiding in the identification of reasons for increased mortality and the identification of selected practical intervention strategies [20, 21].

Despite the fact that several studies have been conducted in developed as well as developing countries among patients who had undergone laparotomy surgery, scholars are aware of very few studies on factors associated with in-hospital mortality among patients who had undergone laparotomy surgery. There have been no previous studies in the study area.

This multicentre study aims to assess magnitude of in-hospital mortality and associated factors for patients undergone laparotomy surgery in tertiary hospitals in western Oromia, Ethiopia, 2022.

Methods

Study area and period

The study was carried out from January 1, 2017, to December 31, 2021, at tertiary hospitals in western Oromia. Ambo University Referral Hospital, Nekemte Comprehensive Specialized Hospital, Wallaga University Referral Hospital, Jimma University Specialized Hospital, and Mettu Karl Comprehensive Specialized Hospital are the five public tertiary hospitals in Western Oromia. The study was conducted at the three hospitals randomly selected by lottery method and listed below. Ambo University Referral Hospital is located in Ambo, the capital of East Showa, and is 114 km from Ethiopia’s capital, Addis Ababa. The hospital serves around 5 million people and serves as a teaching hospital, offering multidisciplinary services, such as surgical interventions [22].

Nekemte Comprehensive Specialized Hospital is located in Nekemte town, East Wallaga, Ethiopia. The hospital provides services to approximately 5 million people in the catchment area and has multidisciplinary specialists [23, 24].

Mettu Karl Hospital is in Mettu, a city 600 km from Ethiopia’s capital, Addis Ababa. The hospital serves over 2.5 million people in the Ilu Ababor Region, Gambella Regional State, and the Southern Nationality and People’s Republic. The hospital provides multidisciplinary services, including surgery, and serves about 13,453 inpatients and 80,000 outpatients per year [25].

Study design

An institutional-based cross-sectional study.

Source and study population

Source population

Patients who undergone laparotomy surgery.

Study population

Patients who undergone laparotomy surgery from January 1, 2017- December 31, 2021 GC.

Inclusion and exclusion criteria

Inclusion criteria

Patients who undergone laparotomy surgery.

Exclusion criteria

Cesarean section, obstetrics & Gynecologic laparotomy.

Study variables

Dependent variable

In-hospital mortality.

Independent variables

Patient-related factors are age, sex, ASA status, residence, presence of comorbidities, and systolic blood pressure.

Disease-related factors are initial admission, surgical indication or diagnosis, duration of onset of symptoms, urgency of surgery, presence of preoperative sepsis, and postoperative complications.

Care-related factors are preoperative imaging, laboratory tests, organ function tests, blood transfusion, intraoperative blood loss, preoperative medication, prophylaxis antibiotics, vasopressor use, anaesthesia drugs, use of the WHO checklist, duration of surgery, postoperative follow-up, hospital stay, intensive care unit admission, and duration of stay in the intensive care unit.

Operational definition

Laparotomy

Surgical incision into the abdominal cavity for treatment or diagnosis [1].

In-hospital mortality

Death occurred in the hospital after laparotomy [14].

ASA status

The American Society of Anaesthesiologists’ physiological status classification system categorises patients based on operative risk at the time of assessment into six classes (I-VI): ASA I: healthy patients; ASA II: mild systemic disease; ASA III: severe systemic disease with functional loss; ASA IV: severe systemic disease that is a constant threat to life; ASA V: morbid patients unlikely to survive with or without surgery; ASA VI: brain death and organ donation [26].

Comorbidity

Presence of any systemic disease other than surgical reason [14].

Sample size determination

The sample size (n) needed for the study was calculated according to an observational study performed at the University of Gondar Compressive Specialized Hospital [14] and determined by the single population proportion formula.

n = \(\frac{(\text{Z}\frac{{\upalpha }}{2}{)}^{2} \text{p}\left(1-p\right)}{{\text{d}}^{2}}\) where

n = desired sample size.

P = the overall prevalence of mortality 8.1% [14].

\(\text{Z}\frac{{\upalpha }}{2}\)= critical value at the 95% confidence interval, i.e., 1.96

d = Margin of error between the sample and the proportion, i.e., 3% (0.03).

n = \(\frac{{\left(1.96\right)}^{2} 0.081\left(1-0.081\right)}{{\left(0.03\right)}^{2}}\)= 318, by adding a 10% =32 nonresponse rate sample size for the first objective = 350.

For the second objective, the sample size was calculated by considering significantly associated factors. Preoperative sepsis (AOR = 6.7), mechanism of abdominal injury (blunt abdominal injury) (AOR = 7.25), age > 65 (AOR = 6.7), and SBP < 90 mmHg (AOR = 8.6).

The final sample size for this study was taken from the 2nd objective: 332 + 33 (10%) = 365. Because the sampling procedure has a design effect (1.5), multiplied by the final sample size for the second objective, it was 365 × 1.5 = 548 (Table 1:).

Table 1 Sample size determination to assess the magnitude of in-hospital mortality and its associated factors among patients undergone laparotomy at tertiary hospitals, West Oromia, Ethiopia, 2022 (for second objective)

Sampling procedure

All patients who undergone laparotomy surgery from January 1, 2017, to December 31, 2021, were included through a systematic random sampling technique using the hospital ward registration list as a sampling frame, and the sample size for selected hospitals was proportionally allocated (Fig. 1:).

Fig. 1
figure 1

Schematic presentation of sampling procedure on magnitude of in-hospital mortality and its associated factors mortality among patients undergone laparotomy at tertiary hospitals, West Oromia, Ethiopia, 2022

Data collection tools and procedure

A structured checklist prepared in English and adapted from [14, 27,28,29] was used to collect data. Data collectors collected all the information from the chart into a data abstraction format. Six BSc nurses (two in each hospital) were recruited to collect data and three MSC nurses (one in each hospital) to supervise daily activities in each hospital.

Data quality management

Investigators gave training on the use of the study protocol to data collectors and supervisors. The abstract sheet was pretested on 27 (5%) medical records at the Wallaga University Referral Hospital. The reliability of the data extraction sheet has been checked and verified by experts. During data collection, all data were collected and correctly compiled in a prepared format. The investigators supervised and facilitated the entire data collection and completeness check process.

Data processing and analysis procedure

The data were checked for completeness and consistency and then coded and entered using Epi-Data Version 4.6. The data were also cleaned and analyzed using SPSS version 25. The outliers were screened through visual assessment for scattered plot diagrams. Box plots and histograms, as well as Kolmogorov-Spiro, were used to test normality. Descriptive statistics were computed to determine frequencies and summary statistics (mean, standard deviation, median, IQR, and percentage). The data were summarized and presented using text, tables, and charts. All variables with P < 0.2 in the bi-variable analysis were included in the final model of multivariable analysis to control possible confounders. The correlation between independent variables was tested for multicollinearity by using the variance inflation factor (VIF = 1.17–4.23) and correlation matrix < 1. Model fitness was checked with the Hosmer-Lemeshow test (0.103). A statistically significant value was declared using the adjusted odds ratio (AOR) at a 95% confidence interval and a p value < 0.05.

Results

Patient-related factors

A total of 512 patient charts were reviewed with a 93.43% response rate, while 36 (6.57%) were excluded due to missing or incomplete outcome variables. The majority of them, 401 (78.32%), were between the ages of 18 and 64 year. Patients ranged in age from 1 to 92 year, with a mean of 36.24 and SD = 0.755 year. Among the 512 study participants, 319 (62.3%) were males, and 281 (54.9%) were from rural areas. The majority of patients (n = 388, or 75.8%) had American Society of Anesthesiologists Physiological Status I. Preoperatively associated comorbidities were present in 73 (14.3%) of the patients. The majority of the 482 study participants (94.1%) had a systolic blood pressure of greater than 90 mmHg (Table 2).

Table 2 Patients related factors among patients undergone laparotomy at tertiary hospitals, West Oromia, Ethiopia, 2022 (n = 512)

Disease-related factors

Among the 512 participants, 294 (57.4%) were seen initially at the emergency department, and 82 (16%) were admitted for elective laparotomy. The majority of patients, 482 (82.2%), presented within 7 days of their initial symptoms, and 115 (22.5%) had preoperative sepsis. Thirty (36.6%) patients were admitted for elective laparotomy for cholelithiasis; fourteen (17.1%) had gastric outlet obstruction; and eleven (13.4%) had rectal cancer. The majority of patients (84.9%) were admitted for a non-traumatic emergency laparotomy. The most common reason for a non-traumatic emergency laparotomy was to diagnose acute appendicitis, which accounted for 27.55%, followed by small bowel obstruction, which accounted for 17.8%. The most common reason for a traumatic emergency laparotomy was diaphragmatic injury 29.6% (Table 3):.

Table 3 Admission status of patients undergone laparotomy at tertiary hospitals, West Oromia, Ethiopia, 2022 (n = 512)

Health care intervention

An abdominal ultrasound was performed for 43.9% of the 512 patients. Among 512 patients, 73.4% had hemoglobin 11–18 mg/dl, 93.4% of study participants had a platelet count of 150–450 × 109/L, and 73.4% of study participants had a platelet count of 4–11 × 103/mm3. Antibiotic prophylaxis was administered to 100% of patients, but only 86.5% received preoperative medication. Within 30 days, 3.3% of patients had a re-laparotomy within 30 days (Table 4:).

Table 4 Factors related to health care intervention among patients undergone laparotomy surgery at tertiary hospitals, West Oromia, Ethiopia, 2022 (n = 512)

Surgical procedure

Appendectomy was the most common surgical procedure performed (27.1%), followed by anastomosis resection (15.2%). Almost all patients (99.8%) undergone surgery under general anesthesia, and the WHO surgical safety checklist was used for 86.3% of the patients. One hundred and seven (20.9%) patients received early surgical intervention, 79.1% received surgical intervention more than six hours after hospital admission, and the majority of patients (90%) experienced intraoperative blood loss of ≤ 500 ml (Table 5).

Table 5 Surgical procedure among patients undergone laparotomy surgery at tertiary hospitals, West Oromia, Ethiopia, 2022 (n = 512)

Patient condition and transfer after surgery

Only 3.2% of patients were directly transferred from the operating theatre to the intensive care unit, while 94.3% of patients were transferred to the surgical ward after the operation. The majority of patients (92.2%) stayed in the hospital for less than 14 days, with a median of 7 and an interquartile range of 7 ± 4 days. One hundred fifty-one (29.5%) had postoperative surgical complications, including hemorrhage (3.3%), hospital-acquired pneumonia (2.9%), and wound infection (9.0%) (Table 6:). More than three quarters of patient’s undergone laparotomy, (92.58%) were discharged with alive (after improvement) (Fig. 2:).

Table 6 Post-operative care and hospital stay among patients undergone laparotomy surgery at tertiary hospitals, West Oromia, Ethiopia, 2022 (n = 512)
Fig. 2
figure 2

Discharge status. A total of 512 patients undergone laparotomy, the overall in-hospital mortality rate was 7.42%

Factors associated with in-hospital mortality

In the final multivariable analysis, age of patients, ASA status, comorbidity, low systolic blood pressure at admission, presence of preoperative sepsis, re-laparotomy within 30 days, blood transfusion, duration of anesthesia, duration of surgery, intraoperative blood loss, ICU admission, intraoperative vasopressor use, length of hospital stay, and postoperative surgical complications had values of 0.2. A significant association between the outcome variable and multivariable logistic regression was discovered. Patients with ASA status III, low systolic blood pressure at admission, preoperative sepsis, ICU admission, and length of hospital stay of 14 had a p value of less than 0.05.

The odds of death after laparotomy surgery for patients with an ASA status of ≥ III was approximately 7.6 times higher than for patients with an ASA status of I and II [AOR = 7.64 (95% CI: 3.12–18.66)]. The odds of death after laparotomy was six times higher in patients with systolic blood pressures of less than 90 mmHg at admission [AOR = 6.11 (95% CI: 1.98–18.80)] than in patients with blood pressures of greater than 90 mmHg at admission. The odds of mortality after laparotomy surgery was 3.5 times higher in patients with preoperative sepsis than in patients without sepsis [AOR = 3.54 (95% CI: 1.53–8.19)]. Patients admitted to the intensive care unit had a 4.7 more likely to die than those who were not admitted. The odds of death among patients who stayed in the hospital for ≥ 14 days were 6.7 times greater than those who stayed for < 14 days [AOR = 6.76 (95% CI: 2.50–18.26)] (Table 7:).

Table 7 Bi-variable & multivariable logistic regression analysis on factors associated with in-hospital mortality after laparotomy (n = 512)

Discussion

The overall in-hospital mortality rate among patients who had undergone laparotomy was 7.42% [95% CI: 5.4–9.8]. This study agreed with the studies performed at the University of Gondar Comprehensive Specialty Hospital [14], St. Paul Millennium Hospital, Addis Ababa, 8.5% [15], Nigeria, 8% [30]. These studies also show lower results than studies conducted in Mali (14.8%) [12], Ghana (11.5%) [31], Tanzania (17%) [27] and Denmark (20.2%) [32]. Possible explanations for the discrepancy include study duration, indication, and study design. The Mali study was conducted prospectively at a single center over six months among adults hospitalized for emergency laparotomies, whereas the Ghana and Tanzania studies included a one-year retrospective for emergency laparotomies. A study in Denmark was conducted among 18-year-old patients who were hospitalized for abdominal emergencies. The deviations may be due to differences in the respondents’ sociodemographic characteristics and the length of the study. The evidence also suggested that the study’s short duration may not have been long enough to adequately represent the full spectrum of mortality [28]. This study also compared less with two previous studies conducted in the United States, where mortality rates were 21% and 23.3% [33, 34]. The difference could be explained by the fact that both of these studies were conducted in a trauma center among patients undergoing traumatic laparotomies. There are also differences in age between study units. The first study, conducted in the United States, included only patients aged 16 and above, while the second study included patients aged 55 and above. Previous research found that when study units were elderly, the risk of death after laparotomy surgery increased [12, 35].

Regarding factors, patients with ASA status ≥ III were nearly eight times more likely to die than those with ASA status I and II. This study consistent with the studies performed at the University of Gondar Comprehensive Specialty Hospital [14]. In contrast, Addis Ababa, St. In the Paul Millennium Hospital study, patients’ ASA status had no effect on mortality after emergency laparotomy [15], and a study performed in South Africa found that patients with lower ASA had a higher mortality rate [28]. The difference could be explained by the study’s short duration and the age groups represented in the study units. The majority of study units in Addis Ababa study were found in the 19–29 age groups among patients with abdominal trauma, whereas the study in South Africa included adult patients who were admitted to emergency laparotomy surgery for only three months. A previous study discovered that older patients had a higher ASA physical status, which was associated with an increased incidence of postoperative adverse events. ASA may help improve surgical intervention by assessing patient age and physical condition [36]. The findings from this study are supported by studies done in Malawi [12], the UK [37,38,39], Singapore [40], the USA [33], Turkey [41] and Ireland [42]. The possible explanation for this consistency is that patients’ ASA status contributes to decreased physiological reserve and that the negative effect of underlying abdominal pathology may contribute to an increased risk of postoperative mortality in laparotomy patients [43].

In this study, patients with a SBP less than 90 mmHg at admission were approximately six times more likely to die than patients with a systolic blood pressure greater than 90 mmHg. This finding is supported by studies conducted in Gondar [14], Addis Ababa [15], the United States of America [34] and the Netherlands [7]. The reason for consistency may be explained by the possibility that patients with intra-abdominal disease may experience hypovolemia due to intraluminal fluid accumulation, intra-abdominal hemorrhage, distributive shock from severe inflammation, or hypovolemia from the gastrointestinal tract through vomiting or diarrhea. In these cases, fluid resuscitation will need to continue during the perioperative period in accordance with the underlying cause [44].

The current study identified that patients who had preoperative sepsis were nearly four times more likely to die than those who did not have preoperative sepsis. This finding is consistent with findings from a study performed at the University of Gondar Comprehensive specialized Hospital [14], UK and Brazil [37, 45]. Evidence from the USA also showed that the presence of severe sepsis was independently associated with mortality after laparotomy surgery [46]. It can be explained that patients with preoperative sepsis are more likely to develop postoperative complications that result in organ dysfunction due to tissue hypo-perfusion, increased morbidity and mortality, and hospitalizations costs [47,48,49].

In this study, intensive care unit admission was a significant factor associated with mortality. Patients admitted to the intensive care unit while in the hospital were nearly five times more likely to die than those who were not admitted. This finding is supported by research conducted in various parts of the world, including South Africa [28], Rwanda [50], the UK [39], Singapore [40], Ireland [42], the Netherlands [7], and China [51].

This may be explained by patients admitted to the intensive care unit having a poor clinical outcome following laparotomy surgery due to poor general health and multiple potential risk factors. The length of stay in the intensive care unit can have an impact on patient mortality. Early discharge from intensive care may save the patient’s life by preventing treatment and hospital complications [52].

The length of hospital stay was found to be significantly associated to mortality in this study. Patients who stayed in the hospital for more than 14 days were nearly seven times more likely to die than those who did not. This study is supported by research from South Africa and Nigeria that shows that patients hospitalized for more than 14 days after laparotomy surgery have a higher risk of dying. The length of hospital stay may reflect the severity of the disease, necessitating a lengthy hospital stay until recovery, or the patient’s medical condition [28, 53]. One possible explanation for the similarity is that patients who stay in the hospital for an extended period of time are more vulnerable to postoperative complications, nosocomial infections, and increased mortality after laparotomy surgery [54,55,56].

Limitation and strength of the study

This is the first multicenter study conducted on in-hospital mortality after laparotomy at tertiary hospitals in the study area and Ethiopia, which may provide insight into the severity of the current problem and the need for the patient’s perioperative care and may be used as a reference for future researchers.

Conclusion

In this study, the overall magnitude of in-hospital mortality after laparotomy was high. American Society of Anesthesiology physiological status, low systolic blood pressure at admission, presence of preoperative sepsis at admission, intensive care unit admission, and length of hospital stay greater than fourteen days were factors associated with in-hospital mortality among patients who undergone laparotomy surgery.

Recommendations

To the respective institutions, hospitals, and health care professionals

General recommendation to decrease in-hospital mortality after laparotomy surgery.

  • The authors’ advice is to use preoperative risk identification guidelines, appropriate perioperative resuscitation and optimisation, early control of the sources of sepsis, and appropriate monitoring in the postoperative critical care unit for patients who stay in the hospital for a long time.

  • For seriously ill patients with sepsis, treatments, including fluid resuscitation, broad-spectrum antibiotics, and laboratory investigation, should be immediately initiated.

  • For future researchers, we recommend that researchers who are interested in the area conduct prospective follow-up studies.